Image analysis and 3-D visualization of intracerebral brain hemorrhage

Atam P. Dhawan; Sven Loncaric; Kari Hitt; Joseph Broderick; Thomas Brott

Image analysis and 3-D visualization of intracerebral brain hemorrhage

Atam P. Dhawan, Sven Loncaric, Kari Hitt, Joseph Broderick, Thomas Brott

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A new 3D technique for the human spontaneous intracerebral brain hemorrhage (ICH) region segmentation and quantification is presented in this paper. The ICH primary region segmentation algorithm uses the K-means histogram-based clustering algorithm. The ICH edema region segmentation algorithm employs an interactive morphological processing of the ICH brain data. A volume rendering technique is used for the effective 3D visualisation of ICH segmented regions. A computer programme is developed for use in the human spontaneous ICH study involving large number of patients. Some experimental measurements and visualisation results are presented which were computed on real ICH patient brain data.

Original language	English (US)
Title of host publication	IEEE Symposium on Computer-Based Medical Systems
Editors	Anon
Publisher	Publ by IEEE
Pages	140-145
Number of pages	6
ISBN (Print)	0818637528
State	Published - 1993
Externally published	Yes
Event	Proceedings of the 6th Annual IEEE Symposium on Computer-Based Medical Systems - Ann Arbor, MI, USA Duration: Jun 13 1993 → Jun 16 1993

Publication series

Name	IEEE Symposium on Computer-Based Medical Systems

Other

Other	Proceedings of the 6th Annual IEEE Symposium on Computer-Based Medical Systems
City	Ann Arbor, MI, USA
Period	6/13/93 → 6/16/93

All Science Journal Classification (ASJC) codes

Radiology Nuclear Medicine and imaging
Computer Science Applications

Cite this

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title = "Image analysis and 3-D visualization of intracerebral brain hemorrhage",

abstract = "A new 3D technique for the human spontaneous intracerebral brain hemorrhage (ICH) region segmentation and quantification is presented in this paper. The ICH primary region segmentation algorithm uses the K-means histogram-based clustering algorithm. The ICH edema region segmentation algorithm employs an interactive morphological processing of the ICH brain data. A volume rendering technique is used for the effective 3D visualisation of ICH segmented regions. A computer programme is developed for use in the human spontaneous ICH study involving large number of patients. Some experimental measurements and visualisation results are presented which were computed on real ICH patient brain data.",

author = "Dhawan, {Atam P.} and Sven Loncaric and Kari Hitt and Joseph Broderick and Thomas Brott",

year = "1993",

language = "English (US)",

isbn = "0818637528",

series = "IEEE Symposium on Computer-Based Medical Systems",

publisher = "Publ by IEEE",

pages = "140--145",

editor = "Anon",

booktitle = "IEEE Symposium on Computer-Based Medical Systems",

note = "Proceedings of the 6th Annual IEEE Symposium on Computer-Based Medical Systems ; Conference date: 13-06-1993 Through 16-06-1993",

}

Dhawan, AP, Loncaric, S, Hitt, K, Broderick, J & Brott, T 1993, Image analysis and 3-D visualization of intracerebral brain hemorrhage. in Anon (ed.), IEEE Symposium on Computer-Based Medical Systems. IEEE Symposium on Computer-Based Medical Systems, Publ by IEEE, pp. 140-145, Proceedings of the 6th Annual IEEE Symposium on Computer-Based Medical Systems, Ann Arbor, MI, USA, 6/13/93.

TY - GEN

T1 - Image analysis and 3-D visualization of intracerebral brain hemorrhage

AU - Dhawan, Atam P.

AU - Loncaric, Sven

AU - Hitt, Kari

AU - Broderick, Joseph

AU - Brott, Thomas

PY - 1993

Y1 - 1993

N2 - A new 3D technique for the human spontaneous intracerebral brain hemorrhage (ICH) region segmentation and quantification is presented in this paper. The ICH primary region segmentation algorithm uses the K-means histogram-based clustering algorithm. The ICH edema region segmentation algorithm employs an interactive morphological processing of the ICH brain data. A volume rendering technique is used for the effective 3D visualisation of ICH segmented regions. A computer programme is developed for use in the human spontaneous ICH study involving large number of patients. Some experimental measurements and visualisation results are presented which were computed on real ICH patient brain data.

AB - A new 3D technique for the human spontaneous intracerebral brain hemorrhage (ICH) region segmentation and quantification is presented in this paper. The ICH primary region segmentation algorithm uses the K-means histogram-based clustering algorithm. The ICH edema region segmentation algorithm employs an interactive morphological processing of the ICH brain data. A volume rendering technique is used for the effective 3D visualisation of ICH segmented regions. A computer programme is developed for use in the human spontaneous ICH study involving large number of patients. Some experimental measurements and visualisation results are presented which were computed on real ICH patient brain data.

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M3 - Conference contribution

AN - SCOPUS:0027884552

SN - 0818637528

T3 - IEEE Symposium on Computer-Based Medical Systems

SP - 140

EP - 145

BT - IEEE Symposium on Computer-Based Medical Systems

A2 - Anon, null

PB - Publ by IEEE

T2 - Proceedings of the 6th Annual IEEE Symposium on Computer-Based Medical Systems

Y2 - 13 June 1993 through 16 June 1993

ER -

Image analysis and 3-D visualization of intracerebral brain hemorrhage

Abstract

Publication series

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All Science Journal Classification (ASJC) codes

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