Enhancing the compression performance in medical images using a novel hex-directional chain code (Hex DCC) representation

There is a significant necessity to compress the medical images for the purposes of communication and storage.Most currently available compression techniques produce an extremely high compression ratio with a high-quality loss. Inmedical applications, the diagnostically significant regions (interest region) should have a high image quality. Therefore, it ispreferable to compress the interest regions by utilizing the Lossless compression techniques, whilst the diagnostically lessersignificant regions (non-interest region) can be compressed by utilizing the Lossy compression techniques. In this paper, a hybridtechnique of Set Partition in Hierarchical Tree (SPIHT) and Bat inspired algorithms have been utilized for Lossless compressionthe interest region, and the non-interest region is loosely compressed with the Discrete Cosine Transform (DCT) technique.The experimental results present that the proposed hybrid technique enhances the compression performance and ratio. Also,the utilization of DCT increases compression performance with low computational complexity.

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Bit Plane Slicing, Wavelet and Polynomials Mixing for Image Compression

Iraqi Journal of Science ◽

10.24996/ijs.2019.60.11.22 ◽

2019 ◽

pp. 2497-2505

Author(s):

Rana Talib Al-Timimi

Keyword(s):

Wavelet Transform ◽

Image Compression ◽

Medical Images ◽

Hybrid Technique ◽

Lossless Image Compression ◽

Compression Performance ◽

High Compression ◽

Non Linear ◽

Bit Plane ◽

Bit Plane Slicing

This paper introduced a hybrid technique for lossless image compression of natural and medical images; it is based on integrating the bit plane slicing and Wavelet transform along with a mixed polynomial of linear and non linear base. The experiments showed high compression performance with fully grunted reconstruction.

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A Study on the Influence of Image Dynamics and Noise on the JPEG 2000 Compression Performance for Medical Images

Computer Vision Approaches to Medical Image Analysis - Lecture Notes in Computer Science ◽

10.1007/11889762_19 ◽

2006 ◽

pp. 214-224 ◽

Cited By ~ 1

Author(s):

Peter Michael Goebel ◽

Ahmed Nabil Belbachir ◽

Michael Truppe

Keyword(s):

Medical Images ◽

Jpeg 2000 ◽

Compression Performance

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MEDICAL IMAGE COMPRESSION USING JPEG-2000 AND JPEG: A COMPARISON STUDY

Journal of Mechanics in Medicine and Biology ◽

10.1142/s021951940200054x ◽

2002 ◽

Vol 02 (03n04) ◽

pp. 313-328 ◽

Cited By ~ 14

Author(s):

TICK HUI OH ◽

ROSLI BESAR

Keyword(s):

Medical Images ◽

Signal To Noise Ratio ◽

Jpeg 2000 ◽

Medical Field ◽

Compression Efficiency ◽

Compression Performance ◽

Opinion Score ◽

Quality Scale ◽

Magnetic Resonance Imaging Mri ◽

And Storage

Due to the constrained bandwidth and storage capacity, medical images must be compressed before transmission and storage. However, compression will reduce image fidelity, especially when the image is compressed of lower bit rate, which cannot be tolerated in medical field. In this paper, the compression performance of the new JPEG-2000 and the more conventional JPEG is studied. The parameters used for comparison include the compression efficiency, peak signal-to-noise ratio (PSNR), picture quality scale (PQS), and mean opinion score (MOS). Three types of medical images are used — X-ray, magnetic resonance imaging (MRI) and ultrasound. Overall, the study shows that JPEG-2000 compression is more acceptable and superior compare to JPEG for lossy compression.

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Editor’s Pick: Regulatory and Ethical Issues in the New Era of Radiomics and Radiogenomics

EMJ Radiology ◽

10.33590/emjradiol/19-00165 ◽

2020 ◽

Author(s):

Filippo Pesapane

Keyword(s):

Ethical Issues ◽

Medical Images ◽

Practical Significance ◽

Innovative Technology ◽

New Era ◽

Naked Eye ◽

Disease Characteristics ◽

The Future ◽

Using Data ◽

The Relationship

Radiomics is a science that investigates a large number of features from medical images using data-characterisation algorithms, with the aim to analyse disease characteristics that are indistinguishable to the naked eye. Radiogenomics attempts to establish and examine the relationship between tumour genomic characteristics and their radiologic appearance. Although there is certainly a lot to learn from these relationships, one could ask the question: what is the practical significance of radiogenomic discoveries? This increasing interest in such applications inevitably raises numerous legal and ethical questions. In an environment such as the technology field, which changes quickly and unpredictably, regulations need to be timely in order to be relevant. In this paper, issues that must be solved to make the future applications of this innovative technology safe and useful are analysed.

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