ROI-based DICOM image compression for telemedicine

作     者：Bairagi, Vinayak K. Sapkal, Ashok M. 

作者机构：Sinhgad Acad Engn Dept Elect Engn Pune 411048 Maharashtra India Coll Engn Dept Elect Engn Pune 411005 Maharashtra India 

出 版 物：《SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES》 (Sadhana)

年 卷 期：2013年第38卷第1期

页      面：123-131页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 

基　　金：Pune University  Pune  India 

主　　题：DICOM image integer wavelet transform lossless compression medical image compression region-based coding telemedicine 

摘      要：Many classes of images contain spatial regions which are more important than other regions. Compression methods capable of delivering higher reconstruction quality for important parts are attractive in this situation. For medical images, only a small portion of the image might be diagnostically useful, but the cost of a wrong interpretation is high. Hence, Region Based Coding (RBC) technique is significant for medical image compression and transmission. Loss less compression schemes with secure transmission play a key role in telemedicine applications that help in accurate diagnosis and research. In this paper, we propose lossless scalable RBC for Digital Imaging and Communications in Medicine (DICOM) images based on Integer Wavelet Transform (IWT) and with distortion limiting compression technique for other regions in image. The main objective of this work is to reject the noisy background and reconstruct the image portions losslessly. The compressed image can be accessed and sent over telemedicine network using personal digital assistance (PDA) like mobile.