Literature DB >> 17282754

Segmentation of Opacified Thorax Vessels using Model-driven Active Contour.

Raphael Sebbe1, Bernard Gosselin, Emmanuel Coche, Benoit Macq.   

Abstract

We propose a novel method, guided slice marching to segment opacified vessels tree in 3D image sets (CT scans). It combines a front propagation technique, slice marching, and an anatomical model to guide the propagation for solving the particular case of touching vessels. The formulation of this method, which is based on interface evolution theory, enables easy integration of an a priori model of knowledge of vessels topology to handle the case of touching vessels, where image-based method systematically fails. The a priori knowledge is expressed as parametric curves that model vessels centerline. That information is injected in the fast marching method through the speed of propagation, setting it to zero at missing vessels boundaries. The model is intended to be reused across patients, and must therefore be registered with the image.

Entities:  

Year:  2005        PMID: 17282754     DOI: 10.1109/IEMBS.2005.1616985

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  Segmentation and quantification of pulmonary artery for noninvasive CT assessment of sickle cell secondary pulmonary hypertension.

Authors:  Marius George Linguraru; John A Pura; Robert L Van Uitert; Nisha Mukherjee; Ronald M Summers; Caterina Minniti; Mark T Gladwin; Gregory Kato; Roberto F Machado; Bradford J Wood
Journal:  Med Phys       Date:  2010-04       Impact factor: 4.071

2.  3D Pulmonary Artery Segmentation from CTA Scans Using Deep Learning with Realistic Data Augmentation.

Authors:  Karen López-Linares Román; Isaac de La Bruere; Jorge Onieva; Lasse Andresen; Jakob Qvortrup Holsting; Farbod N Rahaghi; Iván Macía; Miguel A González Ballester; Raúl San José Estepar
Journal:  Image Anal Mov Organ Breast Thorac Images (2018)       Date:  2018-09-13
  2 in total

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