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Paper Title : A Novel Algorithm For Medical Image Compression In Telemedicines

ISSN : 2395-1303
Year of Publication : 2021
10.29126/23951303/IJET-V7I4P7

Authors: Ms. Shubhangi Pimpalzare, Dr. S S Mungona

         


Abstract
- Transferring medical images from one center to another is common use in telemedicine. These high-quality images stored in DICOM format require higher bandwidth in transmission and large storage space in PACS (Picture Archieving and Communication System) memory. Therefore reducing the image size for preserving diagnostic information has become a need. In this sense, medical image compression is technique that overcomes both transmission and storage cost by lossy and lossless compression algorithms. There are numerous compression methods developed for region-based studies generally used in radiography, computed tomography (CT) and magnetic resonance images (MRI). The use of digital medical images is increases very fast. Medical images like CT scan, ultrasound, dental X-ray etc, require large amounts of memory storage. Even to transmit an image over a wireless or LAN network could take more time. Due to this reason medical image compression is important. Related to medical images many compression methods are available. However, the lossless ( for diagnostic and legal reasons) techniques, which allows for perfect reconstruction of original image, yield compression rates of at most 2 only, while the techniques that yields higher compression rates are lossy. To meet this challenge, we have developed a hybrid compression schemes which is diagnostically lossless with good compression ratio. Due to it’s simplicity the hardware realization is also easy and not cost effective compare to JPEG method.

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Keywords
——— MSE(mean square error);PSNR(peak signal to noise ratio);COC(correlation coefficient);CR(compensation ratio); Huffman coding ;Delta coding ;CT scan images; Ultrasound images; Dental X- ray