Automated Measurement of Pancreatic Fat Deposition on Dixon <scp>MRI</scp> Using <scp>nnU‐Net</scp>-Reference-Cited by-同舟云学术

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Automated Measurement of Pancreatic Fat Deposition on Dixon MRI Using nnU‐Net

Published:2022-05-30 Issue:1 Volume:57 Page:296-307
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:Magnetic Resonance Imaging

Author:

Lin Dingyi¹,Wang Ziyan¹,Li Hong²,Zhang Hongxi³,Deng Liping⁴,Ren Hong⁴,Sun Shuiya²,Zheng Fenping²,Zhou Jiaqiang²,Wang Min¹²^ORCID

Affiliation:

1. College of Biomedical Engineering and Instrument Science Zhejiang University Hangzhou Zhejiang China

2. School of Medicine, Sir Run Run Shaw Hospital, Department of Endocrinology Zhejiang University Hangzhou Zhejiang China

3. School of Medicine, Children's Hospital Binjiang Campus, Department of Radiology Zhejiang University Hangzhou Zhejiang China

4. School of Medicine, Sir Run Run Shaw Hospital, Department of Radiology Zhejiang University Hangzhou Zhejiang China

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.28275

Reference39 articles.

1. Noninvasive assessment of abdominal adipose tissues and quantification of hepatic and pancreatic fat fractions in type 2 diabetes mellitus

2. The worldwide epidemiology of type 2 diabetes mellitus—present and future perspectives

3. Ectopic fat and insulin resistance: Pathophysiology and effect of diet and lifestyle interventions. Int;Snel M;J Endocrinol,2012

4. Lipids in the Wrong Place: Visceral Fat and Nonalcoholic Steatohepatitis

5. The role of hepatic lipids in hepatic insulin resistance and type 2 diabetes

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3. Associations of Intrapancreatic Fat Deposition With Incident Diseases of the Exocrine and Endocrine Pancreas: A UK Biobank Prospective Cohort Study;American Journal of Gastroenterology;2024-04-26

4. Automated abdominal adipose tissue segmentation and volume quantification on longitudinal MRI using 3D convolutional neural networks with multi-contrast inputs;Magnetic Resonance Materials in Physics, Biology and Medicine;2024-02-01

5. Deep learning–based multimodal segmentation of oropharyngeal squamous cell carcinoma on CT and MRI using self-configuring nnU-Net;European Radiology;2024-01-20

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