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  • 8/10/2019 365 Days of Medical Physics_ May 2012

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    Nuggets of knowledge about medical physics.

    365 Days of Medical Physics

    24 May 2012

    IMAT/VMAT basics

    One of the newest and most interesting external beam delivery techniques today goes by many

    names: intensity modulated arc therapy (IMAT), volumetric modulated arc therapy (VMAT), etc.

    To make things more confusing, vendors have each given this technique their own proprietary

    names: RapidArc (Varian), SmartArc (Philips), and VMATTM[didn't I already say VMAT?]

    (Elekta). Maybe the most general and correct name for IMAT would be conebeam dynamic angle

    fluence modulated xray therapy(CBDAFMXT), but you might confuse that acronym with a

    chemotherapy drug name... In this post I'll discuss some of the ba sics of this arcbased form of

    IMRT (and just call it IMAT to keep things simple).

    At its most basic IMAT is essentially conventional IMRT, but with the gantry moving in one or

    more rotating arcs, rather than delivering from a small number of fixed angles. This means that

    most of the concepts and advantages and disadvantages of IMRT apply to IMAT (detailed below).

    IMAT was developed (and marketed!) as a conventional linacbased alternative to helical

    tomotherapy and as a more conformal / lower critical structure dose andfaster version of static

    angle IMRT.

    In the figure showing the IMRT hierarchy, IMAT is on the branch of conebeam, dynamic gantry

    IMRT. In order to deliver IMAT, a linac must have some of the following capabilities: gantry

    motion with beam on, dynamic MLC (i.e. leaf motion with beam on and gantry rotating), and

    variable dose rate.

    Planning of IMAT is very similar to conventional IMRT. The plan is determined by inverse

    planning methods. The degrees of freedom are increased by considering gantry rotation speed,

    dose rate, number of field shapes, number of arcs, etc. For planning, arcs are usually

    approximated with a f inite number of angles (e.g. 36). Constraints can be more tightly matchedwith multiple arcs at the expense of delivery time. Another important aspect in IMAT

    optimization is that MLC leaf speed limits the beam shape "distance" from one angle to the next,

    i.e. the MLC leaf positions cannot vary greatly from one angle to the next and thus beam shape

    "interconnectedness" must be taken in to account.

    Advantages of IMAT include:

    Highly conformal target volume dose with lower dose to critical structures than IMRT

    or 3DCRT, as dose is spread over more angles.

    Faster delivery times and lower MU's (especially single arc IMAT) when compared with

    IMRT.

    Noncoplanar arcs possible.

    Comparable plans to helical tomotherapy, but performed with a conventional linac.

    The hierarchy of IMRT techniques.

    Roy

    View my complete profile

    About Me

    19

    365 Days of Medical Physics blogging

    About this blog:

    Dosevolume histogram basics

    IMAT/VMAT basics

    Comparing dose distributions: Thegamma test

    Multileaf collimators: modern beamshaping

    The many faces of bolus

    Popular Posts

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    bolus (2) cDVH (2)DTA (2) DVH (2)

    imrt (2) intro (5)MLC

    (2) overview (2) QA(2) statistics (3)

    Labels

    2013 (1)

    2012 (15)

    May(10)

    IMAT/VMAT basics

    The many faces of bolus: Part 2

    Dosevolume histogram basics

    Compensatorbased IMRT

    Blog Archive

    19 Ms Siguiente blog Crear un blog Acced

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    Posted by Roy at 11:52 PM 3 comments:

    Labels: IMAT, intro, VMAT

    Disadvantages of IMAT include:

    Higher cost of hardware and software licensing relative to IMRT.

    Increased complexity of plans makes QA a poor diagnostic tool (i.e. hard to

    determine source of QA failures).

    IMAT delivery techniques are the obvious(?) next step following IMRT. In fact, it's hard to come

    up with a list of concrete disadvantages of IMAT over IMRT. (Please comment if you feel

    otherwise.) In our clinic it's one of the few new techniques that everyone seems to have adopted

    with open arms.

    Further reading:

    Cedric X Yu and Grace Tang, Intensitymodulated arc therapy: principles, technologies

    and clinical implementation, 2011 Phys. Med. Biol. 56 R31 doi:10.1088/0031

    9155/56/5/R01(open access).

    David Shepard, Clinical Implementation of Intensity Modulated Arc Therapy,

    presentation, 2009,

    http://www.medicaldosimetry.org/meetings/2009handouts/Shepard_VMAT.pdf

    Recommend this on Google

    20 May 2012

    The many faces of bolus: Part 2

    PreviouslyI discussed the role of bolus material in radiation therapy and some of the forms it

    takes. This post shows a couple of other examples.

