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An Approach for Diagnostically Lossless coding of Volumetric medical Data Based on Wavelet and Just-Noticeable-Distortion Model

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IETE JOURNAL OF RESEARCH 2023年第2期69卷 896-908页

作者： Chandrika, B. K. Aparna, P. Sumam David, S. Manipal Acad Higher Educ Manipal Inst Technol Manipal 576104 India Natl Inst Technol Karnataka Dept Elect & Commun Engn Surathkal India

This paper explores a technique for visually/diagnostically lossless coding in the wavelet domain to effectively compress the three-dimensional medical image data. The quantisation module based on Just Noticeable Distortion (JND) for wavelets guarantees the visual quality in the reconstructed data. This method has been further extended to present the Volume of Interest (VOI) based technique that enables to preserve the quality of the diagnostically significant VOI region. The proposed method tested on several datasets outperforms the state-of-the-art methods. Apart from the conventional quality metric, Human Visual System (HVS) based quality metrics are also used to evaluate the visual quality of the reconstructed image. A subjective and objective evaluation carried out for VOI based coder shows that the quality-compression needs of the medical community are well addressed.

关键词： Discrete wavelet transform Just noticeable distortion medical image coding MRI and CT images Visually lossless compression Volume of interest

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A novel chaotic encryption scheme based on efficient secret keys and confusion technique for confidential of DICOM images

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Informatics in Medicine Unlocked 2020年 20卷

作者： Mortajez, Sareh Tahmasbi, Marziyeh Zarei, Javad Jamshidnezhad, Amir Department of Health Information Technology School of Allied Medical Sciences Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran Department of Radiology Technology School of Allied Medical Sciences Ahvaz Jundishapur University of Medical Sciences Ahvaz Iran

This paper proposed a secure encryption scheme based on the chaotic system and periodic confusion strategy with dynamic secret keys to protect medical images. The proposed scheme can be applied to DICOM standard images which are generally employed in medical systems and applications. Firstly, secret keys are extract from the pixels' information of the medical image. Then, the positions of pixels are permuted based on periodic confusion strategy and pseudo-random sequences. Finally, permuted image pixels are coded based on sequences of logistic systems and the XOR operator. The performance of the presented encryption scheme was evaluated by several security analyses. The results assure the efficiency of the proposed schema, the NPCR and UACI are improved over 99.6% and 33.5% respectively, and entropy is reported close to 7.9994. The comparison with similar DICOM encryption algorithms is made. The analysis results confirm that our proposed encryption scheme meets the security requirements of medical images encryption and is capable of resisting the main cryptographic attacks. © 2020

关键词： Chaos medical image coding medical images Security of data

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medical image coding based on wavelet transform and distributed arithmetic coding

Medical image coding based on wavelet transform and distribu...

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23rd Chinese Control and Decision Conference

作者： Li Wenna Gao Yang Yi Yufeng Gao Liqun Northeastern Univ Sch Informat Sci & Engn Shenyang 110004 Peoples R China

ISBN: (纸本)9781424487363

image compression plays a crucial role in medical imaging, allowing efficient manipulation, storage, and transmission. Nevertheless, in medical applications the need to conserve the diagnostic validity of the image requires the use of lossless compression methods, producing low compression factors. In this paper, a novel near-lossless compression scheme is proposed here and yields significantly better compression rates. In this proposed method, base points, direction images and D-value images are obtained from RGB color wee image by transformation. Base points, direction images are encoded by binary coding, distributed arithmetic coding. Wavelet coefficients of D-value images are encoded by adaptive Huffman coding. As a result, high over all compression rates, better diagnostic image quality and improved performance parameters are obtained. The algorithm is tested on experimental medical images from different modalities and different body districts and results are reported.

关键词： medical image coding distributed arithmetic coding adaptive Huffman coding wavelet transform

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medical image coding based on wavelet transform and distributed arithmetic coding

Medical image coding based on wavelet transform and distribu...

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2011 Chinese Control and Decision Conference（CCDC）

作者： Li Wenna1,Gao Yang1,2,Yi Yufeng1,Gao Liqun1 1.School of information science and engineering,Northeastern University,Shenyang,1100042.Unit 65559,PLA,Benxi,117000

image compression plays a crucial role in medical imaging,allowing efficient manipulation,storage,and ***,in medical applications the need to conserve the diagnostic validity of the image requires the use of lossless compression methods,producing low compression *** this paper,a novel near-lossless compression scheme is proposed here and yields significantly better compression *** this proposed method,base points,direction images and D-value images are obtained from RGB color space image by *** points,direction images are encoded by binary coding,distributed arithmetic *** coefficients of D-value images are encoded by adaptive Huffman *** a result,high over all compression rates,better diagnostic image quality and improved performance parameters are *** algorithm is tested on experimental medical images from different modalities and different body districts and results are reported.

