A pattern classification approach to aorta calcium scoring in radiographs

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6 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 languageEnglish
Title of host publicationComputer Vision for Biomedical Image Applications : ICCV workshop: Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends
Publisher<Forlag uden navn>
Publication date2005
Pages170-177
ISBN (Print)978-3-540-29411-5
DOIs
Publication statusPublished - 2005
Externally publishedYes
EventFirst International Workshop Computer Vision for Biomedical Image Applications (CVBIA) - Beijing, China
Duration: 29 Nov 2010 → …
Conference number: 1

Conference

ConferenceFirst International Workshop Computer Vision for Biomedical Image Applications (CVBIA)
Number1
Country/TerritoryChina
CityBeijing
Period29/11/2010 → …
SeriesLecture notes in computer science
Volume3765/2005
ISSN0302-9743

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