Semi-automatic level-set based segmentation and stenosis quantification of the internal carotid artery in 3D CTA data sets.

Research output: Contribution to journal › Original Article › peer-review

47 Citations (Web of Science)

Keywords

@article{204b343a3cf84ed5a5e6572a19ef5e10,

title = "Semi-automatic level-set based segmentation and stenosis quantification of the internal carotid artery in 3D CTA data sets.",

keywords = "ANGIOGRAPHY, CALCIFICATIONS, MR",

author = "Holger Scherl and Joachim Hornegger and Marcus Pr{\"u}mmer and Michael Lell",

year = "2007",

doi = "10.1016/j.media.2006.09.004",

language = "English",

volume = "11",

pages = "21--34",

journal = "MEDICAL IMAGE ANALYSIS",

issn = "1361-8415",

publisher = "Elsevier ",

number = "1",

}

TY - JOUR

T1 - Semi-automatic level-set based segmentation and stenosis quantification of the internal carotid artery in 3D CTA data sets.

AU - Scherl, Holger

AU - Hornegger, Joachim

AU - Prümmer, Marcus

AU - Lell, Michael

PY - 2007

Y1 - 2007

KW - ANGIOGRAPHY

KW - CALCIFICATIONS

KW - MR

U2 - 10.1016/j.media.2006.09.004

DO - 10.1016/j.media.2006.09.004

M3 - Original Article

C2 - 17126064

SN - 1361-8415

VL - 11

SP - 21

EP - 34

JO - MEDICAL IMAGE ANALYSIS

JF - MEDICAL IMAGE ANALYSIS

IS - 1

ER -