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Literature DB >> 16170556

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

Hugo A F Gratama van Andel¹, Erik Meijering, Aad van der Lugt, Henri A Vrooman, Cecile de Monyé, Rik Stokking.

Abstract

The aim of the study was to evaluate a new method for automated definition of a center lumen line in vessels in cardiovascular image data. This method, called VAMPIRE, is based on improved detection of vessel-like structures. A multiobserver evaluation study was conducted involving 40 tracings in clinical CTA data of carotid arteries to compare VAMPIRE with an established technique. This comparison showed that VAMPIRE yields considerably more successful tracings and improved handling of stenosis, calcifications, multiple vessels, and nearby bone structures. We conclude that VAMPIRE is highly suitable for automated definition of center lumen lines in vessels in cardiovascular image data.

Mesh：

Year: 2005 PMID： 16170556 DOI： 10.1007/s00330-005-2854-2

Source DB: PubMed Journal: Eur Radiol ISSN： 0938-7994 Impact factor: 5.315

24 in total

1. Evaluation of an improved technique for lumen path definition and lumen segmentation of atherosclerotic vessels in CT angiography.

Authors: Evert F S van Velsen; Wiro J Niessen; Thomas T de Weert; Cécile de Monyé; Aad van der Lugt; Erik Meijering; Rik Stokking
Journal: Eur Radiol Date: 2006-11-01 Impact factor: 5.315

1 in total

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

1. Vessel extraction in medical images by wave-propagation and traceback.

2. An ultra-fast user-steered image segmentation paradigm: live wire on the fly.

Review 3. Data explosion: the challenge of multidetector-row CT.

4. CURVES: curve evolution for vessel segmentation.

5. Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction.

Review 6. Techniques for performing multidetector-row computed tomographic angiography.

7. Evaluation of center-line extraction algorithms in quantitative coronary angiography.

8. 3D MRA coronary axis determination using a minimum cost path approach.

9. Removal of bone in CT angiography of the cervical arteries by piecewise matched mask bone elimination.

10. Design of steerable filters for feature detection using canny-like criteria.

1. Evaluation of an improved technique for lumen path definition and lumen segmentation of atherosclerotic vessels in CT angiography.