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Medical Image Registration Based on Similarity Measure and Feature Extraction

Publish Year: 1384
Type: Conference paper
Language: English
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ICBME12_003

Index date: 15 November 2012

Medical Image Registration Based on Similarity Measure and Feature Extraction abstract

Medicl images are increasingly being used in healthcare and medical research. There is, consequently, widespread interest in accurately relting information in the different images for diagnosis, treatment and basic science, In thes paper two automated registration algorithms is studied. First method is image registration based on extraction of the most well-known image features-edge and requires no future segmentation. Second method uses a new region-based similarity metric, which enables accurate registration of images of large contrast differences. Experimental results are presented to demonstrate that the algorithm is effective for aligning images from single or multiple imaging modalities without the use of any fiducial markers.

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Medical Image Registration Based on Similarity Measure and Feature Extraction authors

Sabalan Daneshvar

Department of Electrical Engineering, Tarbiat modares University

Hassan Ghassemian

Department of Electrical Engineering, Tarbiat modares University

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Derek L G Hill, et al, "Medical image Registration, " ...
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