A pattern classification approach to aorta calcium scoring in radiographs

Marleen de Bruijne

doi:10.1007/11569541

A pattern classification approach to aorta calcium scoring in radiographs

5 Citations (Scopus)

Abstract

A method for automated detection of calcifications in the abdominal aorta from standard X-ray images is presented. Pixel classification based on local image structure is combined with a spatially varying prior that is derived from a statistical model of the combined shape variation in aorta and spine.

Leave-one-out experiments were performed on 87 standard lateral lumbar spine X-rays, resulting in on average 93.7% of the pixels within the aorta being correctly classified.

Original language	English
Title of host publication	Computer Vision for Biomedical Image Applications : ICCV workshop: Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends
Publisher	<Forlag uden navn>
Publication date	2005
Pages	170-177
ISBN (Print)	978-3-540-29411-5
DOIs	https://doi.org/10.1007/11569541
Publication status	Published - 2005
Externally published	Yes
Event	First International Workshop Computer Vision for Biomedical Image Applications (CVBIA) - Beijing, China Duration: 29 Nov 2010 → … Conference number: 1

Conference

Conference	First International Workshop Computer Vision for Biomedical Image Applications (CVBIA)
Number	1
Country/Territory	China
City	Beijing
Period	29/11/2010 → …

Series	Lecture notes in computer science
Volume	3765/2005
ISSN	0302-9743

Access to Document

10.1007/11569541

http://www.springerlink.de/content/78252n47v6670q43/fulltext.pdf

Cite this

de Bruijne, M. (2005). A pattern classification approach to aorta calcium scoring in radiographs. In Computer Vision for Biomedical Image Applications: ICCV workshop: Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends (pp. 170-177). <Forlag uden navn>. Lecture notes in computer science Vol. 3765/2005 https://doi.org/10.1007/11569541

A pattern classification approach to aorta calcium scoring in radiographs. / de Bruijne, Marleen.

Computer Vision for Biomedical Image Applications: ICCV workshop: Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends. <Forlag uden navn>, 2005. p. 170-177 (Lecture notes in computer science, Vol. 3765/2005).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

de Bruijne, M 2005, A pattern classification approach to aorta calcium scoring in radiographs. in Computer Vision for Biomedical Image Applications: ICCV workshop: Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends. <Forlag uden navn>, Lecture notes in computer science, vol. 3765/2005, pp. 170-177, First International Workshop Computer Vision for Biomedical Image Applications (CVBIA), Beijing, China, 29/11/2010. https://doi.org/10.1007/11569541

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abstract = "A method for automated detection of calcifications in the abdominal aorta from standard X-ray images is presented. Pixel classification based on local image structure is combined with a spatially varying prior that is derived from a statistical model of the combined shape variation in aorta and spine. Leave-one-out experiments were performed on 87 standard lateral lumbar spine X-rays, resulting in on average 93.7% of the pixels within the aorta being correctly classified. ",

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A pattern classification approach to aorta calcium scoring in radiographs

Abstract

Conference

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