Medical Image Registration: interpolations, similarities and optimizations strategies

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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.

R. Gallea, E. Ardizzone, R. Pirrone, O. Gambino

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CBMS 2010 | Medical Image Registration |

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Added	25 Oct 2010
Updated	25 Oct 2010
Type	Conference
Year	2010
Where	CBMS
Authors	R. Gallea, E. Ardizzone, R. Pirrone, O. Gambino

@inproceedings{cbms10imageregistration,

author = {Gallea, Roberto and Ardizzone, Edoardo and Pirrone, Roberto},

title = {Medical Image Registration: interpolations, similarities and optimizations strategies},

booktitle = {CBMS 2010 - IEEE International Symposium on Computer-Based Medical Systems},

year = {2010},

publisher = {IEEE Computer Society},

address = {Washington, DC, USA}

}

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Medical Image Registration: interpolations, similarities and optimizations strategies

CBMS 2010 | Medical Image Registration |

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