Influence of MRI artifacts on PET image reconstruction using MRI-based priors

被引：0

作者：

Caldeira, L. ^{[1
]}

Scheins, J. ^{[1
]}

Almeida, P. ^{[2
]}

Herzog, H. ^{[1
]}

机构：

[1] Forschungszentrum Julich, Inst Neurosci & Med, D-52425 Julich, Germany

[2] Univ Lisbon, Fac Sci, Inst Biomed Engn & Biophys, P-1699 Lisbon, Portugal

来源：

2013 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC) | 2013年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

MRI information can be used to improve PET images by using Maximum A Posteriori (MAP) reconstruction algorithms. The aim of this study is to assess the influence of MRI image quality using two different methods to incorporate MRI information: boundaries and Bowsher. MRI data are simulated with different artifacts: noise and intensity inhomogeneity (IIH). PET data are also simulated to assess the performance of reconstruction. MAP algorithms using MRI information improve PET image quality, but the MRI image quality clearly influences this improvement. Both methods are robust to noise and IIH, if the artifact levels are acceptable. The Bowsher method achieves better figures of merit, but it is more sensitive to noise and IIH.

引用

页数：5

共 50 条

[1] Weighted MRI-Based Bowsher Priors for SPECT Brain Image Reconstruction
Bousse, A.
Pedemonte, S.
Kazantsev, D.
Ourselin, S.
Arridge, S.
Hutton, B. F.
2010 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD (NSS/MIC), 2010, : 3519 - 3522
[2] Evaluation of different MRI-based anatomical priors for PET brain imaging
Atre, Ameya
Vunckx, Kathleen
Baete, Kristof
Reilhac, Anthonin
Nuyts, Johan
2009 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD, VOLS 1-5, 2009, : 2774 - +
[3] Attenuation Correction for PET/MRI Using MRI-based Pseudo CT
Wang, Tonghe
Lei, Yang
Dong, Xue
Higgins, Kristin
Liu, Tian
Curran, Walter J.
Mao, Hui
Nye, Jonathon A.
Yang, Xiaofeng
MEDICAL IMAGING 2020: PHYSICS OF MEDICAL IMAGING, 2020, 11312
[4] Evaluation of Three MRI-Based Anatomical Priors for Quantitative PET Brain Imaging
Vunckx, Kathleen
Atre, Ameya
Baete, Kristof
Reilhac, Anthonin
Deroose, Christophe M.
Van Laere, Koen
Nuyts, Johan
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2012, 31 (03) : 599 - 612
[5] Extended MRI-based PET motion correction for cardiac PET/MRI
Aizaz, Mueez
van der Pol, Jochem A. J.
Schneider, Alina
Munoz, Camila
Holtackers, Robert J.
van Cauteren, Yvonne
van Langen, Herman
Meeder, Joan G.
Rahel, Braim M.
Wierts, Roel
Botnar, Rene M.
Prieto, Claudia
Moonen, Rik P. M.
Kooi, M. Eline
EJNMMI PHYSICS, 2024, 11 (01)
[6] Extended MRI-based PET motion correction for cardiac PET/MRI
Mueez Aizaz
Jochem A. J. van der Pol
Alina Schneider
Camila Munoz
Robert J. Holtackers
Yvonne van Cauteren
Herman van Langen
Joan G. Meeder
Braim M. Rahel
Roel Wierts
René M. Botnar
Claudia Prieto
Rik P. M. Moonen
M. Eline Kooi
EJNMMI Physics, 11
[7] Federated Learning of Generative Image Priors for MRI Reconstruction
Elmas, Gokberk
Dar, Salman U. H.
Korkmaz, Yilmaz
Ceyani, Emir
Susam, Burak
Ozbey, Muzaffer
Avestimehr, Salman
Cukur, Tolga
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023, 42 (07) : 1996 - 2009
[8] MRI-Based Nonrigid Motion Correction in Simultaneous PET/MRI
Chun, Se Young
Reese, Timothy G.
Ouyang, Jinsong
Guerin, Bastien
Catana, Ciprian
Zhu, Xuping
Alpert, Nathaniel M.
El Fakhri, Georges
JOURNAL OF NUCLEAR MEDICINE, 2012, 53 (08) : 1284 - 1291
[9] Impact of MRI-based Segmentation Artifacts on Amyloid- and FDG-PET Quantitation
Hoegenauer, Marcus
Brendel, Matthias
Delker, Andreas
Daerr, Sonja
Weiss, Mayo
Bartenstein, Peter
Rominger, Axel
CURRENT ALZHEIMER RESEARCH, 2016, 13 (05) : 597 - 607
[10] MRI-Based Attenuation Correction for PET/MRI Using Ultrashort Echo Time Sequences
Keereman, Vincent
Fierens, Yves
Broux, Tom
De Deene, Yves
Lonneux, Max
Vandenberghe, Stefaan
JOURNAL OF NUCLEAR MEDICINE, 2010, 51 (05) : 812 - 818

← 1 2 3 4 5 →