    Super Stuff bolus, also known generically as pink bolus, is a moldable bolus material with the

    consistency of gelatin. The material is described by the manufacturer as a "hydophilic organic

    polymer" and is sold in individual powder packets. Pink bolus is supposed to have a density of

    1.02 g/cm3. To use the bolus, you add the necessary amount of water, allow the material to set,

    i.e. coming to its gelatinlike consistency, and then knead it into the shape you want. Over time

    pink bolus will lose its shape and must be reshaped. Eventually it will lose some consistency due

    to moisture loss and a new batch must be made. Care must also be taken to remove as many air

    bubbles as possible.

    Pink bolus molded into shape.

    A packet of pink bolus powder.

    Medical physics journals

    Comparing dose distributions: Thegamma test

    Comparing dose distributions: DTA anddosediffere...

    Radiation therapy availability aroundthe world

    New medical physicists in the US:Crunching the nu...

    The many faces of bolus

    April (5)

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  • 8/10/2019 365 Days of Medical Physics_ May 2012

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    Posted by Roy at 2:45 PM No comments:

    Labels: bolus

    Recently in our clinic we treated a patient with classic (i.e. nonHIV related) Kaposi sarcoma of

    the leg with photons. For this we decided to use rice grains as the bolus material. As with all

    bolus, the idea of using rice is to simulate tissue and modify the dose distribution as desired. In

    this case, increase of skin dose is desired.

    For this patient we built a polystyrene foam box and filled it with loose rice grains. It

    took approximately 10 kg of dry parboiled rice to fill the box with the patient's leg. The patient

    plus rice box was then scanned with the CT and planned as normal.

    The open access article linked below from Ahn et al. shows some dosimetric comparisons

    between the use of rice as a bolus and a water bolus for irradiating extremities. I will warn you

    that both methods create a mess at best :)

    Further reading:

    Ahn SK, Kim YB, Lee IJ, Song TS, Son DM, Jang YJ, Cho JH, Kim JH, Kim DW, Cho JH,

    Suh CO. Evaluation of a Waterbased Bolus Device for Radiotherapy to the

    Extremities in Kaposi's Sarcoma Patients. J Korean Soc Ther Radiol Oncol. 2008

    Sep;26(3):189194. http://dx.doi.org/10.3857/jkstro.2008.26.3.189 (Open access.

    In Korean with abstract and figure captions in English.)

    Rice bolus box for treating a patient's leg/foot.

    Some leftover rice (not) used as bolus material.

    Recommend this on Google

    17 May 2012

    Dosevolume histogram basics

    A dosevolume histogram (DVH) is a mathematical tool to assess the appropriateness of a given

    radiation therapy plan. It can be used to assess whether a plan meets desired constraints for a

    voulme of interest, within certain limitations. DVHs are widely used and understanding how

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  • 8/10/2019 365 Days of Medical Physics_ May 2012

    4/16

    Posted by Roy at 11:54 PM 9 comments:

    Labels: cDVH, dDVH, DVH

    they work is a basic skill for treatment plan assessment. In this post Ill discuss some DVH basics.

    A DVH is nothing more than a histogram, but it is important to understand where the data comes

    from and how the DVH is representing the data. Modern treatment plans are created based on 3D

    image sets created using CT, MRI, etc. These data sets consist of voxels (the 3D equivalent of

    pixels). A volume of interest, e.g. a PTV, consists of a subset of these voxels. The basic data in a

    DVH is generated by binning the dose values from each voxel in the volume. (Interpolation may

    be necessary if the bound of the volume intersects a voxel.) This binned dose frequency data

    comprises a differential dosevolume histogram, or dDVH, which I will discuss in more detail in a

    future post. The dDVH looks like a common histogram and gives you an idea of how many voxels

    receive a certain dose, e.g. the dDVH might show that 85% of the PTV voxels received 98%

    102% of the prescribed dose and 46% received exactly 100% of the prescribed dose.

    The more familiar form of DVH is the cumulative dosevolume histogram, or cDVH. This DVH is

    calculated by summing the dDVH starting at the dose of interest, D, up to the max dose, Dmax

    (Eq. 1).

    The cDVH displays the percent/number of voxels in a volume which receive at least a dose D,

    i.e. the cDVH of a volume irradiated perfectly uniformly to 100 cGy will show that 100% of the

    voxels received at least 30 cGy, 50 cGy, 80 cGy, etc, but 0% received 105 cGy. Thus for an ideal

    treatment plan, the cDVHs of the target volumes will have a rectangular, stepdown function

    appearance and the cDVHs of critical volumes will drop immediately to zero.

    In the real world treatment plans are not ideal (I know, its sad). Instead acceptable dose

    constraints are set for targets and critical structures. DVHs can be used to determine if these

    constraints are mets. One caveat is that standard DVHs do not directly provide spatial

    information about the dose distribution. One less than ideal method is to create subvolumes,

    but creating useful/meaningful subvolumes is a nontrivial exercise.

