Presentation 2001/5/10
Visualization and Quantification of Medical Volume Data Based on 3D Local Intensity Structures
Yoshinobu Sato,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper describes a method for the enhancement and quantification of line-like shapes such as blood vessels and sheet-like shapes such as articular cartilage in medical volume data. Based on multiscale Gaussian filters and the Hessian matrix of the volume function, line and sheet structures with various widths are enhanced. Local intensity structures are represented as continuous functions by further combining the gradient vectors. Medial axis/surface elements are locally determined based on the second-order approximations of local intensity structures. Diameter/thickness quantification is performed based on detected medial axis/surface elements, and various widths of structures are combined through multiscale integration. The utility of the method is demonstrated by experiments of vessel diameter determination and cartilage thickness determination using real computed tomography (CT) and magnetic resonance (MR) volume data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) volume filtering / line filter / multiscale integration / vessel enhancement / vessel diameter measurement / cartilage thickness measurement / medial axis / medical surface.
Paper # PRMU2001-5,MI2001-17
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Conference Information
Committee PRMU
Conference Date 2001/5/10(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Visualization and Quantification of Medical Volume Data Based on 3D Local Intensity Structures
Sub Title (in English)
Keyword(1) volume filtering
Keyword(2) line filter
Keyword(3) multiscale integration
Keyword(4) vessel enhancement
Keyword(5) vessel diameter measurement
Keyword(6) cartilage thickness measurement
Keyword(7) medial axis
Keyword(8) medical surface.
1st Author's Name Yoshinobu Sato
1st Author's Affiliation Division of Interdisciplinary Image Analysis (Formerly, Division of Functional Diagnostic Imaging) Department of Medical Robotics and Image Sciences Osaka University Graduate School of Medicine()
Date 2001/5/10
Paper # PRMU2001-5,MI2001-17
Volume (vol) vol.101
Number (no) 57
Page pp.pp.-
#Pages 8
Date of Issue