The diagnostic application of brain image processing and analysis system for ischemic stroke

Tzyh Chyang Chang, Jiann Der Lee, Chung Hsien Huang, Tony Wu, Chi Jen Chen, Shwu Jiuan Wu

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The diffusion weighted image (DWI) technique is routinely used for diagnosis and treatment of early stroke due to its superior performance, especially when compared with conventional magnetic resonance image (MRI) for detection of acute ischemic stroke. Using DWI examination, this paper proposes an application of image processing in a computer-aided diagnosis system, which can effectively calculate the volume size and provide 3D reconstruction data of a lesion. The potential benefits of using our system include the higher accuracy of acute stroke lesion definition, the reduced time and procedure of calculating the volume, and providing 3D reconstruction image of stroke patients, which can effectively assist doctors in making more accurate diagnoses and treating patients in a more convenient way. Compared with the traditional method, the experimental results have shown the superior performance of this proposed system.

Original languageEnglish
Pages (from-to)31-38
Number of pages8
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4292 LNCS - II
Publication statusPublished - 2006
Externally publishedYes

Fingerprint

Stroke
Image Analysis
Image analysis
Image Processing
Brain
Diagnostics
Image processing
Computer aided diagnosis
3D Reconstruction
Magnetic resonance
Image reconstruction
Acute
Computer-aided Diagnosis
Magnetic Resonance Image
High Accuracy
Calculate
Experimental Results

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

The diagnostic application of brain image processing and analysis system for ischemic stroke. / Chang, Tzyh Chyang; Lee, Jiann Der; Huang, Chung Hsien; Wu, Tony; Chen, Chi Jen; Wu, Shwu Jiuan.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 4292 LNCS - II, 2006, p. 31-38.

Research output: Contribution to journalArticle

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