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Title: SU-F-I-58: Image Quality Comparisons of Different Motion Magnitudes and TR Values in MR-PET

Abstract

Purpose: The aim of this work is to evaluate the accuracy and sensitivity of a respiratory-triggered MR-PET protocol in detecting four different sized lesions at two different magnitudes of motion, with two different TR values, using a novel PET-MR-CT compatible respiratory motion phantom. Methods: The eight-compartment torso phantom was setup adjacent to the motion stage, which moved four spherical compartments (28, 22, 17, 10 mm diameter) in two separate (1 and 2 cm) linear motion profiles, simulating a 3.5 second respiratory cycle. Scans were acquired on a 3T MR-PET system (Biograph mMR; Siemens Medical Solutions, Germany). MR measurements were taken with: 1) Respiratory-triggered T2-weighted turbo spin echo (BLADE) sequence in coronal orientation, and 2) Real-time balanced steady-state gradient echo sequence (TrueFISP) in coronal and sagittal planes. PET was acquired simultaneously with MR. Sphere geometries and motion profiles were measured and compared with ground truths for T2 BLADE-TSE acquisitions and real time TrueFISP images. PET quantification and geometry measurements were taken using standardized uptake values, voxel intensity plots and were compared with known values, and examined alongside MR-based attenuation maps. Contrast and signal-to-noise ratios were also compared for each of the acquisitions as functions of motion range and TR. Results: Comparisonmore » of lesion diameters indicate the respiratory triggered T2 BLADE-TSE was able to maintain geometry within −2 mm for 1 cm motion for both TR values, and within −3.1 mm for TR = 2000 ms at 2 cm motion. Sphere measurements in respiratory triggered PET images were accurate within +/− 5 mm for both ranges of motion for 28, 22, and 17 mm diameter spheres. Conclusion: Hybrid MR-PET systems show promise in imaging lung cancer in non-compliant patients, with their ability to acquire both modalities simultaneously. However, MR-based attenuation maps are still susceptible to motion derived artifacts and pose the potential to affect PET accuracy.« less

Authors:
;  [1]; ;  [2];  [3];  [4]
  1. Lawson Health Research Institute, London, Ontario (Canada)
  2. Robarts Research Institute, London, Canada, London, Ontario (Canada)
  3. Western University, Canada, London, Ontario (Canada)
  4. London Regional Cancer Program, London, Ontario (Canada)
Publication Date:
OSTI Identifier:
22632123
Resource Type:
Journal Article
Resource Relation:
Journal Name: Medical Physics; Journal Volume: 43; Journal Issue: 6; Other Information: (c) 2016 American Association of Physicists in Medicine; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; 61 RADIATION PROTECTION AND DOSIMETRY; ACCURACY; ATTENUATION; BIOMEDICAL RADIOGRAPHY; IMAGES; LUNGS; NEOPLASMS; PHANTOMS; SIGNAL-TO-NOISE RATIO; SPIN ECHO; STEADY-STATE CONDITIONS

Citation Formats

Patrick, J, Thompson, R, Tavallaei, M, Drangova, M, Stodilka, R, and Gaede, S. SU-F-I-58: Image Quality Comparisons of Different Motion Magnitudes and TR Values in MR-PET. United States: N. p., 2016. Web. doi:10.1118/1.4955886.
Patrick, J, Thompson, R, Tavallaei, M, Drangova, M, Stodilka, R, & Gaede, S. SU-F-I-58: Image Quality Comparisons of Different Motion Magnitudes and TR Values in MR-PET. United States. doi:10.1118/1.4955886.
Patrick, J, Thompson, R, Tavallaei, M, Drangova, M, Stodilka, R, and Gaede, S. Wed . "SU-F-I-58: Image Quality Comparisons of Different Motion Magnitudes and TR Values in MR-PET". United States. doi:10.1118/1.4955886.
@article{osti_22632123,
title = {SU-F-I-58: Image Quality Comparisons of Different Motion Magnitudes and TR Values in MR-PET},
author = {Patrick, J and Thompson, R and Tavallaei, M and Drangova, M and Stodilka, R and Gaede, S},
abstractNote = {Purpose: The aim of this work is to evaluate the accuracy and sensitivity of a respiratory-triggered MR-PET protocol in detecting four different sized lesions at two different magnitudes of motion, with two different TR values, using a novel PET-MR-CT compatible respiratory motion phantom. Methods: The eight-compartment torso phantom was setup adjacent to the motion stage, which moved four spherical compartments (28, 22, 17, 10 mm diameter) in two separate (1 and 2 cm) linear motion profiles, simulating a 3.5 second respiratory cycle. Scans were acquired on a 3T MR-PET system (Biograph mMR; Siemens Medical Solutions, Germany). MR measurements were taken with: 1) Respiratory-triggered T2-weighted turbo spin echo (BLADE) sequence in coronal orientation, and 2) Real-time balanced steady-state gradient echo sequence (TrueFISP) in coronal and sagittal planes. PET was acquired simultaneously with MR. Sphere geometries and motion profiles were measured and compared with ground truths for T2 BLADE-TSE acquisitions and real time TrueFISP images. PET quantification and geometry measurements were taken using standardized uptake values, voxel intensity plots and were compared with known values, and examined alongside MR-based attenuation maps. Contrast and signal-to-noise ratios were also compared for each of the acquisitions as functions of motion range and TR. Results: Comparison of lesion diameters indicate the respiratory triggered T2 BLADE-TSE was able to maintain geometry within −2 mm for 1 cm motion for both TR values, and within −3.1 mm for TR = 2000 ms at 2 cm motion. Sphere measurements in respiratory triggered PET images were accurate within +/− 5 mm for both ranges of motion for 28, 22, and 17 mm diameter spheres. Conclusion: Hybrid MR-PET systems show promise in imaging lung cancer in non-compliant patients, with their ability to acquire both modalities simultaneously. However, MR-based attenuation maps are still susceptible to motion derived artifacts and pose the potential to affect PET accuracy.},
doi = {10.1118/1.4955886},
journal = {Medical Physics},
number = 6,
volume = 43,
place = {United States},
year = {Wed Jun 15 00:00:00 EDT 2016},
month = {Wed Jun 15 00:00:00 EDT 2016}
}