Arif Sameh Arif, R. Logeswaran, Sarina Mansor, Hezerul Abdul Karim
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引用次数: 5
Abstract
Enormous amounts of sequential medical images are produced in modern medical examinations, typically in Fluoroscopy. Although highly effective, such large quantities of images incur a high cost in terms of storage, processing time and transmission. This paper proposes a method for lossless compression of targeted parts within Fluoroscopy images, extracting the region of interest (ROI) - in this case the pharynx and esophagus, and employing customized correlation and the combination of Run Length and Huffman coding, to increase compression efficiency. The experimental results show that the proposed method improved performance with a compression ratio of 300% better than conventional methods.
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