optimisation strategies ali b alhailiy [email protected]

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Optimisation Optimisation Strategies Strategies Ali B alhailiy Ali B alhailiy [email protected]

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Page 1: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

Optimisation Strategies Optimisation Strategies

Ali B alhailiyAli B [email protected]

Page 2: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

What is Meant by OptimisationWhat is Meant by Optimisation♥ Optimisation in digital imaging means appropriate

strategies/procedures are in place in the imaging practice to♥ maximise factors that improve production efficiency and quality and to

minimise factors that cause patient detriment♥ use technical measures so that images of diagnostic quality are

obtained at a patient dose as low as reasonably achievable, economic and social factors being taken into account (ALARA, ICRP 103).

♥ Optimisation involves team work, an input from radiologists, medical physicists, radiographers, PACS managers, application specialists and service engineers; training is essential.

Page 3: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

Digital Imaging ProcessDigital Imaging Process

In digital imaging ♥ image acquisition♥ image processing♥ image transmission♥ image display♥ image storage

are separated, each can be optimized separately

Page 4: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

CR/DR OPTIMISATION CR/DR OPTIMISATION STRATEGIESSTRATEGIES

Page 5: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

Step 1 - Step 1 - The justification of a practice

• The decision to adopt or continue any human activity involves a review of benefits and disadvantages of the possible options, e.g., choosing between the use of X Rays or ultrasound

• Most of the assessments needed for the justification of a practice are made on the basis of experience, professional judgement, and common sense

Page 7: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

Step 3- Exposure factorsStep 3- Exposure factorsand image appearanceand image appearance

kV and mA do not have the same affect on the image quality as in film screen

kVkV: While kV controls the penetrating power and therefore subject contrast, changes in kV have less of a direct effect on final image contrast as the image processing and adjustment of display window width controls the majority of the contrast seen.

Higher kVp values reduce entrance skin exposure (ESE)

Page 8: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

Exposure factorsExposure factorsand image appearance (Cont’d)and image appearance (Cont’d)

mAsmAs: mAs controls the number of x-rays forming the image and therefore image noise; digital processing (brightness control/noise reduction algorithms) allows for correction of inaccurate mAs selection.

Page 9: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

Step 4: Understanding Step 4: Understanding Exposure Index or DDIExposure Index or DDI

Exposure index or DDI is manufacturer specific.

♥ It reflects the radiation exposure incident on the image receptor, and how much amplification was needed to produce the image.

Page 10: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

Step 5 - Correct PositioningStep 5 - Correct Positioning

♥ Positioning errors have been identified in several studies as the number one reason for having to repeat digital radiography examinations.

♥ Correct positioning is also vital for exposure data recognition in CR and DR

♥ In case of CR when laser scans it is looking for area of the plate that has exposure

♥ Works best when image is centred.

Page 11: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

Step 6 - CollimationStep 6 - Collimation♥ Convenience of taking digital images leads to

covering a larger area of a patient's body and using digital cropping (post processing)

♥ Poor collimation♥ Large part of the body is irradiated♥ Not seen on digitally cropped

imageIAEA L04: Radiation Protection in digital radiography

Page 12: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

Collimation (Cont’d)Collimation (Cont’d)

♥ Good collimation reduces scatter and improves image quality (same as in screen film)

♥ It reduces unnecessary dose to the patient♥ During the exposure data recognition stage, the

region of exposure i.e. collimation edges are detected; with bad collimation extraneous data is included in the histogram, this can skew the image analysis (more greys and less detail)

Page 13: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

Step 7Step 7Correct Selection of ChambersCorrect Selection of Chambers

♥ When using AEC, ensure that the anatomy of interest covers the correct AEC chamber(s) and the system selects correct chamber.

♥ In two different surveys of chest radiography it was noted that incorrect selection of chamber increased patient dose by ~ 3 to 4

times for chest PA scan.

Page 14: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

Step 8Step 8Correct Technique Charts Correct Technique Charts

♥ During x-ray exams critically review the acquired images, image processing and display conditions. New digital systems/optimisation may require different tube potentials and filtration. When technique factors are stabilised, display appropriate technique chart near the console for manual exposures

♥ AEC helps control total mAs, but the radiographer still is responsible for selecting optimum mA (if set) and kVp for an examination when using AEC, and technique charts help ensure consistent use of these factors.

