Quantizing Calcification in the Lumbar Aorta on 2-D Lateral X-Ray Images

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

In this paper we seek to improve the standard method of assessing the degree of calcification in the lumbar aorta visualized on lateral 2-D X-rays. The semiquantitative method does not take density of calcification within the individual plaques into account and is unable to measure subtle changes in the severity of calcification over time. Both of these parameters would be desirable to access, since they are the keys to assessing important information on the impact of risk factors and candidate drugs aiming at the prevention of atherosclerosis.
Herein we propose to estimate the background of a calcification using inpainting, a technique used in image restoration as well as postprocessing of film, and measure the plaque density as the difference between the background estimation and the original image. Furthermore, we compare total variation inpainting with harmonic inpainting and discuss the potential implications of inpainting for characterizing aortic calcification.
OriginalsprogEngelsk
TitelComputer Vision for Biomedical Image Applications : ICCV workshop
Forlag<Forlag uden navn>
Publikationsdato2005
Sider409-418
ISBN (Trykt)978-3-540-29411-5
DOI
StatusUdgivet - 2005
Eksternt udgivetJa
BegivenhedFirst International Workshop, CVBIA - Beijing, Kina
Varighed: 29 nov. 2010 → …
Konferencens nummer: 1

Konference

KonferenceFirst International Workshop, CVBIA
Nummer1
LandKina
ByBeijing
Periode29/11/2010 → …
NavnLecture notes in computer science
Vol/bind3765/2005
ISSN0302-9743

ID: 4924965