Probabilistic segmentation of the lumen from intravascular ultrasound radio frequency data

E. Gerardomendizabal-Ruiz, Ioannis A. Kakadiaris

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Intravascular ultrasound (IVUS) is a catheter-based medical imaging technique that produces cross-sectional images of blood vessels. In this paper, we present a method for the segmentation of the luminal border using IVUS radio frequency (RF) data. Specifically, we parameterize the lumen contour using Fourier series. This contour is deformed by minimizing a cost function that is formulated using a probabilistic approach in which the a priori term is obtained using the prediction confidence of a Support Vector Machine classifier using features extracted from the RF signal. We evaluated the performance of our method by comparing our results with manual segmentations from two expert observers on 280 frames from eight 40 MHz IVUS sequences from rabbits and pigs. The performance was evaluated using the Dice similarity coefficient, coefficient of determination, and linear regressions of the lumen area for each frame. Our results indicate the feasibility of our method for the segmentation of the lumen from IVUS RF data.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI2012 - 15th International Conference, Proceedings
EditorsLe Lu, Antonio Criminisi, Bjoern H. Menze, Albert Montillo, Georg Langs, Georg Langs, Bjoern H. Menze, Zhuowen Tu, Nicholas Ayache, Hervé Delingette, Polina Golland, Kensaku Mori
PublisherSpringer-Verlag
Pages454-461
Number of pages8
ISBN (Print)9783642334177
DOIs
StatePublished - 2012
Event15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012 - Nice, France
Duration: Oct 5 2012Oct 5 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7511 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012
Country/TerritoryFrance
CityNice
Period10/5/1210/5/12

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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