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Case Reviews in MRI Nathan Yanasak, PhD Department of Radiology and Imaging Augusta University

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  • CaseReviewsinMRI

    Nathan Yanasak, PhDDepartment of Radiology and ImagingAugusta University

  • Ihavenothingtodisclose.

  • OverarchingThemeHowmightamedicalphysicistsolveproblemsintheMRIworld?

    NathanYanasak

    Fourrealms:• AcuteClinicalCare• ResearchProject• Accreditation/QualityAssurance• ”Fixingrecurrentproblems”intheclinic

    Whatstrategies/cluesdidIusetoidentify/solvetheseproblems?

    “Mywayoflearningistoheaveawildandunpredictablemonkey-wrenchintothemachinery.”

    ―DashiellHammett,TheMalteseFalcon

  • Case#1

    Trackingdownasubtleartifactinaresearchproject

  • ScenarioDate:August2019– February2020

    Settinguparesearchprotocolforagrant• Protocolonournewestscanner.• Imagequalityisnotverygoodonvariousscans,afterrepeatedtries.

    • Settingupaprotocolonanolderscannerasabackup.• Newartifactisdiscoveredonstructuralscansontheolderscanner.

  • RelevantFacts• Keyprotocolelements:DTI(~15min),ASL,“hi-res”T1structuralimage.• Originalplatform:PhilipsIngenia scanner+32-channelheadcoil.• NumerousartifactsonPhilipssystem.Serviceproblemswithgradients.• Settingupolder3TGEHDxT (8-channelheadcoil)asbackupsystem.• Aftermyinitialcheckforquality,datasenttouniversityresearchteamfor

    scrutiny.• UGAQCvs.AUQCmethods:

    “it’snotasgoodasithasbeen”vs.metrics/numbersareinspec.Prosvs.Cons

  • What’sGoingOnHere?

    UGAlooksatimagesusingresearch-specificsoftware(AFNI,SPM,andFSL).

    Interfaceshowsreconstructionfrom3differentorientations(axialacquisition).

    Wehadn’texpectedslice-to-slicedifferences,sothiswasasurprise.

  • Verify

    LoadtheimageintoImageJandverifywithacoronalreformatthatIseethesamething.

    Artifactpresent?Yes– actualartifact

    à NotUGAsoftware/methodologyissue.

  • Howcanslicesbedifferent?Brainstorming…

    Axialacquisitionà S-Islice-selectdirection.Looksveryperiodic…

    Alittletimebymyselftoconsidertheoptions:Whataresomepossiblesources?Acquisitionordering?Slicegap?DifferentwindowandlevelsettingsinDICOMforimageslices?

  • Howcanslicesbedifferent?

    LoadtheimageontoOsirix andverifywithacoronalreformatthatIseethesamething.Stillseetheartifact?

    Yes– likelynotaDICOMissue(window/levelperslice)

    Waitaminute!Thisisa3Dscan,so… noslicegaporacquisitionordereffectspossible.

    Remainingpossiblities:herringboneartifact(spikeink-space)forour3Dscan?whypurelyalongtheS-Idirection?

  • Howcanslicesbedifferent?UGAhastwosamplesfromus,anditoccurredinbothsetsofscans.Differentstrength…sameperiodicity(e.g.,everyXslices?)Periodicitythesame,butfainter.

  • Characterizethesizeandlookatprotocol.Measurethe“periodicity”intheimageusingImageJ:

    Repeatsaboutevery5slices(@1mmslicethk,effectis5mm).Eureka!(andtextingwithJasonStaffordtothinkthisthrough)• 3Dscanisnon-obliqueaxiallyprescribed• pMRI turnedon(image-based…SENSE-like)• pMRI calibrationscanpurelyinaxialorientation…5mmslicethickness.

  • Speed:lessphaseencodes=smallerFOV(withsameresolution)

    13

    aliasing

    SmallerFOV

    a

    ba ”+”b

    ReviewofpMRI andcalibrationscans#1

  • pMRI calibrationscans• Lo-resdata(eitherimagesorraw)thatallowsyouquantifythesensitivityofthecoil,to“unwrap”theundersampled image.

    • Separateacquisitionperpatient.I’1=s1,aIa +s1,bIba

    b

    b

    I’2=s2,aIa +s2,bIb

    a

    Ia

    Ib

    I’2

    I’1

    element1

    element2s2

    s1

  • FollowingUp

    Slice8(T2,TE=80msec)

    ChangecalibrationscanthicknessPhantomtests

    Solution:• Slightobliquityofcalibrationscan• Forcecalibrationslicestobenon-

    multipleofimagingslicethickness.

    Whydidweneverseethisclinically?

    Intersectionofpureaxial3Dscansandcal scansofcertainthickness.

