Paper
13 March 2013 Hepatic vein segmentation using wavefront propagation and multiscale vessel enhancement
Klaus Drechsler, Cristina Oyarzun Laura, Stefan Wesarg
Author Affiliations +
Proceedings Volume 8669, Medical Imaging 2013: Image Processing; 86691A (2013) https://doi.org/10.1117/12.2006811
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
Modern volumetric imaging techniques such as CT or MRI, aid in the understanding of a patient's anatomy and pathologies. Depending on the medical use case, various anatomical structures are of interest. Blood vessels play an important role in several applications, e.g. surgical planning. Manual delineation of blood vessels in volumetric images is error prone and time consuming. Automated vessel segmentation is a challenging problem due to acquisition-dependent problems such as noise, contrast, spatial resolution, and artifacts. In this paper, a vessel segmentation method is presented that combines a wavefront propagation technique with Hessian-based vessel enhancement. The latter has proven its usefulness as a preprocessing step to detect tubular structures before the actual segmentation is carried out. The former allows for an ordered growing process, which enables topological analysis. The contribution of this work is as follows. 1. A new vessel enhancement filter for tubular structures based on the Laplacian is proposed, 2. a wavefront propagation technique is proposed that prevents leaks by imposing a threshold on the maximum number of voxels that the propagating front must contain, and 3. a volumetric hole filling method is proposed to filll holes, bays, and tunnels which are caused at locations where the tubular structure assumption is violated. The proposed method reduces approximately 50% of the necessary eigenvalue calculations for vessel enhancement and prevents leaks starting at small spots, which usually occur using standard region growing. Qualitative and quantitative evaluation based on several metrics (statistical measures, dice and symmetric average surface distance) is presented.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Klaus Drechsler, Cristina Oyarzun Laura, and Stefan Wesarg "Hepatic vein segmentation using wavefront propagation and multiscale vessel enhancement", Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 86691A (13 March 2013); https://doi.org/10.1117/12.2006811
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Cited by 5 scholarly publications.
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KEYWORDS
Wave propagation

Wavefronts

Image segmentation

Distance measurement

Veins

Blood vessels

Liver

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