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PART 2: QIN PET Phantom Segmentation Challenge

PART 2: QIN PET Phantom Segmentation Challenge. Instructions. 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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PART 2: QIN PET Phantom Segmentation Challenge

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  1. PART 2: QIN PET Phantom Segmentation Challenge Instructions

  2. Goals for Part 2 • Perform segmentations and analysis on the UIand UW PET phantom volumes • Volumes and activities are known • Two repeat segmentations/measurements for all data sets!

  3. Iowa PET phantom data from Dr. Sunderland: Part 2: PET Phantom Image Data - NEMA IEC Body Phantom Set™ Model PET/IEC-BODY/P with unknown sized spheres & ellipses. - Downloadable from website.

  4. Iowa PET Phantom Data Four Image Sets per Site

  5. Directory Structure and File Names Site/Scanner PET Iowa (Siemens Scanner) Scan Type PET Washington (GE Scanner) 138M ./UW 13M ./UW/HS 6.3M ./UW/HS/LC 6.3M ./UW/HS/HC 125M ./UW/LS 63M ./UW/LS/LC 6.3M ./UW/LS/LC/REBIN_A_4I28S3MM_406 6.3M ./UW/LS/LC/REBIN_B_4I28S3MM_407 6.3M ./UW/LS/LC/REBIN_C_4I28S3MM_408 6.3M ./UW/LS/LC/REBIN_D_4I28S3MM_409 6.3M ./UW/LS/LC/REBIN_E_4I28S3MM_410 6.3M ./UW/LS/LC/REBIN_F_4I28S3MM_411 6.3M ./UW/LS/LC/REBIN_G_4I28S3MM_412 6.3M ./UW/LS/LC/REBIN_H_4I28S3MM_413 6.3M ./UW/LS/LC/REBIN_I_4I28S3MM_414 6.3M ./UW/LS/LC/REBIN_J_4I28S3MM_415 63M ./UW/LS/HC 6.3M ./UW/LS/HC/REBIN_A_4I28S3MM_406 6.3M ./UW/LS/HC/REBIN_B_4I28S3MM_410 6.3M ./UW/LS/HC/REBIN_C_4I28S3MM_412 6.3M ./UW/LS/HC/REBIN_D_4I28S3MM_415 6.3M ./UW/LS/HC/REBIN_E_4I28S3MM_418 6.3M ./UW/LS/HC/REBIN_F_4I28S3MM_421 6.3M ./UW/LS/HC/REBIN_G_4I28S3MM_424 6.3M ./UW/LS/HC/REBIN_H_4I28S3MM_427 6.3M ./UW/LS/HC/REBIN_I_4I28S3MM_430 6.3M ./UW/LS/HC/REBIN_J_4I28S3MM_433 105M ./UI 9.6M ./UI/HS 4.8M ./UI/HS/LC 4.8M ./UI/HS/HC 96M ./UI/LS 48M ./UI/LS/LC 4.8M ./UI/LS/LC/Frame01_LC 4.8M ./UI/LS/LC/Frame02_LC 4.8M ./UI/LS/LC/Frame03_LC 4.8M ./UI/LS/LC/Frame04_LC 4.8M ./UI/LS/LC/Frame05_LC 4.8M ./UI/LS/LC/Frame06_LC 4.8M ./UI/LS/LC/Frame07_LC 4.8M ./UI/LS/LC/Frame08_LC 4.8M ./UI/LS/LC/Frame09_LC 4.8M ./UI/LS/LC/Frame10_LC 48M ./UI/LS/HC 4.8M ./UI/LS/HC/Frame01_HC 4.8M ./UI/LS/HC/Frame02_HC 4.8M ./UI/LS/HC/Frame03_HC 4.8M ./UI/LS/HC/Frame04_HC 4.8M ./UI/LS/HC/Frame05_HC 4.8M ./UI/LS/HC/Frame06_HC 4.8M ./UI/LS/HC/Frame07_HC 4.8M ./UI/LS/HC/Frame08_HC 4.8M ./UI/LS/HC/Frame09_HC 4.8M ./UI/LS/HC/Frame10_HC high statistics, low contrast high statistics, high contrast 10 x low statistics, low contrast 10 x low statistics, high contrast

  6. 3D Slicer View of Image Data

  7. Object Naming Convention • For the reporting of measurement results, etc. participants must adhere to the following naming convention! 6 6 5 5 start 4 4 1 1 2 2 3 3 clock wise flat part of phantom Axial PET slice Volume Rendering

  8. PET Phantom Data • Perform the following analysis steps for objects 1 to 6: • 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, ...) • 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]

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