    5mmcalibration

    10mmcalibration

  • Case#2

    “ShouldIbelievewhatIseeinthispatient’shead?”

  • ScenarioJune27-28th 2015

    Quickmeeting(firstthinginAM)inareadingroombasedonaclinicalimage

    • Neuroradiologist callsmyofficetoconsultaboutimagefeature– artifactornot?

    • Patienttohavesurgeryshortlythereafter,soneedtodecidequickly/efficiently.

    • Featureisweird/potentiallydisturbing.

  • RelevantFacts• 41-yroldmalewithParkinson’s,pre-op

    scanbeforeinstallingadeepbrainstimulator.

    • Surgeryscheduledfornextday…but,toinstallaDBSortoextractthispathology?

    • FeatureonlyseenincoronalT2FLAIR.• Doesn’tlooklikeanytypicalartifact– no

    periodicity,ghosting…• NothingobviousinFOV.

    … mygutisalreadytellingmesomething.

  • Frustration&ParallelImagingArtifacts

    pMRI artifactshaveacertainappearance/behaviorforwhichyoumaydevelopagutinstinct…andthenyoustarttoseethemeverywhere.

    Inparticular:• periodicities• well-definedghostsinseeminglyrandomplaces• stuffintheMIDDLEofyourFOV

  • SensitivityMapMismatchArtifacts

    Thin,brightstructuresintheperipheryofsensitivitymap—mismatchbetweensensitivityandanatomy.

    Acceleration=2inthisexample.

    Duplicatespacing=½xFOV

    Acceleration=Nà Duplicatespacing=1/NxFOV

    Yanasak &Kelly,Radiographics,2014

  • SensitivityMapMismatchArtifacts

    Thin,brightstructuresintheperipheryofsensitivitymap—mismatchbetweensensitivityandanatomy.

    Acceleration=2inthisexample.

    Duplicatespacing=½xFOV

    Acceleration=Nà Duplicatespacing=1/NxFOV

    Yanasak &Kelly,Radiographics,2014

  • SensitivityMapMismatchArtifactsYanasak &Kelly,Radiographics,2014

    Thin,brightstructuresintheperipheryofsensitivitymap—mismatchbetweensensitivityandanatomy.

  • 2DAcceleration(3Dscan)andSensitivityMapMismatchArtifacts

    Cerebellarlesion?

    No…sensitivitymapmismatch,projectedinslicedirection(PE#1,accfactor=2),

    90SlicesinseriesSlice#58

  • 2DAcceleration(3Dscan)andSensitivityMapMismatchArtifacts

    Cerebellarlesion?

    No…sensitivitymapmismatch,projectedinslicedirection(PE#1,accfactor=2),

    90SlicesinseriesSlice#58Slice#12

    58-12=46~90/2

  • 2DAcceleration(3Dscan)andSensitivityMapMismatchArtifacts

    Cerebellarlesion?

    No…sensitivitymapmismatch,projectedinslicedirection(PE#1,accfactor=2),

    ...andin-planephase-encodingdirection(PE#2,accfactor=2)

    90SlicesinseriesSlice#58Slice#12

    58-12=46~90/2

  • 2DAcceleration(3Dscan)andSensitivityMapMismatchArtifacts

    Cerebellarlesion?

    No…sensitivitymapmismatch,projectedinslicedirection(PE#1,accfactor=2),

    ...andin-planephase-encodingdirection(PE#2,accfactor=2)

    Don’tgetmyopicaboutartifactorigins…lookawayfromthesource.

    90SlicesinseriesSlice#58Slice#12

    58-12=46~90/2

  • Case#3

    ACRtestingdifficultiesthataresointractable,theyaretrivial.

  • ScenarioJuly2012Acceptancetestingofbrandnewmagnet• AfewkeyACRtestskeepfailingrepeatedly(multipletrials,multipledays).

    • Philips3TIngenia +15-channelneurovascularheadcoil.• ACRphantom:associatedwithanold1.5TSiemensthatwedecommissioned

    (sameMRIsuite).• Lowcontrastdetectability– failingonslice9(asIrecall)

    à (onmany3Tsystems,all40spokesvisible)• Uniformity– failingjustbarely,severaltimes.• Finallypassedafterusingspecificimagecorrectionroutine(PIU=83.6%>82%)

    RelevantFacts

  • VerifyScanthephantommultipletimes.Sameproblem?

    Yes– nosingle-scananomaly(although…whatifitpasses2ndtime?)

    Repositionandrescan.Sameproblem?Yes– somethingfundamentallywrong(nopositioningissues).

  • CompareSpeakwithphysicistatMissionhospitalsinAsheville,NC(newIngenia).“How’syourACRperformance?”

