Model-based segmentation of short-axis MR cardiac images

Lieuwe Jan Spreeuwers; M. Breeuwer

doi:10.1016/j.ics.2005.03.311

Model-based segmentation of short-axis MR cardiac images

Lieuwe Jan Spreeuwers, M. Breeuwer

Research output: Contribution to conference › Paper › peer-review

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Abstract

Reliable automatic segmentation of MR cardiac images is still an important problem in medical image processing. Although image data quality has improved considerably during the last years, this segmentation is still considered a difficult problem. Manual segmentation is hardly an option as this is extremely labour intensive. This paper describes a combined bottom-up and top-down approach to the problem of automatic segmentation of short-axis MR cardiac images, i.e. extract the boundaries of the left and right ventricle and the myocardium. The method is evaluated using 69 datasets for which manual segmentations were available.

Original language	English
Pages	39-43
Number of pages	5
DOIs	https://doi.org/10.1016/j.ics.2005.03.311
Publication status	Published - Jun 2005
Event	19th International Congress and Exhibition on Computer Assisted Radiology and Surgery, CARS 2005 - Berlin, Germany Duration: 21 Jun 2005 → 25 Jun 2005 Conference number: 19

Conference

Conference	19th International Congress and Exhibition on Computer Assisted Radiology and Surgery, CARS 2005
Abbreviated title	CARS
Country/Territory	Germany
City	Berlin
Period	21/06/05 → 25/06/05

Keywords

IR-65086
SCS-Safety
EWI-14027

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10.1016/j.ics.2005.03.311

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title = "Model-based segmentation of short-axis MR cardiac images",

abstract = "Reliable automatic segmentation of MR cardiac images is still an important problem in medical image processing. Although image data quality has improved considerably during the last years, this segmentation is still considered a difficult problem. Manual segmentation is hardly an option as this is extremely labour intensive. This paper describes a combined bottom-up and top-down approach to the problem of automatic segmentation of short-axis MR cardiac images, i.e. extract the boundaries of the left and right ventricle and the myocardium. The method is evaluated using 69 datasets for which manual segmentations were available.",

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AU - Breeuwer, M.

N1 - Conference code: 19

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N2 - Reliable automatic segmentation of MR cardiac images is still an important problem in medical image processing. Although image data quality has improved considerably during the last years, this segmentation is still considered a difficult problem. Manual segmentation is hardly an option as this is extremely labour intensive. This paper describes a combined bottom-up and top-down approach to the problem of automatic segmentation of short-axis MR cardiac images, i.e. extract the boundaries of the left and right ventricle and the myocardium. The method is evaluated using 69 datasets for which manual segmentations were available.

AB - Reliable automatic segmentation of MR cardiac images is still an important problem in medical image processing. Although image data quality has improved considerably during the last years, this segmentation is still considered a difficult problem. Manual segmentation is hardly an option as this is extremely labour intensive. This paper describes a combined bottom-up and top-down approach to the problem of automatic segmentation of short-axis MR cardiac images, i.e. extract the boundaries of the left and right ventricle and the myocardium. The method is evaluated using 69 datasets for which manual segmentations were available.

KW - IR-65086

KW - SCS-Safety

KW - EWI-14027

U2 - 10.1016/j.ics.2005.03.311

DO - 10.1016/j.ics.2005.03.311

M3 - Paper

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T2 - 19th International Congress and Exhibition on Computer Assisted Radiology and Surgery, CARS 2005

Y2 - 21 June 2005 through 25 June 2005

ER -

Model-based segmentation of short-axis MR cardiac images

Abstract

Conference

Keywords

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