Page 15: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

Step 9 - Added filtrationStep 9 - Added filtration

♥ Be aware that added filtration can decrease dose to patient without compromising image quality, provided tube output is high enough;

♥ In a research study at Westmead hospital, it was found that additional filtration of 0.1 mm copper + 1 mm Al in chest radiography reduced patient entrance surface dose by ~ 35%. No significant difference was found in perceived image quality of chest images with reduced dose technique including additional filtration of 0.1 mm copper + 1 mm Al. Therefore, the use of added filtration is to be encouraged.

Austras Phys Eng Sci Med 2012 Mar 35(1): 71-80

Page 16: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

Steps to have an optimum Steps to have an optimum Radiological examRadiological exam

Page 17: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

Establish a QA ProgramEstablish a QA Program

Quality assurance is a management tool that includes policies and procedures designed to optimize and continuously improve the performance of personnel and quality of a product or serviceQuality assurance program in an imaging practice may include

♥ Administrative procedures for continuous improvement in patient care/patient scheduling/timeliness of reports

♥ Department policies to manage radiation protection issues♥ Equipment quality control and optimization for technical

effectiveness, efficiency and compliance♥ In-service education for continuous improvement in staff

performance♥ Auditing – analyzing records of operation and reviewing the

QA program

Page 18: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

Benefits of a QA ProgramBenefits of a QA Program

Diagnostic imaging is a multi-step process. There are various sources of variability in both human factors and equipment factors that can produce sub-quality images/incorrect diagnosis/increased patient dose if not properly controlled. Quality assurance program can result in

♥ Improved image quality♥ Patient and staff care by optimizing dose and

therefore reducing risk associated with radiation

♥ Reduced re-take ♥ Increased patient satisfaction/professionalism

Page 19: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

• The technologist verifies:

• – the patient is the person identified in the exam request

• – the anatomy to be examined matches the exam

• request

• – other information about the patient, such as

• • Pregnancy

• • Restricted motion

• • Allergies

• • Appliances

• • QC accomplished by training or checklist

Step1- patient report for an examination

Page 20: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

Step 2 – radiographer identifies the patient and exam to imaging system

Usually occurs before, butsometimes after the exam isperformed• Misidentification hasconsequences– incorrect information can cause imageunavailability– incorrect exam info can affect imagedevelopment– mis-association complicates errordetection– proliferation of digital imagescomplicates correction

Page 21: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

The best image ,improperly identified, is useless

• Wrong patent name .ID

Page 22: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

Step3- radiographer positions the patient and performs the exam

Potential errors– mispositioning– patient motion– incorrect radiographic technique selection– poor inspiration– improper collimation– incorrect alignment of x-ray beam and grid– wrong exam performed– double exposure• QC accomplished at acquisition station?– Image processing inadequate to correct– Correction requires repeated exam (s)80

Page 23: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

Step 4:Image receptor captures the radiographic projection

• Potential errors• – Inadequate erasure, lag, ghosting• – Improper compensation for non-uniform gain• – Incorrect gain adjustment• – Incorrect exposure factor selection• – artefacts• • Interference with the projected beam• • Receptor defects• • Interference with converting the captured projection into a digital• image

Page 24: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

Step5- image receptor renders the captured projection for viewing

• Potential errors• – Incorrect Exposure Field recognition; incorrect• determination of values of interest (VOI)• – Incorrect histogram re-scaling• – Incorrect gray-scale rendition• – Incorrect edge restoration• – Inappropriate noise reduction• – Incorrect reorientation• • QC possible at acquisition station?• – Correction usually possible without repeated exam

Page 25: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

• Potential errors– Transmission failure– Image deletion– Information omittedfrom transmitted image• Exposure indicator• Processing parameters• Shutters• Annotations

Page 26: Optimisation Strategies Ali B alhailiy aalh9018@uni.sydney.edu.au

ThaThank nk youyou