    Capableofpassinglowcontrastdetectability?Yes (~39spokes…notprettyforanew

    3T,butsobeit)– problemwithourmagnet?

    WhatelsecanwedotodeterminewhetheritisOURmachine/institutionvs.asystematicPhilipsissue?

    Slice8(T2,TE=80msec)

  • TrySomethingDifferent(HailMary)Aftertwodaysofscanning,wetriedourACRphantomfortheGE3Tdownstairs.

    Didwereproducefailure?NO!40spokesvisible

    Repeatscans…success?YES!!!à Phantomperformanceissues?

    Slice8(T2,TE=80msec)

    Morefacts:ACRphantomfor1.5TSiemens:purchased2001ACRphantomfor3TGE:purchased2003-4Solution:Weboughtanewphantom(Philips)in2012

    Slice8(T2,TE=80msec)Slice8(T2,TE=80msec)

  • FollowingUp

    Slice8(T2,TE=80msec)

    Ihaveheardabout“potatochip”-ing ofLCDinserts(seeslidefromDonnaReeve).

    Couldsomethingsimilarbehappeningforus?

  • Test#1:Scannedtheoldphantomandthenewer(GE)phantomashi-ressagittal.Reformatasaxial.Overlayimages(inMatlab):older(Siemens)ACRphtm (red),newer(GE)ACRphtm (blue)– colormismatch=offset.Findoffsetof>2mmbetweendisksandwedge/phantomhousing.

    FollowingUp

    Discaligned Wedge/Phtm aligned

    Othercomments:Grid/wedgealittlemisaligned,variousstructuresonslc 1alignedwithwedge.

  • Alsoscannedtheold(Siemens)phantomandournewest(Philips)phantomw/ACRprotocolusinga32-channelheadcoil.

    FollowingUp

    Bothpass(muchhigherSNRcoil)…

    And,stillseeoffset~2mm indiskhousing.

    Slice8(T2,TE=80msec)

  • Case#4

    Usingmedicalphysics“intangibles”tomaintainclinicalpractice

  • ScenarioCirca2011-2

    LiverIronQuantificationforSickle-CellPatientisinError• Beganapartnershipwithoursickle-cellclinic,scanningpatientswhomight

    benefitfromchelationtherapy(Feoverload).

    • Westartedperformingtheexams~2011;concurrently,akeyservicecontractwaseliminated(hadsoftwaresince2003-ish).

    • Afewyearslater,theFequantificationsoftwarestoppedperformingasexpected.

  • RelevantFacts• GEworkstationwithReportCard software(forFequantification).

  • RelevantFacts• GEworkstationwithReportCard software(forFequantification).

    TIME(TE)

    INTENSITY

    I j (ti ) = Aje−ti /T 2

    *j +Cj

  • RelevantFacts• GEworkstationwithReportCard software(forFequantification).• Discoveryofabug– clearlyapoorfittothedata.• Institutionalcontractswithanothervendorà nonewsupportforworkstation

    (I.e.,nonewreleasesforus)

    FitreportedasT2*=7.5±1.0msec

    Problem:longerT2*=lessFe=healthier.

  • Problem:• FDAclearedsoftware(methodtested),butfittingalgorithmitselfisfailing.

    Solution:• Writesomesoftwarethatdoesexactlythesamething(methodology)buthasa

    morerobustfitter(andbaselineasymptoticintensity=fluid).

    Validation:• Validateaccordingtoseveralpreviouscaseswithgoodfits.• Samefitvaluesof[Fe]?

    Yes!!

    RestatementofProblem

  • Problem:• FDAclearedsoftware(methodtested),butfittingalgorithmitselfisfailing.

    Solution:• Writesomesoftwarethatdoesexactlythesamething(methodology)buthasamorerobust

    fitter(andbaselineasymptoticintensity=fluid).

    Validation:• Validateaccordingtoseveralpreviouscaseswithgoodfits.• Samefitvaluesof[Fe]?

    Yes!!

    T2*=2.6msec vs.7.5msec – bigclinicaldifference.

    RestatementofProblem

  • WhatHaveWeLearned?42

    • Brainstormissues,thencomeupwitha(informal)decisiontreetodiagnoseyourproblem.

    (e.g.,canyouseparatesoftwarefromscanner/user/phantomissues?)• Beingabletorunseriesofscanswithslightdifferencesishelpfulfroma

    validationstandpoint.• HavingahandfulofquickanddirtytoolslikeImageJcanhelp(programming

    canbeveryuseful).Tryandmeasure/overlaystuff– messaround.• DON’TGIVEUPPREMATURELYWITHA½-ANSWERINHAND.• pMRI canintroducemanysubtleartifacts.Learntheircharacteristics/quirks.• Donotdiscountthe“impossible”(e.g.,ACRphantomissues).

  • Questions?