Impact of Tissue Classification in MRI-Guided Attenuation Correction on Whole-Body Patlak PET/MRI-Reference-Cited by-同舟云学术

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Impact of Tissue Classification in MRI-Guided Attenuation Correction on Whole-Body Patlak PET/MRI

Published:2019-03-05 Issue:6 Volume:21 Page:1147-1156
ISSN:1536-1632
Container-title:Molecular Imaging and Biology
language:en
Short-container-title:Mol Imaging Biol

Author:

Zhuang Mingzan,Karakatsanis Nicolas A.,Dierckx Rudi A. J. O.,Zaidi Habib^ORCID

Funder

Schweizerischer Nationalfonds zur F?rderung der Wissenschaftlichen Forschung

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology

Link

http://link.springer.com/content/pdf/10.1007/s11307-019-01338-1.pdf

Reference39 articles.

1. Zaidi H, Becker M (2016) The promise of hybrid PET/MRI: technical advances and clinical applications. IEEE Sign Proc Mag 33:67–85

2. Cho N, Im SA, Cheon GJ, Park IA, Lee KH, Kim TY, Kim YS, Kwon BR, Lee JM, Suh HY, Suh KJ (2018) Integrated 18F-FDG PET/MRI in breast cancer: early prediction of response to neoadjuvant chemotherapy. Eur J Nucl Med Mol Imaging 45:328–339

3. Plecha DM, Faulhaber P (2017) PET/MRI of the breast. Eur J Radiol 94:A26–A34

4. Xin J, Ma Q, Guo Q, Sun H, Zhang S, Liu C, Zhai W (2016) PET/MRI with diagnostic MR sequences vs PET/CT in the detection of abdominal and pelvic cancer. Eur J Radiol 85:751–759

5. Lee DH, Lee JM, Hur BY, Joo I, Yi NJ, Suh KS, Kang KW, Han JK (2016) Colorectal cancer liver metastases: diagnostic performance and prognostic value of PET/MR imaging. Radiology 280:782–792

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