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Multi-modal Medical Images Registration Using Differential Geometry and the Hausdorff Distance by Fahad Hameed Ahmad; Sudha Natarajan is a Computer Science article available to read on EtoBox.

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Image Guided Interventions (IGI) has the potential to replace conventional open and invasive procedures. Such interventions also minimize damage to healthy tissue. Real-time 3D visualization of the problem area is now becoming a necessity for successful IGI. Real-time intra-operative imaging devices like multi-slice CT or 3D ultrasound are noisy and have low resolution, hence they must be compared with pre-operative high resolution images like MRI. Registering and comparing multi-modal images is inherently difficult due to the differences in visualization and the large number of missing features. A new deformable rigid body technique is presented that uses differential geometry based features and the Hausdorff similarity measure for rigid body sub-division registration. The differential geometry based features and the Hausdorff similarity measure are chosen because of their robustness to missing features and intensity variations. A translation deformation field is obtained that maps each pixel to a new location, followed by a cubic interpolator to obtain the registered image. Experimental results show that the new registration technique offers better accuracy and quality and is com

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Author

Fahad Hameed Ahmad; Sudha Natarajan

Publisher

Walter de Gruyter GmbH

Published

2010

Language

EN

Field

Computer Science (Physical Sciences)