Literature DB >> 20152722

Three-region MRI-based whole-body attenuation correction for automated PET reconstruction.

Jeffrey Steinberg1, Guang Jia, Steffen Sammet, Jun Zhang, Nathan Hall, Michael V Knopp.   

Abstract

INTRODUCTION: In this study we proposed and developed a simple attenuation mapping approach based on magnetic resonance imaging (MRI) for the purpose of reconstructing positron emission tomography (PET) images in PET/MRI imaging devices.
METHODS: After experimental development, an in vivo calibration was performed by whole-body scanning of five beagles on both a PET/CT and an MRI. The attenuation was determined by using an automated segmentation algorithm to segment regions of background, lung, soft tissue and bone, and assigning them values of 0.002, 0.030, 0.098 and 0.130 cm(-1), respectively.
RESULTS: The CT-attenuated and MRI-attenuated PET images had average standardized uptake values (SUVs) that differed by 1-6% for most regions of interest (ROIs). Also, mean relative differences (MRDs) between the images were between 5% and 9% for most regions. The only exception is bone, where the three-region MRI-attenuated PET images had an SUV 10% less on average than the CT-attenuation images, and the MRD averaged 14%. Also, additional segmentation of the bone in the four-region MRI-attenuated PET images reduced the SUV difference to 3% and the MRD to 6%.
CONCLUSION: Therefore, despite the improvements in the four-region segmentation, the three-region segmentation, without delineation of osseous tissues, produces high-quality images that are sufficient for most expected clinical and research purposes. (c) 2010 Elsevier Inc. All rights reserved.

Mesh:

Year:  2009        PMID: 20152722     DOI: 10.1016/j.nucmedbio.2009.11.002

Source DB:  PubMed          Journal:  Nucl Med Biol        ISSN: 0969-8051            Impact factor:   2.408


  13 in total

1.  Quantitative simultaneous positron emission tomography and magnetic resonance imaging.

Authors:  Jinsong Ouyang; Yoann Petibon; Chuan Huang; Timothy G Reese; Aleksandra L Kolnick; Georges El Fakhri
Journal:  J Med Imaging (Bellingham)       Date:  2014-11-03

Review 2.  Challenges and current methods for attenuation correction in PET/MR.

Authors:  Vincent Keereman; Pieter Mollet; Yannick Berker; Volkmar Schulz; Stefaan Vandenberghe
Journal:  MAGMA       Date:  2012-08-09       Impact factor: 2.310

3.  Pseudo CT Estimation from MRI Using Patch-based Random Forest.

Authors:  Xiaofeng Yang; Yang Lei; Hui-Kuo Shu; Peter Rossi; Hui Mao; Hyunsuk Shim; Walter J Curran; Tian Liu
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-02

4.  Preclinical evaluation of MR attenuation correction versus CT attenuation correction on a sequential whole-body MR/PET scanner.

Authors:  Jason Bini; David Izquierdo-Garcia; Jesus Mateo; Josef Machac; Jagat Narula; Valentin Fuster; Zahi A Fayad
Journal:  Invest Radiol       Date:  2013-05       Impact factor: 6.016

5.  Value of a Dixon-based MR/PET attenuation correction sequence for the localization and evaluation of PET-positive lesions.

Authors:  Matthias Eiber; Axel Martinez-Möller; Michael Souvatzoglou; Konstantin Holzapfel; Anja Pickhard; Dennys Löffelbein; Ivan Santi; Ernst J Rummeny; Sibylle Ziegler; Markus Schwaiger; Stephan G Nekolla; Ambros J Beer
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-06-18       Impact factor: 9.236

6.  State of the Art in Cardiac Hybrid Technology: PET/MR.

Authors:  Carmela Nappi; Georges El Fakhri
Journal:  Curr Cardiovasc Imaging Rep       Date:  2013-08-01

7.  Improvement of attenuation correction in time-of-flight PET/MR imaging with a positron-emitting source.

Authors:  Pieter Mollet; Vincent Keereman; Jason Bini; David Izquierdo-Garcia; Zahi A Fayad; Stefaan Vandenberghe
Journal:  J Nucl Med       Date:  2014-01-16       Impact factor: 10.057

Review 8.  MR Imaging-Guided Attenuation Correction of PET Data in PET/MR Imaging.

Authors:  David Izquierdo-Garcia; Ciprian Catana
Journal:  PET Clin       Date:  2016-01-26

9.  Bias atlases for segmentation-based PET attenuation correction using PET-CT and MR.

Authors:  Jinsong Ouyang; Se Young Chun; Yoann Petibon; Ali A Bonab; Nathaniel Alpert; Georges El Fakhri
Journal:  IEEE Trans Nucl Sci       Date:  2013-10-01       Impact factor: 1.679

10.  Continuous MR bone density measurement using water- and fat-suppressed projection imaging (WASPI) for PET attenuation correction in PET-MR.

Authors:  C Huang; J Ouyang; T G Reese; Y Wu; G El Fakhri; J L Ackerman
Journal:  Phys Med Biol       Date:  2015-09-25       Impact factor: 3.609

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