A pattern classification approach to aorta calcium scoring in radiographs

TY - GEN

T1 - A pattern classification approach to aorta calcium scoring in radiographs

AU - de Bruijne, Marleen

N1 - Conference code: 1

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

U2 - 10.1007/11569541

DO - 10.1007/11569541

M3 - Article in proceedings

SN - 978-3-540-29411-5

T3 - Lecture notes in computer science

SP - 170

EP - 177

BT - Computer Vision for Biomedical Image Applications

PB - <Forlag uden navn>

T2 - First International Workshop Computer Vision for Biomedical Image Applications (CVBIA)

Y2 - 29 November 2010

ER -