Vessel tracking in peripheral CTA datasets-an overview

We describe the results of the literature review focused on the peripheral vessel segmentation in 3D medical datasets, acquired by computer tomography angiography (CTA) of the human leg. The fundamental aim of such a segmentation task is a robust method for the detection of main vessels in the leg that simultaneously preserves the vessel calcification (the sediment is called plaque) and allows localization of vessel narrowings (called stenoses). This segmentation has to be free from artifacts, i.e., without false detections of stenoses and without false omitting of any stenotic part. The paper collects seven methods applicable for vessel segmentation.

[1]  Carl-Fredrik Westin,et al.  Tissue Classification Based on 3D Local Intensity Structures for Volume Rendering , 2000, IEEE Trans. Vis. Comput. Graph..

[2]  Paul Suetens,et al.  Knowledge-based segmentation of subtraction angiograms , 1988 .

[3]  Armin Kanitsar,et al.  Advanced visualization techniques for vessel investigation , 2001 .

[4]  Guido Gerig,et al.  Structural description and combined 3D display for superior analysis of cerebral vascularity from MRA , 1994, Other Conferences.

[5]  Alejandro F. Frangi,et al.  Three-dimensional model-based stenosis quantification of the carotid arteries from contrast-enhanced MR angiography , 2000, Proceedings IEEE Workshop on Mathematical Methods in Biomedical Image Analysis. MMBIA-2000 (Cat. No.PR00737).

[6]  Max A. Viergever,et al.  Fast delineation and visualization of vessels in 3-D angiographic images , 2000, IEEE Transactions on Medical Imaging.

[7]  Guido Gerig,et al.  Symbolic Description of 3-D Structures Applied to Cerebral Vessel Tree Obtained from MR Angiography Volume Data , 1993, IPMI.

[8]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[9]  Riccardo Poli,et al.  Genetic algorithm-based interactive segmentation of 3D medical images , 1999, Image Vis. Comput..

[10]  Alejandro F. Frangi,et al.  Muliscale Vessel Enhancement Filtering , 1998, MICCAI.

[11]  Guy Marchal,et al.  Blood vessel segmentation and visualization in 3D MR and spiral CT angiography , 1995 .

[12]  G. Marchal,et al.  A knowledge-based system for the 3D-reconstruction of blood vessels from two angiographic projections , 1990 .

[13]  Cornelia Zahlten Beiträge zur mathematischen Analyse medizinischer Bild- und Volumendatensätze , 1995 .

[14]  William A. Barrett,et al.  Intelligent scissors for image composition , 1995, SIGGRAPH.

[15]  J. Debatin,et al.  Pelvic and lower extremity arterial imaging: diagnostic performance of three-dimensional contrast-enhanced MR angiography. , 2000, AJR. American journal of roentgenology.

[16]  Jayaram K. Udupa,et al.  An ultra-fast user-steered image segmentation paradigm: live wire on the fly , 2000, IEEE Transactions on Medical Imaging.

[17]  Alejandro F. Frangi,et al.  Model-based quantitation of 3-D magnetic resonance angiographic images , 1999, IEEE Transactions on Medical Imaging.

[18]  T. Lindeberg,et al.  Scale-Space Theory : A Basic Tool for Analysing Structures at Different Scales , 1994 .

[19]  A. B. Dobrzenieckiy,et al.  Segmentation of 3d Medical Images through Genetically-optimized Contour-tracking Algorithms , 1997 .

[20]  Guy Marchal,et al.  Knowledge-based 3-D segmentation of bloodvessels on a spatial sequence of MRI and Ultrasound images , 1989, Medical Imaging.

[21]  Guido Gerig,et al.  3D Multi-scale line filter for segmentation and visualization of curvilinear structures in medical images , 1997, CVRMed.

[22]  Jayaram K. Udupa,et al.  Ultrafast user-steered image segmentation paradigm: live-wire-on-the-fly , 1999, Medical Imaging.

[23]  Nicholas Ayache,et al.  Model-Based Detection of Tubular Structures in 3D Images , 2000, Comput. Vis. Image Underst..

[24]  G Valli,et al.  An algorithm for real-time vessel enhancement and detection. , 1997, Computer methods and programs in biomedicine.

[25]  Milan Sonka,et al.  Image Processing, Analysis and Machine Vision , 1993, Springer US.

[26]  E.E. Pissaloux,et al.  Image Processing , 1994, Proceedings. Second Euromicro Workshop on Parallel and Distributed Processing.