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

Marleen de Bruijne

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

6 Citationer (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.

Originalsprog	Engelsk
Titel	Computer Vision for Biomedical Image Applications : ICCV workshop: Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends
Forlag	<Forlag uden navn>
Publikationsdato	2005
Sider	170-177
ISBN (Trykt)	978-3-540-29411-5
DOI	https://doi.org/10.1007/11569541
Status	Udgivet - 2005
Udgivet eksternt	Ja
Begivenhed	First International Workshop Computer Vision for Biomedical Image Applications (CVBIA) - Beijing, Kina Varighed: 29 nov. 2010 → … Konferencens nummer: 1

Konference

Konference	First International Workshop Computer Vision for Biomedical Image Applications (CVBIA)
Nummer	1
Land/Område	Kina
By	Beijing
Periode	29/11/2010 → …

Navn	Lecture notes in computer science
Vol/bind	3765/2005
ISSN	0302-9743

Adgang til dokumentet

10.1007/11569541

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

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Tjek tilgængelighed hos det Kgl. Bibliotek

Citationsformater

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. s. 170-177 (Lecture notes in computer science, Bind 3765/2005).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

de Bruijne, M 2005, A pattern classification approach to aorta calcium scoring in radiographs. i 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, bind 3765/2005, s. 170-177, First International Workshop Computer Vision for Biomedical Image Applications (CVBIA), Beijing, Kina, 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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