Скачать или смотреть Vessel Navigation and Tracing System

A Stent Placement is a common part of percutaneous coronary interventional procedures in which a guide wire equipped with a balloon or stent is delivered to the location of a target lesion. Typically performed by employing image guided X-ray fluoroscopy. In some cases, inaccurate placement of the stent results in blood clot formation and the need for delivering additional stent to cover the target stenosis. Developing real-time assistant systems for accurate navigation and localization of the therapeutic device could prove absolutely beneficial in increasing the success rate of the procedures as well as reducing the amount of contrast material to be injected into the patient's body. A real-time assistant system requires high performance analysis of the vessels in X-ray images and tracking the fast moving objects in frame sequences. This invention involves three stages. The first stage addressing the problem of accurate detection and quantification of multiple coronary lesions in a single X-ray image without any user interaction. The second stage improving the robustness of an existing centerline extraction algorithm to image noise and complex vessel geometry. Finally, the third stage enhancing the performance of marker-ball detection and stent localization in terms of accuracy and execution time. This system will helps physicians and cardiologists to avoid inaccurate placement of the stent during guide wire navigation procedure. Work done by Mr Farsad as his PhD research work. (sigcasc.blogspot.com)

Publication:
Farsad Zamani Boroujeni, Rahmita Wirza O.K. Rahmat, Norwati Mustapha, Lilly Suriani Affendey and Oteh Maskon, Automatic Selection of Initial points for Exploratory Vessel Tracing in Fluoroscopic Images, Defence Science Journal, Vol. 61, No. 5, pp 443-451, 2011.
Farsad Zamani Boroujeni, Rahmita Wirza, Oteh Maskon, Alireza Khosravi, and Majid Khalilian, An Improved Seed Point Detection Algorithm for Centerline Tracing in Coronary Angiograms, Proceeding of Seventh International Conference on Information Technology: New Generation, Las Vegas, Nevada, USA, pp 352-357, 12th -- 14th April 2010.
Farsad Zamani Boroujeni, Rahmita Wirza, Norwati Mustapha, Lilly Suriani Affendey, Oteh Maskon and Majid Khalilian, A New Tracing Algorithm for Automatic Boundary Extraction from Coronary Cineangiograms, (LNECS) International Multiconference of Engineers and Computer Scientist, (IMECS 17-19 March 2010, Hong Kong).

contact add:
Rahmita Wirza
Faculty of Computer Science and Information Technology
Universiti Putra Malaysia
Selangor, Serdang, 43400, UPM.
Malaysia