Download de presentatie
De presentatie wordt gedownload. Even geduld aub
GepubliceerdNina Boender Laatst gewijzigd meer dan 9 jaar geleden
1
PART 2: QIN PET Phantom Segmentation Challenge Instructions 1
2
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
3
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
4
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
5
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_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 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
6
3D Slicer View of Image Data 6
7
Object Naming Convention 7 Axial PET slice Volume Rendering 1 23 4 5 6 1 23 4 5 6 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!
8
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
Verwante presentaties
© 2024 SlidePlayer.nl Inc.
All rights reserved.