    Top image from Vorwerk et al. Radiation Oncology 2008 3:31, doi:10.1186/1748717X331, used under CC Licenseterms.

    A typical cumulative dosevolume histogram (cDVH).

    Eq. 1

    Recommend this on Google

    13 May 2012

    Compensatorbased IMRT

    Intensity modulated radiation therapy (IMRT) is almost always performed with the use of a

    multileaf collimator (MLC). This is, however, not the only way to deliver static angle IMRT.

    Another method is with the use of compensator blocks. In this post I will talk a little bit about

    this less common IMRT technique.

    http://medphys365.blogspot.com/search/label/cDVHhttp://creativecommons.org/licenses/by/2.0http://medphys365.blogspot.com/2012/05/compensator-based-imrt.htmlhttp://www.blogger.com/share-post.g?blogID=5277658315766141584&postID=4052496099203236182&target=pinteresthttp://medphys365.blogspot.com/search/label/DVHhttp://www.blogger.com/share-post.g?blogID=5277658315766141584&postID=4052496099203236182&target=twitterhttp://www.blogger.com/share-post.g?blogID=5277658315766141584&postID=4052496099203236182&target=facebookhttp://www.blogger.com/profile/14293477186383292023http://www.blogger.com/share-post.g?blogID=5277658315766141584&postID=4052496099203236182&target=bloghttp://medphys365.blogspot.com/2012/05/dose-volume-histogram-basics.html#comment-formhttp://www.ro-journal.com/content/3/1/31/http://2.bp.blogspot.com/-QH1LXw2hb40/T7XfTBBs0EI/AAAAAAAAAHw/PZjmkLrHZJ0/s1600/Vorwerk-cDVH1.jpghttp://medphys365.blogspot.com/2012/05/dose-volume-histogram-basics.htmlhttp://www.blogger.com/share-post.g?blogID=5277658315766141584&postID=4052496099203236182&target=emailhttp://medphys365.blogspot.com/search/label/dDVHhttp://3.bp.blogspot.com/-insnvXwHvks/T7Xywgz16nI/AAAAAAAAAH8/hXh_Vk9sBHs/s1600/cDVH-eq1.png
  • 8/10/2019 365 Days of Medical Physics_ May 2012

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    Posted by Roy at 11:56 PM No comments:

    Labels: compensator, imrt, MLC

    As discussed in a previous post, IMRT requires fluence modulation not possible with conventional

    poured / handcut blocks. This fluence modulation is necessary to achieve the desired target

    matching and critical structure sparing via inverse planning optimization. This fluence

    modulation is typically achieved using an MLC, which has many advantage as well as

    disadvantages. An alternative method, in use since at least the mid 1990's, is fluence modulation

    via solid compensator blocks designed for each individual field. The above image shows a sample

    compensator made of milled brass.

    Compensatorbased IMRT is purported to have several advantages over MLCbased IMRT,

    including:

    Being static, each field is delivered more quickly (also lower MU's).

    Fluence patterns can be closer to the ideal, i.e. not limited by leaf size, speed, or

    leakage.

    Potentially cheaper.

    Avoids field splitting. (Did I ever mention I hate split fields?!?)

    Along with these advantages come possible drawbacks, including:

    Long fabrication times, versus automated MLC patterens.

    Therapists must change compensator for each field.

    Potential for beam hardening.

    Large size / weight to achieve low dose regions.

    Compensators can be fabricated from a range of materials, including brass, Wood's metal

    (Cerrobend), PMMA (Plexiglas), and tungsten powder composite. Milling. molding, or stacking

    and bolting are possible fabrication techniques. A handful of companies sell custom fabricated

    IMRT compensators on demand, delivering within one or two days of order.

    Do you have any experience with this technique?

    Further reading:

    Chang, S., Cullip, T., Deschesne, K., Miller, E., & Rosenman, J. Compensators: An

    alternative IMRT delivery technique. Journal Of Applied Clinical Medical Physics, 5(3),

    2004. doi:10.1120/jacmp.v5i3.1965 (open access)P.C. Williams, IMRT: delivery techniques and quality assurance, British Journal of

    Radiology (2003) 76, 766776, doi: 10.1259/bjr/12907222(open access?)

    Brass IMRT field compensator from .decimal, Inc.

