Technical Note: Deep learning based MRAC using rapid ultrashort echo time imaging-Reference-Cited by-同舟云学术

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Technical Note: Deep learning based MRAC using rapid ultrashort echo time imaging

Published:2018-07-05 Issue:8 Volume:45 Page:3697-3704
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Jang Hyungseok¹,Liu Fang²,Zhao Gengyan³,Bradshaw Tyler²,McMillan Alan B.²

Affiliation:

1. Department of Radiology; University of California San Diego; 200 West Arbor Drive San Diego CA 92103-8226 USA

2. Department of Radiology; University of Wisconsin School of Medicine and Public Health; 600 Highland Avenue Madison WI 53705-2275 USA

3. Department of Medical Physics; University of Wisconsin School of Medicine and Public Health; 1111 Highland Avenue Madison WI 53705-2275 USA

Funder

National Institute of Biomedical Imaging and Bioengineering

National Institutes of Health

Publisher

Wiley

Subject

General Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mp.12964/fullpdf

Reference54 articles.

1. MRI-based attenuation correction for PET/MRI: a novel approach combining pattern recognition and atlas registration;Hofmann;J Nucl Med,2008

2. Evaluation of an atlas-based PET head attenuation correction using PET/CT & MR patient data;Wollenweber;IEEE Trans Nucl Sci,2013

3. MR-based attenuation correction for hybrid PET-MR brain imaging systems using deformable image registration;Schreibmann;Med Phys,2010

4. MRI-based attenuation correction for whole-body PET/MRI: quantitative evaluation of segmentation- and atlas-based methods;Hofmann;J Nucl Med,2011

5. Attenuation correction methods suitable for brain imaging with a PET/MRI scanner: a comparison of tissue atlas and template attenuation map approaches;Malone;J Nucl Med,2011

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