Automated assessment of small bowel motility function based on feature points tracking

Kazuki Otsuki, Akira Furukawa, Shuzo Kanasaki, Yutaro Iwamoto, Tomoko Tateyama, Yen Wei Chen

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

Abstract

In this paper, we propose an automated method for assessing small bowel contraction movement with Cine-MRI based on automatic feature points tracking. The proposed method comprises two steps. First, in the initial frame, the user selects two arbitrary points on the boundary of the small bowel. The distance between the two points represents the size of the small bowl. Second, each of the two points is automatically tracked by the use of Kanade-Lucas-Tomasi (KLT) tracker method in the temporal sequence images. The contraction movement of the small intestine can be automatically analyzed by tracking these two points. Compared with the conventional method based on small bowel segmentation, The KLT-tracker method allows us to analyze the small intestinal contraction movement faster and establish a more objective analysis method.

Original languageEnglish
Title of host publicationICNC-FSKD 2018 - 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery
EditorsZheng Xiao, Lipo Wang, Guoqing Xiao, Xiong Ning, Kenli Li, Maozhen Li
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages437-440
Number of pages4
ISBN (Electronic)9781538680971
DOIs
Publication statusPublished - 02-07-2018
Externally publishedYes
Event14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2018 - Huangshan, Anhui, China
Duration: 28-07-201830-07-2018

Publication series

NameICNC-FSKD 2018 - 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery

Conference

Conference14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2018
Country/TerritoryChina
CityHuangshan, Anhui
Period28-07-1830-07-18

All Science Journal Classification (ASJC) codes

  • Information Systems and Management
  • Logic
  • Modelling and Simulation
  • Statistics and Probability
  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems

Fingerprint

Dive into the research topics of 'Automated assessment of small bowel motility function based on feature points tracking'. Together they form a unique fingerprint.

Cite this