    Recommend this on Google

    11 May 2012

    Medical physics journals

    If you want to keep up to date on the latest developments in medical physics, journals are one of

    the best resources. In this post I'm going to compile a list of medical physics journals and

    http://bjr.birjournals.org/content/76/911/766.fullhttp://medphys365.blogspot.com/2012/05/compensator-based-imrt.htmlhttp://medphys365.blogspot.com/2012/04/basics-of-imrt-overview.htmlhttp://medphys365.blogspot.com/search/label/compensatorhttp://www.blogger.com/share-post.g?blogID=5277658315766141584&postID=8314635032260864515&target=bloghttp://medphys365.blogspot.com/2012/05/compensator-based-imrt.html#comment-formhttp://www.blogger.com/profile/14293477186383292023http://medphys365.blogspot.com/2012/04/multileaf-collimators.htmlhttp://medphys365.blogspot.com/2012/05/medical-physics-journals.htmlhttp://www.blogger.com/share-post.g?blogID=5277658315766141584&postID=8314635032260864515&target=twitterhttp://www.blogger.com/share-post.g?blogID=5277658315766141584&postID=8314635032260864515&target=facebookhttp://medphys365.blogspot.com/search/label/imrthttp://medphys365.blogspot.com/search/label/MLChttp://4.bp.blogspot.com/-Gs6Gb6tq6nc/T7CTEAHgzgI/AAAAAAAAAHY/g4ifqrIXOls/s1600/Decimal_compensator_nima.JPGhttp://www.jacmp.org/index.php/jacmp/article/view/1965http://www.blogger.com/share-post.g?blogID=5277658315766141584&postID=8314635032260864515&target=pinteresthttp://www.blogger.com/share-post.g?blogID=5277658315766141584&postID=8314635032260864515&target=email
  • 8/10/2019 365 Days of Medical Physics_ May 2012

    6/16

    Posted by Roy at 12:36 AM 4 comments:

    Labels: journals, open access

    journals with medical physics related content. I will also mention the degree of open access for

    each journal (that I'm aware of) and the hindexas computed by Google Scholar.

    Medical physics specific journals:

    Medical Physics, published by AAPM. Some article types made open access. h5index:

    45.

    Physics in Medicine and Biology, published by Institute of Physics. Open access option

    for authors with publishing fee. h5index: not available.

    Journal of Applied Clinical Medical Physics, published by AAPM. Fully open access. h5

    index: 15.

    Journal of Medical Physics, published by the Association of Medical Physicists of India.

    Fully open access. h5index: 7.

    arXiv.org medical physics category. Fully open access. Overall for arXiv.org, h5index:

    256.

    Magnetic Resonance in Medicine, published by the International Society for Magnetic

    Resonance in Medicine. Paid access only. h5index: 50.

    Other journals with medical physics content:

    The Red Journal(International Journal of Radiation Oncology * Biology * Physics),

    published by ASTRO. Paid access only. h5index: 68.

    The Green Journal(Radiotherapy and Oncology), published by ESTRO. Paid access

    only. h5index: 48.

    Radiation Oncology, published by BioMed Central. Fully open access. h5index: 23.

    Practical Radiation Onoclogy, published by ASTRO. Paid access only. h5index: N/A.

    Medical Dosimetry, published by the American Association of Medical Dosimetrists.

    Paid access only. h5index: 15.

    More info can be found on the state of open access and medical physics publications in my post

    about open access on Will Work for Science.

    Any other additions to add?

    +1 Recommend this on Google

    10 May 2012

    Comparing dose distributions: The gamma test

    In my last post I discussed dose distribution comparison with dose difference and distanceto

    agreement (DTA) tests. Another widely used and closely related method for comparing dose

    distributions is the gamma test.

    The gamma test was first introduced by Low et al. in 1998 as a single metric that combined

    features of both dose difference and DTA, while performing robustly in the regions where those

    are prone to failure. Conceptually, gamma is very similar to dose difference and DTA, but

    combines them into an abstract metric resembling a distance (Eq. 1). In this way both dose

    difference and DTA are taken into account for every point compared (rather than eitheror as

    previously discussed).

    In the above equations I have used somewhat different notation than Low et al. in an attempt to

    make things slightly clearer.

    If we wish to compare two dose distributions, e.g. a measured versus a calculated distribution,

    we will have a dose, Da(ra), in the first distribution at point ra, and a dose, Db(rb), at the

