Chapter title |
Real Time 3D Representation and Tracking of Guidewire for Image Guided Cardiovascular Interventions
|
---|---|
Chapter number | 14 |
Book title |
GeNeDis 2016
|
Published in |
Advances in experimental medicine and biology, October 2017
|
DOI | 10.1007/978-3-319-57348-9_14 |
Pubmed ID | |
Book ISBNs |
978-3-31-957347-2, 978-3-31-957348-9
|
Authors |
Rashid Mehmood, Naveed Iqbal, Abdullah Tahir, M. Mohsin Riaz, Rab Nawaz, Mehmood, Rashid, Iqbal, Naveed, Tahir, Abdullah, Riaz, M. Mohsin, Nawaz, Rab |
Abstract |
Visual tracking and 3D representation of guidewire in fluoroscopic image sequence for beating heart image guided interventions is very challenging task. The degraded image quality due to low dose fluoroscopy further complicates the problem. In this paper a robust guidewire tracking is proposed for mean shift algorithm using integrated colour, texture and depth features. The target colour, texture and depth features are encoded into gray level intensity histogram, filtered local binary pattern histogram and filtered local depth pattern histograms respectively. For depth features a 3D image acquisition system for C-Arm, X-Ray imaging system is simulated for real time three dimensional shape recovery of guidewire and associated vessels for vertical beating heart motion using shape from focus technique. The proposed technique provides 3D visualization of guide wire and vessels to the physician as well as real time robust guidewire tip tracking. Experimental results of guidewire tip tracking and 3D shape recovery on image sequence acquired through beating heart simulated phantom show the significance of the proposed technique. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 2 | 20% |
Student > Bachelor | 1 | 10% |
Other | 1 | 10% |
Student > Master | 1 | 10% |
Student > Ph. D. Student | 1 | 10% |
Other | 0 | 0% |
Unknown | 4 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 20% |
Business, Management and Accounting | 1 | 10% |
Chemistry | 1 | 10% |
Medicine and Dentistry | 1 | 10% |
Unknown | 5 | 50% |