Reproducibility of automatic adipose tissue segmentation using proton density fat fraction images between 1.5 and 3.0 T magnetic resonance

Good reproducibility of whole-body adipose tissue distribution analysis using the DL method between 1.5 and 3.0 T MR images was demonstrated, which may facilitate the whole-body adipose tissue distribution analysis using the quantitative MR-PDFF images.

Authors

Institutions

Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2024-12-31
DOI
https://doi.org/10.21037/qims-24-1306
Primary Topic
Cardiovascular Disease and Adiposity
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reproducibility of automatic adipose tissue segmentation using proton density fat fraction images between 1.5 and 3.0 T magnetic resonance

Chao Zou, Liwen Wan, Qian Wan, Hao Peng et al.
1 links
Quantitative Imaging in Medicine and Surgery
Cardiovascular Disease and Adiposity
article

Reproducibility of automatic adipose tissue segmentation using proton density fat fraction images between 1.5 and 3.0 T magnetic resonance

Chao Zou, Liwen Wan, Qian Wan, Hao Peng, Jingshan Gong, Chuanli Cheng, Bingsheng Huang, Hongwu Zeng, Naiwen Zhang, Xin Liu, Hairong Zheng
article en

Abstract

Good reproducibility of whole-body adipose tissue distribution analysis using the DL method between 1.5 and 3.0 T MR images was demonstrated, which may facilitate the whole-body adipose tissue distribution analysis using the quantitative MR-PDFF images.

Quantitative Imaging in Medicine and SurgeryVol. 15(1)
Shenzhen University (CN), Chinese Academy of Sciences (CN), ShenZhen People’s Hospital (CN), Shenzhen Institutes of Advanced Technology (CN), Shenzhen Children's Hospital (CN)
Chinese Academy of Sciences, Natural Science Foundation of Guangdong Province
Zero hunger
Openalex Percentile: Top 56%
Cardiovascular Disease and Adiposity
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Reproducibility of automatic adipose tissue segmentation using proton density fat fraction images between 1.5 and 3.0 T magnetic resonance — Chao Zou, Liwen Wan, et al. · Quantitative Imaging in Medicine and Surgery (2024) | TGRS Research Map | TGRS