This paper presents a study conducted for evaluating different interpolation schemes, similarity metrics and optimization algorithms for the purpose of volumetric medical image registration. Each technique has been implemented to be plugged in a modular system. Rotation, translation and scale error has been measured to obtain a performance evaluation for all of the combinations of the considered techniques. Several experimental tests were conducted for validation both on synthetic and real datasets providing an exhaustive overview of the various strategies used.
Gallea, R., Pirrone, R., Ardizzone, E., Gambino, O. (2010). Medical Image Registration: interpolations, similarities and optimizations strategies. In Computer-Based Medical Systems (CBMS), 2010 IEEE 23rd International Symposium on (pp.72-77). Los Alamitos (CA) : IEEE Computer Society [10.1109/CBMS.2010.6042617].
Medical Image Registration: interpolations, similarities and optimizations strategies
GALLEA, Roberto;PIRRONE, Roberto;ARDIZZONE, Edoardo;GAMBINO, Orazio
2010-01-01
Abstract
This paper presents a study conducted for evaluating different interpolation schemes, similarity metrics and optimization algorithms for the purpose of volumetric medical image registration. Each technique has been implemented to be plugged in a modular system. Rotation, translation and scale error has been measured to obtain a performance evaluation for all of the combinations of the considered techniques. Several experimental tests were conducted for validation both on synthetic and real datasets providing an exhaustive overview of the various strategies used.File | Dimensione | Formato | |
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