&lt;title&gt;Performance analysis of algorithms for retrieval of magnetic resonance images for interactive teleradiology&lt;/title&gt;

Atkins, M. Stella; Hwang, Robert R.; Tang, Simon

doi:10.1117/12.428114

Cited by 2 publications

(2 citation statements)

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“…A new Shape Adaptive Integer Wavelet Transform (SAIWT) based progressive transmission coding scheme for 2-D and 3-D MRI was proposed by [13]. Reference [14] implemented a prototype system consisting of Java based image viewer and a web server extension component for transmitting MRI's to an image viewer. Set Partitioning in Hierarchical Trees (SPHIT) image compression algorithm was used by [14] for compression and decompression and analysis of the performance of the SPHIT image compression algorithm in a tele-radiology application were done.…”

Section: Related Workmentioning

confidence: 99%

“…Reference [14] implemented a prototype system consisting of Java based image viewer and a web server extension component for transmitting MRI's to an image viewer. Set Partitioning in Hierarchical Trees (SPHIT) image compression algorithm was used by [14] for compression and decompression and analysis of the performance of the SPHIT image compression algorithm in a tele-radiology application were done. Reference [15] scanned 4 pixels of the corners in one code block, and then based on the information, scanned the edges from the corners to get the boundaries of ROI and background.…”

Section: Related Workmentioning

confidence: 99%

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Entropy maximization based segmentation, transmission and Wavelet Fusion of MRI images

Bhattacharjee

Chanda

et al. 2013

HIS

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A method of progressive transmission of Magnetic Resonance Image with lesions over long distances is proposed. The Magnetic Resonance Images at the transmitter end are segregated on the basis of presence of lesions. Entropy Maximization using Hybrid Particle Swarm Optimization algorithm that incorporates a Wavelet theory based mutation operation is used for segmentation of Magnetic Resonance Images. It applies the Multi-resolution Wavelet theory to overcome the stagnation phenomena of the Particle Swarm Optimization. Thus the segmentation algorithm using Hybrid Particle Swarm Algorithm explores the solution space more effectively for a better solution. Varying percentages of Discrete Cosine Transform coefficients of segmented Magnetic Resonance Images are used for progressive image transmission. For a particular image data, the progressively received images are of different resolutions. At the receiver's end the progressively received images of different resolutions are fused using Multi-resolution wavelet analysis to get a visually suitable image for diagnosis. The doctor or a radiologist identifies a particular class of image with lesions and may ask for the entire un-segmented Magnetic Resonance Image dataset of a particular patient for further diagnosis. The proposed system helps to reduce the load on the system by choosing not to transmit the Magnetic Resonance Images without lesions.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%