Abstract—Hospitals and medical centers produce a tremendous amount of sequential images for medical examinations such as MRI, CT and Fluoroscopy. This series of images takes up a large amount of storage space, in addition to the cost and time incurred during transmission. For medical data, lossless compression is preferable to the greater gains of lossy compression, in the interest of reliability. This paper proposes a new method for lossless compression of pharynx and esophagus fluoroscopy images, depending on correlation and combination of Run Length and Huffman. Otherwise, the shifted images moved to a shifted group and compress separately. From the experimental results obtained, the proposed method achieved improved performance with a compression ratio of 12.2 for the proposed combination of Run-length and Huffman coding (R. Huff) on the difference images as compared to 1.35 for the standard method.

Index Terms—Fluoroscopy, ROI, lossless image compression, run-length coding, huffman coding, correlation.

The authors are with Faculty of Engineering, Multimedia University, 63100 Cyberjaya, Selangor, Malaysia (email: sarina.mansor@mmu.edu.my).

 

Cite:Arif Sameh Arif, Sarina Mansor, Rajasvaran Logeswaran, and Hezerul Abdul Karim, "Lossless Compression of Pharynx and Esophagus in Fluoroscopic Medical Images," International Journal of Bioscience, Biochemistry and Bioinformatics vol. 3, no. 5, pp. 483-487, 2013.