Presentation 2006-05-26
A Novel Adaptive Partial Median Filter for Detectability Improvement of Acute Stroke Signs on Brain CT Images
Yongbum LEE, Noriyuki TAKAHASHI, Du-Yih TSAI,
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Abstract(in English) Computed tomography (CT) is an important modality for diagnosis of hyper-acute stroke. In this study, a novel adaptive partial median filter (APMF) that aimed to improve detectability of hyper-acute stroke on non-enhanced brain CT images was proposed. The APMF can reduce noise components while preserving signal components. Adequate parameters of APMF for detectability improvement of hyper-acute stroke were determined by simulation, and then, APMF were applied to clinical images. The results showed that the detectability of hyper-acute stroke were much improved.
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Keyword(in English) Computed tomography / hyper-acute stroke / noise reduction / edge preserving / computer-aided diagnosis (CAD)
Paper # PRMU2006-23,MI2006-23
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Committee PRMU
Conference Date 2006/5/19(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Novel Adaptive Partial Median Filter for Detectability Improvement of Acute Stroke Signs on Brain CT Images
Sub Title (in English)
Keyword(1) Computed tomography
Keyword(2) hyper-acute stroke
Keyword(3) noise reduction
Keyword(4) edge preserving
Keyword(5) computer-aided diagnosis (CAD)
1st Author's Name Yongbum LEE
1st Author's Affiliation School of Health Sciences, Faculty of Medicine, Niigata University()
2nd Author's Name Noriyuki TAKAHASHI
2nd Author's Affiliation Department of Radiology, Sendai City Hospital
3rd Author's Name Du-Yih TSAI
3rd Author's Affiliation School of Health Sciences, Faculty of Medicine, Niigata University
Date 2006-05-26
Paper # PRMU2006-23,MI2006-23
Volume (vol) vol.106
Number (no) 73
Page pp.pp.-
#Pages 6
Date of Issue