Frangi goes US: Multiscale tubular structure detection adapted to 3D ultrasound

Paulo Waelkens, Seyed Ahmad Ahmadi, Nassir Navab

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

6 Zitate (Scopus)

Abstract

We propose a Hessian matrix based multiscale tubular structure detection (TSD) algorithm adapted to 3D B-mode vascular US images. The algorithm is designed to highlight blood vessel centerline points and yield an estimate of the cross-section radius at each centerline point. It can be combined with a simple centerline extraction scheme, yielding precise, fast and fully automatic lumen segmentation initializations. TSD algorithms designed with CTA and MRA datasets in mind, e.g. the Frangi Filter [3], are not capable of reliably distinguishing centerline points from other points in vascular US datasets, since some assumptions underlying these algorithms are not reasonable for US datasets. The algorithm we propose, does not have these shortcomings and performs significantly better on vascular US datasets. We propose a statistic to evaluate how well a TSD algorithm is able to distinguish centerline points from other points. Based on this statistic, we compare the Frangi Filter to various versions of our new algorithm, on 11 3D US carotid datasets.

OriginalspracheEnglisch
TitelMedical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings
Redakteure/-innenNicholas Ayache, Herve Delingette, Polina Golland, Kensaku Mori
Herausgeber (Verlag)Springer Verlag
Seiten625-633
Seitenumfang9
ISBN (Print)9783642334146
DOIs
PublikationsstatusVeröffentlicht - 2012
Veranstaltung15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012 - Nice, Frankreich
Dauer: 1 Okt. 20125 Okt. 2012

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band7510 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012
Land/GebietFrankreich
OrtNice
Zeitraum1/10/125/10/12

Fingerprint

Untersuchen Sie die Forschungsthemen von „Frangi goes US: Multiscale tubular structure detection adapted to 3D ultrasound“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren