A three-dimensional medical image segmentation app using graphic theory

Tiancheng He, Zhong Xue, Stephen T. Wong

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

Abstract

We present a smartphone App for three-dimensional (3-D) medical image segmentation aimed at providing a portable image computing solution for physicians. Smartphones have become powerful portable devices to not only visualize images but also provide basic annotation tasks for diagnosis and reviewing treatment planning. In this paper, we present a fast region of interest (ROI) segmentation App for medical images. Using CT lung images, we show that such images can be streamed onto the smartphone from the picture archiving and communication system (PACS), and tumor or other ROIs are segmented by simply pinpointing initial points inside and outside an ROI on the image. Image visualization is also provided so that radiological report or surgical (e.g., intervention) planning can be accomplished through the interface. To ensure fast computation with the limited CPU memory, a graph-based segmentation algorithm is tailored to occupy less memory using a streaming-style computation. Once the image is loaded, a graph is computed to reflect the spatial-intensity relationship among the voxels. Then, given initial points inside and outside an ROI, segmentation is performed based on the graph. Quantitative results show that fast and accurate segmentation can be achieved using the proposed method. We expect that such Apps can be utilized for image reading, ROI annotation, or surgical planning review in the areas of radiology, intervention, and oncology.

Original languageEnglish (US)
Title of host publication3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages268-271
Number of pages4
ISBN (Print)9781509024551
DOIs
StatePublished - Apr 18 2016
Event3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016 - Las Vegas, United States
Duration: Feb 24 2016Feb 27 2016

Other

Other3rd IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2016
CountryUnited States
CityLas Vegas
Period2/24/162/27/16

ASJC Scopus subject areas

  • Health Informatics
  • Health Information Management

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