Literature DB >> 10909928

Fast delineation and visualization of vessels in 3-D angiographic images.

O Wink1, W J Niessen, M A Viergever.   

Abstract

A method is presented which aids the clinician in obtaining quantitative measures and a three-dimensional (3-D) representation of vessels from 3-D angiographic data with a minimum of user interaction. Based on two user defined starting points, an iterative procedure tracks the central vessel axis. During the tracking process, the minimum diameter and a surface rendering of the vessels are computed, allowing for interactive inspection of the vasculature. Applications of the method to CTA, contrast enhanced (CE)-MRA and phase contrast (PC)-MRA images of the abdomen are shown. In all applications, a long stretch of vessels with varying width is tracked, delineated, and visualized, in less than 10 s on a standard clinical workstation.

Mesh:

Year:  2000        PMID: 10909928     DOI: 10.1109/42.848184

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  13 in total

1.  A fast and fully automatic method for cerebrovascular segmentation on time-of-flight (TOF) MRA image.

Authors:  Xin Gao; Yoshikazu Uchiyama; Xiangrong Zhou; Takeshi Hara; Takahiko Asano; Hiroshi Fujita
Journal:  J Digit Imaging       Date:  2011-08       Impact factor: 4.056

2.  Depth-map-based scene analysis for active navigation in virtual angioscopy.

Authors:  P Haigron; M E Bellemare; O Acosta; C Göksu; C Kulik; K Rioual; A Lucas
Journal:  IEEE Trans Med Imaging       Date:  2004-11       Impact factor: 10.048

3.  Evaluation of an improved technique for automated center lumen line definition in cardiovascular image data.

Authors:  Hugo A F Gratama van Andel; Erik Meijering; Aad van der Lugt; Henri A Vrooman; Cecile de Monyé; Rik Stokking
Journal:  Eur Radiol       Date:  2005-09-17       Impact factor: 5.315

4.  Coronary vessel trees from 3D imagery: a topological approach.

Authors:  Andrzej Szymczak; Arthur Stillman; Allen Tannenbaum; Konstantin Mischaikow
Journal:  Med Image Anal       Date:  2006-06-22       Impact factor: 8.545

5.  Segmentation of arteries in MPRAGE images of the ventral medial prefrontal cortex.

Authors:  N Penumetcha; B Jedynak; M Hosakere; E Ceyhan; K N Botteron; J T Ratnanather
Journal:  Comput Med Imaging Graph       Date:  2007-10-26       Impact factor: 4.790

6.  A non-parametric vessel detection method for complex vascular structures.

Authors:  Xiaoning Qian; Matthew P Brennan; Donald P Dione; Wawrzyniec L Dobrucki; Marcel P Jackowski; Christopher K Breuer; Albert J Sinusas; Xenophon Papademetris
Journal:  Med Image Anal       Date:  2008-06-14       Impact factor: 8.545

7.  An improved spatial tracking algorithm applied to coronary veins into Cardiac Multi-Slice Computed Tomography volume.

Authors:  M P Garcia; C Toumoulin; M Garreau; C Kulik; D Boulmier; C Leclercq
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2008

8.  Improved centerline tree detection of diseased peripheral arteries with a cascading algorithm for vascular segmentation.

Authors:  Kristína Lidayová; Hans Frimmel; Ewert Bengtsson; Örjan Smedby
Journal:  J Med Imaging (Bellingham)       Date:  2017-04-28

9.  Moment-based texture segmentation of luminal contour in intravascular ultrasound images.

Authors:  Esmeraldo Dos Santos Filho; Makoto Yoshizawa; Akira Tanaka; Yoshifumi Saijo; Takahiro Iwamoto
Journal:  J Med Ultrason (2001)       Date:  2005-09       Impact factor: 1.314

10.  Image-based assessment of uncertainty in quantification of carotid lumen.

Authors:  Lilli Kaufhold; Andreas Harloff; Christian Schumann; Axel J Krafft; Juergen Hennig; Anja Hennemuth
Journal:  J Med Imaging (Bellingham)       Date:  2018-09-24
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