Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/779
Title: Real-time parallelized hybrid median filter for speckle removal in ultrasound images
Authors: Ayoubi, Randa
Bayoumi, Magdy A.
Ayoubi, Rafic 
Affiliations: Department of Computer Engineering 
Keywords: Biomedical ultrasonics
Median filters
Medical image processing
Subjects: Speckle
Field programmable gate arrays
Issue Date: 2014
Publisher: IEEE
Part of: Signal and Information Processing (GlobalSIP), IEEE Global Conference on 2014
Conference: IEEE Global Conference on Signal and Information Processing (GlobalSIP) (3-5 Dec 2014 : Atlanta, GA, USA) 
Abstract: 
Medical Imaging has historically been very successful to expose the patient's anatomy beyond external visibility; thus, allowing more efficient and accurate treatments. The field of medicine continues to search for new techniques in order to increase accuracy, reduce complications, enable real-time feedback, allow early detection and reduce human errors. Various medical imaging techniques exist but suffer from multiple correlated noise or performance that hinders real-time application; ie, ultrasounds. Our contribution attempts to solve both of these problems efficiently to be enable real-time procedures Our work is based on the hybrid median filter. We implemented Parallelized Hybrid Median Filter on FPGA Virtex6 in order to be able to exploit parallelism and real-time capabilities. We were able to get the desirable visual results for experts at 382MHz frequency with 150μs completion time for full 512×512 ultrasound image to complete despeckle.
URI: https://scholarhub.balamand.edu.lb/handle/uob/779
Ezproxy URL: Link to full text
Type: Conference Paper
Appears in Collections:Department of Computer Engineering

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