    Eq. 1

    Eq. 2

    http://www.practicalradonc.org/http://www.jacmp.org/http://medphys365.blogspot.com/2012/05/comparing-dose-distributions-gamma-test.htmlhttp://www.sciencedirect.com/science/journal/09583947http://www.ro-journal.com/http://www.blogger.com/profile/14293477186383292023http://medphys365.blogspot.com/2012/05/comparing-dose-distributions-dta-and.htmlhttp://medphys365.blogspot.com/2012/05/medical-physics-journals.html#comment-formhttp://4.bp.blogspot.com/-pjT5xSJPTDY/T7CD00gG95I/AAAAAAAAAG4/uhIV3uHm_Ps/s1600/gamma-eq1.pnghttp://iopscience.org/pmbhttp://www.medphys.org/http://willworkforscience.blogspot.com/2011/01/open-access-medical-physics-and.htmlhttp://medphys365.blogspot.com/2012/05/medical-physics-journals.htmlhttp://en.wikipedia.org/wiki/H-indexhttp://www.aapm.org/http://www.jmp.org.in/http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1522-2594http://www.blogger.com/share-post.g?blogID=5277658315766141584&postID=4014840933681586672&target=twitterhttp://scholar.google.com/intl/en/scholar/metrics.htmlhttp://www.blogger.com/share-post.g?blogID=5277658315766141584&postID=4014840933681586672&target=facebookhttp://medphys365.blogspot.com/search/label/open%20accesshttp://medphys365.blogspot.com/search/label/journalshttp://arxiv.org/list/physics.med-ph/recenthttp://www.blogger.com/share-post.g?blogID=5277658315766141584&postID=4014840933681586672&target=pinteresthttp://www.blogger.com/share-post.g?blogID=5277658315766141584&postID=4014840933681586672&target=bloghttp://2.bp.blogspot.com/-xERYTfAD83I/T7CD1LNvJSI/AAAAAAAAAG8/3GzsPXEy3kw/s1600/gamma-eq2.pnghttp://journals.elsevierhealth.com/periodicals/radohttp://www.blogger.com/share-post.g?blogID=5277658315766141584&postID=4014840933681586672&target=emailhttp://www.sciencedirect.com/science/journal/03603016
  • 8/10/2019 365 Days of Medical Physics_ May 2012

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    Posted by Roy at 12:40 AM 5 comments:

    Labels: DTA, gamma, QA

    corresponding point rbin the second distribution. The DTA condition is fulfilled when Da(ra) =

    Db(rb+r), where ris an arbitrary point a distance |r| away from rb. This condition defines an

    isodose contour in distribution baround point rb. Away from this contour the DTA, dDTA, is

    undefined. DTA is used with a threshold passing value, DTA, e.g. 3mm. A DTA smaller than the

    threshold is considered passing for a simple DTA test. For gamma, DTAis used to normalize the

    DTA value, such that a normal passing value would then be unity.

    Dose difference is simply the difference of the two doses at the corresponding points: |D a(ra) =

    Db(rb)|. As with DTA, a pass/fail threshold, DD, is used in the simple dose difference test, but

    is used to normalize the result in the gamma equation, such that the normal "passing" value

    would be unity.

    We now have two components: normalized DTA and normalized dose difference. By squaring

    these values, adding, and taking the square root, we have a distancelike metric, , shown in

    Eq. 1. Because DTA is only defined for values of r, such that Da(ra) = Db(rb+r), is only defined

    when that condition is met (geometrically located along the DTA isodose contour).

    Finally, the actual gamma index, , is determined by finding the minimum value of by varying

    r. This essentially means traveling along the isodose contour and finding the point at which DTA

    is smallest.

    The convention is for passing to be 1 and failing to be > 1. You will notice that a point

    yielding normalized DTA = 1 and normalized dose difference = 1 would now fail, since the

    corresponding would be 2.

    What provides is a single value to evaluate, versus using separate tests and then consideringboth. As with DTA, presents challenges in efficient implementation (clearly Eq.'s 1 and 2 are

    not hand solvable).

    Your comments (especially corrections) are appreciated.

    Roy

    Further reading:

    D. A. Low, W. B. Harms, S. Mutic, and J. A. Purdy, A technique for the quantitative

    evaluation of dose distributions, Med. Phys. 25, 656 (1998);

    http://dx.doi.org/10.1118/1.598248

    Recommend this on Google

    06 May 2012

    Comparing dose distributions: DTA and dosedifference

    Radiation therapy plan quality assurance often hinges on comparing calculated dose distributions

    with measured dose distributions. One of the most common techniques to compare dose

    distributions is the combined use of distancetoagreement (DTA) and dose difference. In this

    post I will give an overview of these concepts.

    Dose difference is a very straight forward comparison of dose at corresponding points in two

    distributions. Given a point apin the planned distribution and the corresponding point amin the

    measured distribution, the dose difference is simply D(am) D(ap). A passing criterion is used,

    e.g. 3% of planned dose, such that if the measured dose difference is

  • 8/10/2019 365 Days of Medical Physics_ May 2012

    8/16

    Posted by Roy at 3:00 PM 7 comments:

    Labels: DTA, QA

    Distancetoagreement (DTA) is also very straight forward conceptually. Given a point apin the

    planned distribution and the corresponding point amin the measured distribution, the distance

    toagreement is the nearest point in the measured distribution from am, such that D(am+ r) =

    D(ap). As with dose difference, a passing criterion is chosen, e.g. 3 mm. If the matching dose

    level is found within a radius of

  • 8/10/2019 365 Days of Medical Physics_ May 2012

    9/16

    Posted by Roy at 1:00 AM No comments:

    Labels: IAEA, statistics, world

    The above map color codes each country as a function of radiation therapy machines (linacs,

    teletherapy, or HDR) per capita as of 2010. A more uptodate, interactive version is found here.

