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Since the heart disease is a leading cause of death world-wide currently, researchers keep trying to explore and develop innovative solutions to reduce the threat. Both pre-operative planning and intra-operative navigation are becoming routine practice in many surgeries. However to date, practical integrated solutions for heart in routine clinical practice are still missing; insufficient technology to accurately know the shape of the heart is one of them. The segmentation of an object (heart) provides adequate information about its shape and size. There are a number of algorithms in the field…mehr

Produktbeschreibung
Since the heart disease is a leading cause of death world-wide currently, researchers keep trying to explore and develop innovative solutions to reduce the threat. Both pre-operative planning and intra-operative navigation are becoming routine practice in many surgeries. However to date, practical integrated solutions for heart in routine clinical practice are still missing; insufficient technology to accurately know the shape of the heart is one of them. The segmentation of an object (heart) provides adequate information about its shape and size. There are a number of algorithms in the field of segmentation and simultaneously, there is also an increased rate of inconsistency in discriminating objects in cardiac MR images due to increasing disease varieties; therefore, it has been a challenging topic of research since last two decades.
Autorenporträt
He received his Ph.D. in the area of Medical Image Processing in Indian Institute of Technology Guwahati. His research interests include almost all aspects of Cardiac MRI with a special emphasis on image segmentation. Currently he is working as R&D Executive in Qatar Robotic Surgery Centre, Qatar Sc. & Tech. Park, Qatar Foundation.