DocumentCode :
1793754
Title :
Parallel computation of mutual information in multicore environment & its applications in medical image registration
Author :
Saxena, Shanky ; Sharma, Shantanu ; Sharma, Neelam
Author_Institution :
Sch. of Biomed. Eng., Indian Inst. of Technol. (BHU), Varanasi, India
fYear :
2014
fDate :
7-8 Nov. 2014
Firstpage :
272
Lastpage :
277
Abstract :
Mutual information (MI) is the measure of amount of information containing by one random variable about another. It is an established similarity measure used for image registration. Calculation of mutual information is very computationally meticulous and time consuming at the time of computation of the immense images or at the time of processing with set of images. Main purpose of this research work is to propose a proficient method to compute mutual information used for image registration using parallel computing. This method is able to work with different numbers of threads to take all the benefits of the processors having multiple cores like core i3, core i5, core i7 after maintaining the synchronization between cores. Our experiment shows the significant speed up using easily available multi core architectures especially for core i7 processor. Another major purpose of this paper is to describe the application of the parallel computation of mutual information in image registration especially in the case of medical image registration like CT (Computed Tomography) - PET (Positron Emission Tomography) and Other modalities of Neuroimaging.
Keywords :
image registration; medical image processing; multi-threading; multiprocessing systems; parallel processing; CT; MI; PET; computed tomography; core i3 processor; core i5 processor; core i7 processor; cores synchronization; image processing; medical image registration; multicore architectures; multicore environment; multiple cores; mutual information; neuroimaging; parallel computation; parallel computing; positron emission tomography; random variable; similarity measure; threads; Biomedical imaging; Entropy; Image registration; Joints; Mutual information; Parallel processing; Program processors; CT; Core; Image Registration; Medical Imaging; Mutual Information; PET; Parallel Computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Medical Imaging, m-Health and Emerging Communication Systems (MedCom), 2014 International Conference on
Conference_Location :
Greater Noida
Print_ISBN :
978-1-4799-5096-6
Type :
conf
DOI :
10.1109/MedCom.2014.7006017
Filename :
7006017
Link To Document :
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