    The DIRAC site also provides the raw data and even information on individual clinics in each

    country.

    While there are certainly nonnegligible error bars on their data, the numbers are revealing,

    though largely what you'd expect. The highest GDP per capita (or likely highest health spending

    per capita) countries show up in green on the above map (5 or more machines per million) and

    the poorest countries show up in dark orange or red ( < 1 machine per million). Togo is red

    because it has zero machines.

    I think the main implications on the medical physics end is with regards to education

    and dissemination of current knowledge to countries with few physicists. The US, population

    approximately 3.1x10^8, is listed as having 1728 therapy physicists (probably a low estimate)

    versus India, population approximately 1.2x10^9, listed as having 144 therapy physicists. Clearly

    the manyears of experience are highly concentrated in the green countries. I'll claim that it's

    our duty in the green countries to help educate our colleagues in the countries with less local

    access to their professional and academic peers.

    IAEA statistics on radiation therapy machines per capital in 2010.

    Recommend this on Google

    03 May 2012

    New medical physicists in the US: Crunching the numbers

    If you are entering the field of medical physics or have been around for a while, you might be

    wondering "how many new medical physicists are joining the ranks each year?" In the US this is

    an especially important question in light of the 2014 ABR residency mandate and possible effects

    of an aging population on cancer incidence.

    As a recent graduate, one of the topics fresh on my mind is the number of jobs available to

    graduating students. This is of course a supply and demand game (or possibly a supply and supply

    game when you consider number of residency spots). Since potential medical physicists in the US

    can come from many different "sources" (i.e. accredited medical physics grad programs, non

    accredited medical physics grad programs, nonmedical physics grad programs), it would be

    somewhat difficult to directly count the number of new grads. I think it is therefore instructiveto look at the raw stats of the number of people taking the ABR medical physics board exams,

    which are (recently?) available on the ABR website.

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  • 8/10/2019 365 Days of Medical Physics_ May 2012

    10/16

    Posted by Roy at 12:04 AM No comments:

    Labels: ABR, statistics, workforce

    What we see in the data is a marked increase in the number of people taking all three parts of

    the ABR certification exam over the period of 2006 2010, with a slight downtick in 2008. The

    increase in the number taking Part 3 (Oral) in all specialties is +45% (220 in 2006 to 319 in

    2010). The increase in the number taking Part 1 over the same time period is approximately

    +35%.

    This presents the obvious question of what will happen to this trend when the ABR residency

    requirement takes full effect in 2014.

    For more info on this topic:

    Mills MD, Thornewill J, Esterhay RJ. Future trends in the supply and demand for

    radiation oncology physicists. J Appl Clin Med Phy. 2010 Apr;11(2) (open access!)

    Jean Moore, Medical Physics Workforce Study: Overview, AAPM presentation, 2010

    Final report AAPM Workforce Study Report (AAPM login required)

    Recommend this on Google

    02 May 2012

    The many faces of bolus

    Bolus is a simple, yet important technology used in radiation therapy. The most basic function of

    bolus material is to shape the dose distribution in a desired way. This generally falls into two

    categories: compensating for "missing" tissue and enhancing the buildup effect of MeV energy

    photon beams.

    The bolus itself can be made of a huge variety of materials depending on the application. Below

    are some materials used as bolus, all of which are applied directly to the skin surface.

    http://www.aapm.org/AAPMUtilities/download.asp?file=surveys/workforce/Synthesis.pdfhttp://medphys365.blogspot.com/2012/05/new-medical-physicists-in-us-crunching.html#comment-formhttp://medphys365.blogspot.com/search/label/statisticshttp://www.blogger.com/share-post.g?blogID=5277658315766141584&postID=7243474880050880667&target=pinteresthttp://www.jacmp.org/index.php/jacmp/article/viewArticle/3005/1881http://www.aapm.org/meetings/amos2/pdf/49-14390-20662-212.pdfhttp://www.blogger.com/share-post.g?blogID=5277658315766141584&postID=7243474880050880667&target=twitterhttp://1.bp.blogspot.com/-CsXnH0iz7uU/T6IflhHek2I/AAAAAAAAAFg/aKWXGbuZT8k/s1600/ABR-stats1.pnghttp://www.blogger.com/profile/14293477186383292023http://medphys365.blogspot.com/search/label/workforcehttp://medphys365.blogspot.com/search/label/ABRhttp://www.blogger.com/share-post.g?blogID=5277658315766141584&postID=7243474880050880667&target=facebookhttp://medphys365.blogspot.com/2012/05/new-medical-physicists-in-us-crunching.htmlhttp://medphys365.blogspot.com/2012/05/many-faces-of-bolus.htmlhttp://www.blogger.com/share-post.g?blogID=5277658315766141584&postID=7243474880050880667&target=emailhttp://www.blogger.com/share-post.g?blogID=5277658315766141584&postID=7243474880050880667&target=blog
  • 8/10/2019 365 Days of Medical Physics_ May 2012

