DocumentCode :
3540404
Title :
An improved active contour medical image compression technique with lossless region of interest
Author :
Loganathan, Ramesh ; Kumaraswamy, Y.S.
Author_Institution :
Dept. of CSE, Sathyabama Univ., Chennai, India
fYear :
2011
fDate :
8-9 Dec. 2011
Firstpage :
128
Lastpage :
132
Abstract :
Digital medical images like X-Ray, Magnetic Resonance Imaging (MRI), Ultrasound, Computed Tomography (CT) are extensively used in diagnosis. The ease of storing and transmission of digital medical images is a boon to patients and medical professionals. Due to the large volume of images, image compression is required to accomplish fast and efficient transmission and reduction in storage space of medical images. Compression techniques used are very important while compressing digital medical images as the region of interest for diagnosis is generally small when compared to the whole image captured. Lossless compression techniques compress with no data loss but have low compression rate and lossy compression techniques can compress at high compression ratio but with a slight loss of data. Using lossless techniques in medical image does not give enough advantage in transmission and storage and lossy techniques may lose crucial data required for diagnosis. To maximize compression, in this paper it is proposed to investigate multiple compression techniques based on Region of Interest (ROI). In this paper a novel active contour method is proposed which is adaptive and marks the ROI without edges. The marked area of ROI is compressed using lossless compression and the other areas of the image are compressed using lossy wavelet compression techniques. The proposed procedure when applied on diverse MRI images, achieved an overall compression ratio of 69-81% without loss in the originality of ROI.
Keywords :
biomedical MRI; data compression; image coding; medical image processing; MRI images; active contour medical image compression technique; computed tomography; digital medical images; lossless compression techniques; lossless region of interest; lossy wavelet compression techniques; magnetic resonance imaging; ultrasound; x-ray; Image coding; Magnetic analysis; Magnetic resonance imaging; Medical diagnostic imaging; Propagation losses; Transforms; MRI; Medical images; active contour; image compression; region of interest;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Trendz in Information Sciences and Computing (TISC), 2011 3rd International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-0134-3
Type :
conf
DOI :
10.1109/TISC.2011.6169098
Filename :
6169098
Link To Document :
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