Automated assessment of small bowel motility function based on simple linear iterative clustering (SLIC)

Yen Wei Chen, Akira Furukawa, Ayako Taniguchi, Tomoko Tateyama, Shuzo Kanasaki

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

2 Citations (Scopus)

Abstract

In this paper, we propose an automated method for assessment of small bowel contraction movement based on the simple linear iterative clustering (SLIC) with cine-MRI. In our proposed method, the small bowel in each frame is considered as a super-pixel and is first segmented by the use of SLIC. SLIC performs a local clustering of pixels in a 3-D space defined by intensity and (x, y) coordinates. Then the dynamic area change of the segmented small bowel is used for quantitative analysis of the small bowel motility function. Compared with existing methods, our proposed method can achieve better results.

Original languageEnglish
Title of host publication2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
EditorsZhuo Tang, Jiayi Du, Shu Yin, Renfa Li, Ligang He
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1737-1740
Number of pages4
ISBN (Electronic)9781467376822
DOIs
Publication statusPublished - 13-01-2016
Externally publishedYes
Event12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 - Zhangjiajie, China
Duration: 15-08-201517-08-2015

Publication series

Name2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015

Other

Other12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
Country/TerritoryChina
CityZhangjiajie
Period15-08-1517-08-15

All Science Journal Classification (ASJC) codes

  • Discrete Mathematics and Combinatorics
  • Modelling and Simulation
  • Computer Networks and Communications
  • Control and Systems Engineering

Fingerprint

Dive into the research topics of 'Automated assessment of small bowel motility function based on simple linear iterative clustering (SLIC)'. Together they form a unique fingerprint.

Cite this