    11/16

    "Superflab" vinyl plastic bolus in 5mm and 3mm thicknesses.

    Edge view of Superflab sheets.

    Wet towels can provide bolus with tissue like properties.

    http://2.bp.blogspot.com/-PswfhKbRW04/T6DU3TY1jVI/AAAAAAAAAFA/h2spwnEqucw/s1600/towel.jpghttp://3.bp.blogspot.com/-GjfNvYrC5GY/T6DU4JfhyBI/AAAAAAAAAFI/oXJ9qBu9jRo/s1600/vaseline_gauze.jpghttp://2.bp.blogspot.com/-WCgf2FCzj5c/T6DU1vrT5II/AAAAAAAAAEw/erUUhVDrMBo/s1600/superflab_bolus1.jpghttp://4.bp.blogspot.com/-3Y9W0Jy4Wic/T6DU2aG0tJI/AAAAAAAAAE4/yy-n5lUyyVQ/s1600/superflab_bolus2.jpg
  • 8/10/2019 365 Days of Medical Physics_ May 2012

    12/16

    - Pgina 2 -

    Nuggets of knowledge about medical physics.

    365 Days of Medical Physics

    30 April 2012

    Multileaf collimators: modern beam shaping

    One of the most important aspects of therapeutic radiation delivery is beam shaping. The most

    common technology currently used to shape xray beams is the multileaf collimator or MLC.

    Roy

    View my complete profile

    About Me

    365 Days of Medical Physics blogging

    About this blog:

    Dosevolume histogram basics

    IMAT/VMAT basics

    Comparing dose distributions: Thegamma test

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  • 8/10/2019 365 Days of Medical Physics_ May 2012

    13/16

    Posted by Roy at 11:59 PM 1 comment:

    Labels: intro, MLC, overview

    MLC's consist of dozens of independently moving slats, or leaves, which can collimate the beam

    into nearly arbitrary shapes. MLC's were first introduced in the 1960's in Japan as a means of

    replacing conventional blocks in 3D conformal radiation therapy (3DCRT). Today they are

    standard on most therapy linacs and enable modern techniques based on intensity modulation.

    Key advantages of MLC's include:

    Dynamic movement of leaves during delivery allows for intensity modulated fluencepatterns not achievable with conventional blocks.

    Finite set of possible aperture shapes results in a reasonable solution space for inverse

    planning optimization for IMRT, VMAT, etc.

    Significantly more convenient than cutting custom blocks for every field.

    Drawbacks of MLC's include:

    Large number of leaves increases possibility of mechanical failure (i.e. reliabili ty

    issues).

    Nonzero interleaf leakage.

    Smoothness of shaping dependent on size of leaves and speed of leaf motors.

    Almost everyone can agree that MLC's have been a huge advance in radiation therapy, with the

    advantages far outweighing the disadvantages. I plan to discuss MLC alternatives in a future

    post.

    Image courtesy of Varian Medical Systems, Inc. All rights reserved. (source)

    120 leaf multileaf collimator.

    29 April 2012

    The basics of IMRT: an overview

    Intensity modulated radiation therapy(IMRT) is one of the workhorse delivery methods in

    current radiation therapy. In many ways, it is a significant step up over the previous standard

    technique of 3D conformal radiation therapy (3DCRT). I'm going to start talking about IMRT with

    a very basic overview of how it works.

    IMRT is a technique to plan and deliver MeV range xray therapy. The main advance with IMRT

    over 3DCRT is the algorithmic optimization of dose from all delivery angles at the same time to

    meet a predefined set of objectives, socalled inverse planning. This is accomplished by using

    multileaf collimators, which can create arbitrary aperture shapes (within reason), thus

    modulating the dose to the targets. In turn, this gives the dose optimization algorithm a large

    number of parameters to work with to achieve the desired dose shape.

    Multileaf collimators: modern beamshaping

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  • 8/10/2019 365 Days of Medical Physics_ May 2012

    14/16

    Posted by Roy at 11:28 PM 1 comment:

    Labels: imrt, intro, overview

    Key steps in IMRT planning and delivery:

    Acquisition of patient geometry (via CT, MRI, etc).

