Automatic segmentation of thigh muscle in longitudinal 3D T1-weighted magnetic resonance (MR) images

Zihao Tang*, Chenyu Wang, Phu Hoang, Sidong Liu, Weidong Cai, Domenic Soligo, Ruth Oliver, Michael Barnett, Ché Fornusek

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

The quantification of muscle mass is important in clinical populations with chronic paralysis, cachexia, and sarcopenia. This is especially true when testing interventions which are designed to maintain or improve muscle mass. The purpose of this paper is to report on an automated method of MRI-based thigh muscle segmentation framework that minimizes longitudinal deviation by using femur segmentation as a reference in a two-phase registration. Imaging data from seven patients with severe multiple sclerosis who had undergone MRI scans at multiple time points were used to develop and validate our method. The proposed framework results in robust, automated co-registration between baseline and follow up scans, and generates a reliable thigh muscle mask that excludes intramuscular fat.

Original languageEnglish
Title of host publicationData driven treatment response assessment and preterm, perinatal, and paediatric image analysis
Subtitle of host publicationFirst International Workshop, DATRA 2018 and Third International Workshop, PIPPI 2018 Held in Conjunction with MICCAI 2018, Proceedings
EditorsAndrew Melbourne, Roxane Licandro, Matthew DiFranco, Paolo Rota, Melanie Gau, Martin Kampel, Rosalind Aughwane, Pim Moeskops, Ernst Schwartz, Emma Robinson, Antonios Makropoulos
PublisherSpringer-VDI-Verlag GmbH & Co. KG
Pages14-21
Number of pages8
ISBN (Electronic)9783030008079
ISBN (Print)9783030008062
DOIs
Publication statusPublished - 1 Jan 2018
Externally publishedYes
Event1st International Workshop on Data Driven Treatment Response Assessment, DATRA 2018 and 3rd International Workshop on Preterm, Perinatal, and Paediatric Image Analysis, PIPPI 2018 Held in Conjunction with 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018 - Granada, Spain
Duration: 16 Sep 201816 Sep 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11076 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Workshop on Data Driven Treatment Response Assessment, DATRA 2018 and 3rd International Workshop on Preterm, Perinatal, and Paediatric Image Analysis, PIPPI 2018 Held in Conjunction with 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018
CountrySpain
CityGranada
Period16/09/1816/09/18

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  • Cite this

    Tang, Z., Wang, C., Hoang, P., Liu, S., Cai, W., Soligo, D., ... Fornusek, C. (2018). Automatic segmentation of thigh muscle in longitudinal 3D T1-weighted magnetic resonance (MR) images. In A. Melbourne, R. Licandro, M. DiFranco, P. Rota, M. Gau, M. Kampel, R. Aughwane, P. Moeskops, E. Schwartz, E. Robinson, ... A. Makropoulos (Eds.), Data driven treatment response assessment and preterm, perinatal, and paediatric image analysis: First International Workshop, DATRA 2018 and Third International Workshop, PIPPI 2018 Held in Conjunction with MICCAI 2018, Proceedings (pp. 14-21). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11076 LNCS). Springer-VDI-Verlag GmbH & Co. KG. https://doi.org/10.1007/978-3-030-00807-9_2