A knowledge discovery approach to diagnosing intracranial hematomas on brain CT: Recognition, measurement and classification

Chun Chih Liao, Furen Xiao, Jau Min Wong, I-Jen Chiang

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

10 Citations (Scopus)

Abstract

Computed tomography (CT) of the brain is preferred study on neurological emergencies. Physicians use CT to diagnose various types of intracranial hematomas, including epidural, subdural and intracerebral hematomas according to their locations and shapes. We propose a novel method that can automatically diagnose intracranial hematomas by combining machine vision and knowledge discovery techniques. The skull on the CT slice is located and the depth of each intracranial pixel is labeled. After normalization of the pixel intensities by their depth, the hyperdense area of intracranial hematoma is segmented with multi-resolution thresholding and region-growing. We then apply C4.5 algorithm to construct a decision tree using the features of the segmented hematoma and the diagnoses made by physicians. The algorithm was evaluated on 48 pathological images treated in a single institute. The two discovered rules closely resemble those used by human experts, and are able to make correct diagnoses in all cases.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages73-82
Number of pages10
Volume4901 LNCS
Publication statusPublished - 2008
Event1st International Conference on Medical Biometrics, ICMB 2008 - Hong Kong, Hong Kong
Duration: Jan 4 2008Jan 5 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4901 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other1st International Conference on Medical Biometrics, ICMB 2008
CountryHong Kong
CityHong Kong
Period1/4/081/5/08

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

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  • Cite this

    Liao, C. C., Xiao, F., Wong, J. M., & Chiang, I-J. (2008). A knowledge discovery approach to diagnosing intracranial hematomas on brain CT: Recognition, measurement and classification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4901 LNCS, pp. 73-82). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4901 LNCS).