    Delineation of targets and avoidance volumes.

    Beam angle and energy selection.

    Optimization of fluences to desired prescription

    and avoidance objectives.

    Assessment of DVH's.

    QA via secondary calculations and field measurements.

    Further reading:

    Bortfeld, IMRT: a review and preview, Phys. Med. Biol. 51 R363,

    2006 doi:10.1088/00319155/51/13/R21

    KY Cheung, Intensity modulated radiotherapy: advantages, limitations and future

    developments, Biomed Imaging Interv J 2006;2(1):e19 (open access)

    Top image by TaheriKadkhoda et al. Radiation Oncology 2008 3:4 doi:10.1186/1748717X34 licensed under CC licensing.

    Bottom image by ZEEs and licensed under CC licensing.

    Diagram of a multileaf collimator.

    Measurement theory in the clinicCollecting data is one of the main daytoday activities of the clinical physicist. Examples from

    the radiation therapy clinic include PDD's, mechanical alignment parameters, ambient

    temperature and pressure, source autoradiographs, IMRT planar dose distributions, setup SSD's,

    and CT number data. Patient outcomes, safety, and a host of other issues often rely on the

    quality and interpretation of that data.

    One thing that sets medical physicists apart from most everyone else in the clinical environment

    and is crucial to performing our jobs well is having a strong grasp on the theory of measurement.

    Key concepts include: the statistical nature of data, the role of calibration, instrument

    resolution, and uncertainty and error propagation.

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  • 8/10/2019 365 Days of Medical Physics_ May 2012

    15/16

    Posted by Roy at 12:30 AM 2 comments:

    Labels: measurement, statistics

    While we may not determine strict error levels for every measurement we make, it's important

    to have a grasp of these concepts while collecting and interpreting data.

    Why does my IMRT data taken with a planar detector array pass, even though it

    "looks" totally different than the TPS generated data? Probably because the detector

    array has relatively low resolution and the dose shape you see is the result of

    interpolation by software.

    Is my data skewed due to systematic or random errors?

    Is my new outlier subject to regression to the meanor the start of a new trend?

    Are my data groupings producing a Simpson's paradox?

    What are your thoughts?

    27 April 2012

    Posted by Roy at 11:26 PM No comments:

    Labels: medical physics

    What is medical physics?

    ...or this blog has to start somewhere.

    If you are reading this blog, you are likely familiar with medical physics, but for my first officialpost I'm going to talk about what medical physics is.

    Medical physics is a field of applied science and engineering, in which physicsbased techniques

    form the basis of diagnostic and therapeutic medical technologies. The most well known of these

    technologies are xray imaging, CT, MRI, ultrasound, and radiation therapy. Many medical

    physics technologies utilize ionizing radiation. The potential hazard of ionizing radiation is

    arguably the reason why medical physicists exist as clinical personnel, versus solely as

    researchers and developers, as is the case with biomedical engineers.

    While most broadly medical physics is the application of physics techniques across all of

    medicine, the term "medical physics" is generally used to refer to three primary areas: diagnostic

    imaging, nuclear medicine (radionuclide based imaging and therapies), and radiation therapy.

    The majority of clinical medical physicists work in radiation therapy.

    Historically medical physics arose from the application of physics discoveries and technologies to

    medicine, most importantly the xray for imaging starting in 1896. As these technologies were

    more broadly adopted by hospitals, more physicists and knowledgeable personnel were needed in

    clinical settings. Eventually, medical physics specific training emerged and technologies, such as

    medical electron linear accelerators, were developed from the ground up with medicine in mind.

    Today medical physicists work as clinicians, academic researchers, industry experts, and

    educators, or spend their time as any combination of those.

    Further reading:

    Wikipedia entry on Medical Physics

    What do Medical Physicists Do?(AAPM)

    365 Days of Medical Physics blogging

    Welcome to my new blog!I'm intending to make short posts (nearly) every day for the next year

    covering a broad range of medical physics topics.

    The idea behind this blog is largely to help motivate me to consistently push my medical physics

    knowledge, but also to foster discussion online relevant to others learning medical physics.

    I am a medical physicist involved in radiation therapy, so this blog will center on issues related

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    Posted by Roy at 10:56 PM 2 comments:

    Labels: blog, intro

    to clinical radiation therapy physics, but I will also venture into some diagnostic and research

    territory. For topics more closely related to my research on particle therapy and computational

    medical physics, I will probably post on Will Work for Science, the blog I coauthor will Herr Dr.

    Niels Bassler.

    I hope you enjoy the posts. Please comment, tell me how awesome this is, correct me, and/or

    make topic suggestions!

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