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PART 2: QIN PET Phantom Segmentation Challenge

Instructions

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Goals for Part 2• Perform segmentations and analysis on the

UI and UW PET phantom volumes– Volumes and activities are known– Two repeat segmentations/measurements for all

data sets!

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Iowa PET phantom data from Dr. Sunderland:

- NEMA IEC Body Phantom Set™Model PET/IEC-BODY/P with unknown sized spheres & ellipses.

- Downloadable from website.

Part 2: PET Phantom Image Data

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Four Image Sets per SiteHIGH Statistics (HS) 30 minute Scan with HIGH Contrast (HC) [9.77:1]

HIGH Statistics (HS) 30 minute Scan with LOW Contrast (LC) [4.88:1]

10 x LOW Statistics (LS) 3 minute Scan with HIGH Contrast (HC) [9.77:1]

10 x LOW Statistics (LS) 3 minute Scan with LOW Contrast (LC) [4.88:1]

Iowa PET Phantom Data

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105M ./UI9.6M ./UI/HS4.8M ./UI/HS/LC4.8M ./UI/HS/HC96M ./UI/LS48M ./UI/LS/LC4.8M ./UI/LS/LC/Frame01_LC4.8M ./UI/LS/LC/Frame02_LC4.8M ./UI/LS/LC/Frame03_LC4.8M ./UI/LS/LC/Frame04_LC4.8M ./UI/LS/LC/Frame05_LC4.8M ./UI/LS/LC/Frame06_LC4.8M ./UI/LS/LC/Frame07_LC4.8M ./UI/LS/LC/Frame08_LC4.8M ./UI/LS/LC/Frame09_LC4.8M ./UI/LS/LC/Frame10_LC48M ./UI/LS/HC4.8M ./UI/LS/HC/Frame01_HC4.8M ./UI/LS/HC/Frame02_HC4.8M ./UI/LS/HC/Frame03_HC4.8M ./UI/LS/HC/Frame04_HC4.8M ./UI/LS/HC/Frame05_HC4.8M ./UI/LS/HC/Frame06_HC4.8M ./UI/LS/HC/Frame07_HC4.8M ./UI/LS/HC/Frame08_HC4.8M ./UI/LS/HC/Frame09_HC4.8M ./UI/LS/HC/Frame10_HC

138M ./UW13M ./UW/HS6.3M ./UW/HS/LC6.3M ./UW/HS/HC125M ./UW/LS63M ./UW/LS/LC6.3M ./UW/LS/LC/REBIN_A_4I28S3MM_4066.3M ./UW/LS/LC/REBIN_B_4I28S3MM_4076.3M ./UW/LS/LC/REBIN_C_4I28S3MM_4086.3M ./UW/LS/LC/REBIN_D_4I28S3MM_4096.3M ./UW/LS/LC/REBIN_E_4I28S3MM_4106.3M ./UW/LS/LC/REBIN_F_4I28S3MM_4116.3M ./UW/LS/LC/REBIN_G_4I28S3MM_4126.3M ./UW/LS/LC/REBIN_H_4I28S3MM_4136.3M ./UW/LS/LC/REBIN_I_4I28S3MM_4146.3M ./UW/LS/LC/REBIN_J_4I28S3MM_41563M ./UW/LS/HC6.3M ./UW/LS/HC/REBIN_A_4I28S3MM_4066.3M ./UW/LS/HC/REBIN_B_4I28S3MM_4106.3M ./UW/LS/HC/REBIN_C_4I28S3MM_4126.3M ./UW/LS/HC/REBIN_D_4I28S3MM_4156.3M ./UW/LS/HC/REBIN_E_4I28S3MM_4186.3M ./UW/LS/HC/REBIN_F_4I28S3MM_4216.3M ./UW/LS/HC/REBIN_G_4I28S3MM_4246.3M ./UW/LS/HC/REBIN_H_4I28S3MM_4276.3M ./UW/LS/HC/REBIN_I_4I28S3MM_4306.3M ./UW/LS/HC/REBIN_J_4I28S3MM_433

PET Iowa (Siemens Scanner) PET Washington (GE Scanner) Scan TypeSite/Scanner

Directory Structure and File Names

high statistics, low contrasthigh statistics, high contrast

10 x low statistics, low contrast

10 x low statistics, high contrast

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3D Slicer View of Image Data

Object Naming Convention

7Axial PET slice Volume Rendering

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23

4

5 6

1

23

4

5 6

clock wise

start

flat part of phantom

• For the reporting of measurement results, etc. participants must adhere to the following naming convention!

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• Perform the following analysis steps for objects 1 to 6:

a) Generate accurate volumetric segmentations of the objects in the phantom scans• Segment the VOIs in such a way as to identify the actual

boundaries label VOIs (e.g., VOI1, VOI2, ...)

b) Calculate the following indices for each of the objects: • VOI volume in [ml]• MAXIMUM Concentration in [Bq/mL]• PEAK Concentration (PERCIST; 1 cm sphere???) in [Bq/mL] • AVERAGE Concentration in [Bq/mL]• Metabolic Tumor Volume (Average Concentration * VOI

Volume) in [Bq]

PET Phantom Data