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Localization and segmentation of optimal slices for chest fat quantification in CT via deep learning

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成果类型:
会议论文
作者:
Yi, Jizheng;Udupa, Jayaram K.*;Tong, Yubing;Anderson, Michaela R.;Lederer, David;...
通讯作者:
Udupa, Jayaram K.
作者机构:
[Yi, Jizheng] Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha 410004, Peoples R China.
[Tong, Yubing; Yi, Jizheng; Udupa, Jayaram K.; Torigian, Drew A.] Univ Penn, Med Image Proc Grp, Sch Med, Philadelphia, PA 19104 USA.
[Anderson, Michaela R.; Lederer, David] Columbia Univ, Dept Med, Med Ctr, New York, NY USA.
[Christie, Jason] Univ Penn, Dept Med, Philadelphia, PA 19104 USA.
通讯机构:
[Udupa, Jayaram K.] U
Univ Penn, Med Image Proc Grp, Sch Med, Philadelphia, PA 19104 USA.
语种:
英文
关键词:
visceral adipose tissue (VAT);subcutaneous adipose tissue (SAT);thorax;deep learning (DL);localization and segmentation;computed tomography (CT)
期刊:
Progress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN:
1605-7422
年:
2021
卷:
11317
会议名称:
SPIE Medical Imaging Conference - Biomedical Applications in Molecular, Structural, and Functional Imaging
会议论文集名称:
Progress in Biomedical Optics and Imaging
会议时间:
FEB 15-20, 2020
会议地点:
Houston, TX
会议主办单位:
[Yi, Jizheng] Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha 410004, Peoples R China.^[Yi, Jizheng;Udupa, Jayaram K.;Tong, Yubing;Torigian, Drew A.] Univ Penn, Med Image Proc Grp, Sch Med, Philadelphia, PA 19104 USA.^[Anderson, Michaela R.;Lederer, David] Columbia Univ, Dept Med, Med Ctr, New York, NY USA.^[Christie, Jason] Univ Penn, Dept Med, Philadelphia, PA 19104 USA.
会议赞助商:
SPIE
主编:
Krol, A Gimi, BS
出版地:
1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA
出版者:
SPIE-INT SOC OPTICAL ENGINEERING
ISBN:
978-1-5106-3402-2
机构署名:
本校为第一机构
院系归属:
计算机与信息工程学院
摘要:
Accurate measurement of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) in the thorax is important for understanding the impact of body composition upon various clinical disorders. The aim of this paper is to explore a practical system for the automatic localization of the axial slices through the thorax at the T7 and T8 vertebral levels in computed tomography (CT), and automatic segmentation of VAT in T7 slice and SAT at T8 slice via deep learning (DL). The methodology mainly consists of two models: the localization model based on AlexNet and the segmentation model based o...

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