PART 2: QIN PET Phantom Segmentation Challenge Instructions 1.

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Transcript van de presentatie:

PART 2: QIN PET Phantom Segmentation Challenge Instructions 1

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! 2

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 3

Four Image Sets per Site HIGH 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 4

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 5 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_ M./UW/LS/LC/REBIN_B_4I28S3MM_ M./UW/LS/LC/REBIN_C_4I28S3MM_ M./UW/LS/LC/REBIN_D_4I28S3MM_ M./UW/LS/LC/REBIN_E_4I28S3MM_ M./UW/LS/LC/REBIN_F_4I28S3MM_ M./UW/LS/LC/REBIN_G_4I28S3MM_ M./UW/LS/LC/REBIN_H_4I28S3MM_ M./UW/LS/LC/REBIN_I_4I28S3MM_ M./UW/LS/LC/REBIN_J_4I28S3MM_415 63M./UW/LS/HC 6.3M./UW/LS/HC/REBIN_A_4I28S3MM_ M./UW/LS/HC/REBIN_B_4I28S3MM_ M./UW/LS/HC/REBIN_C_4I28S3MM_ M./UW/LS/HC/REBIN_D_4I28S3MM_ M./UW/LS/HC/REBIN_E_4I28S3MM_ M./UW/LS/HC/REBIN_F_4I28S3MM_ M./UW/LS/HC/REBIN_G_4I28S3MM_ M./UW/LS/HC/REBIN_H_4I28S3MM_ M./UW/LS/HC/REBIN_I_4I28S3MM_ M./UW/LS/HC/REBIN_J_4I28S3MM_433 PET Iowa (Siemens Scanner) PET Washington (GE Scanner) Scan Type Site/Scanner Directory Structure and File Names high statistics, low contrast high statistics, high contrast 10 x low statistics, low contrast 10 x low statistics, high contrast

3D Slicer View of Image Data 6

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

Perform the following analysis steps for objects 1 to 6: 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 8