کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
384892 660855 2012 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An information-theoretic method for multimodality medical image registration
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
An information-theoretic method for multimodality medical image registration
چکیده انگلیسی

In this paper, an information-theoretic approach for multimodal image registration is presented. In the proposed approach, image registration is carried out by maximizing a Tsallis entropy-based divergence using a modified simultaneous perturbation stochastic approximation algorithm. This divergence measure achieves its maximum value when the conditional intensity probabilities of the transformed target image given the reference image are degenerate distributions. Experimental results are provided to demonstrate the registration accuracy of the proposed approach in comparison to existing entropic image alignment techniques. The feasibility of the proposed algorithm is demonstrated on medical images from magnetic resonance imaging, computer tomography, and positron emission tomography.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 39, Issue 5, April 2012, Pages 5548–5556
نویسندگان
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