关键词： medical image coding distributed arithmetic coding adaptive Huffman coding wavelet transform

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Context based medical image coding with contextual set partitioning with improved active contours algorithm

Context based medical image coding with contextual set parti...

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The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

作者： Wenna Li Zhaohua Cui Liqun Gao School of Information Science and Engineering Northeastern University Shenyang China School of Info School of Information Science and Engineering Northeastern University Shenyang China

ISBN: (纸本)9781424472352

image compression plays a crucial role in medical imaging, allowing efficient manipulation, storage, and transmission. Nevertheless, in medical applications the need to conserve the diagnostic validity of the image requires the use of lossless compression methods, producing low compression factors. In this paper, a novel near-lossless compression scheme for context based coding is proposed here and yields significantly better compression rates. In this proposed method the object and the background are obtain using improved active contours with selective local or global segmentation image segmentation, and the contextual part of the image is encoded selectively on the high priority basis with a very low compression rate (high bpp) and the background of the image is separately encoded with a low priority and a high compression rate (low bpp) and they are recombined for the reconstruction of the image. As a result, high over all compression rates, better diagnostic image quality and improved performance parameters are obtained. The algorithm is tested on experimental medical images from different modalities and different body districts and results are reported.

关键词： medical image coding contextual set partitioning active contours wavelet transform

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3D-PMDC: A PARALLELIZED MORPHOLOGICAL WAVELET CODEC FOR 3D medical DATASETS AND TELERADIOLOGY APPLICATIONS

3D-PMDC: A PARALLELIZED MORPHOLOGICAL WAVELET CODEC FOR 3D M...

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18th IEEE International Conference on image Processing (ICIP)

作者： Signoroni, Alberto Pezzoni, Mario Leonardi, Riccardo Univ Brescia I-25121 Brescia Italy

ISBN: (纸本)9781457713033

Modern medical imaging modalities produce increasingly large datasets. This trend can be in contrast with the computation and transmission time requirements coming from critical teleradiology applications. Multidimensional image compression techniques can be considered as enabling solutions on condition that they are able to guarantee a suitable combination of rate- distortion and computational performance which fulfill all the application domain requirements. In this work, we present a parallel version of our 3D Embedded Morphological Dilation coding algorithm that allows a significant reduction of computation costs and the concurrent conservation of coding performance and of other relevant bitstream properties. A comparison with the recently released JPEG2000 part 10 (JP3D) standard put in evidence the value of the proposed solution, especially for teleradiology applications over heterogeneous networks.

关键词： medical image coding parallel computing wavelet coding morphology teleradiology JPEG2000 part 10

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Perceptually lossless medical image coding

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IEEE TRANSACTIONS ON medical IMAGING 2006年第3期25卷 335-344页

作者： Wu, D Tan, DM Baird, M DeCampo, J White, C Wu, HR Monash Univ Sch Comp Sci & Software Engn Melbourne Vic 3800 Australia Monash Univ Dept Med Imaging & Radiat Sci Melbourne Vic 3800 Australia So Hlth Monash Med Ctr Dept Diagnost Imaging Melbourne Vic 3168 Australia Monash Univ Sch Business Syst Clayton Vic 3800 Australia

A novel perceptually lossless coder is presented for the compression of medical images. Built on the JPEG 2000 coding framework, the heart of the proposed coder is a visual pruning function, embedded with, an advanced human vision model to identify and to remove visually insignificant/irrelevant information. The proposed coder offers the advantages of simplicity and modularity with bit-stream compliance. Current results have shown superior compression ratio gains over that of its information lossless counterparts without any visible distortion. In addition, a case study consisting of 31 medical experts ha shown that no perceivable difference of statistical significance exists between the original images and the images compressed by the proposed coder.

关键词： biomedical imaging double blind testing image coding just-not-noticeable- difference medical image coding perceptually lossless image coding 2-staged forced choice vision model

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Contextual encoding in uniform and adaptive mesh-based lossless compression of MR images

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IEEE TRANSACTIONS ON medical IMAGING 2005年第9期24卷 1199-1206页

作者： Srikanth, R Ramakrishnan, AG Dept Radiol Winston Salem NC 27157 USA Indian Inst Sci Dept Elect Engn Bangalore 560012 Karnataka India

We propose and evaluate a number of novel improvements to the mesh-based coding scheme for 3-D brain magnetic resonance images. This includes: 1) elimination of the clinically irrelevant background leading to meshing of only the brain part of the image;2) content-based (adaptive) mesh generation using spatial edges and optical flow between two consecutive slices;3) a simple solution for the aperture problem at the edges, where an accurate estimation of motion vectors is not possible;and 4) context-based entropy coding of the residues after motion compensation using affine transformations. We address only lossless coding of the images, and compare the performance of uniform and adaptive mesh-based schemes. The bit rates achieved (about 2 bits per voxel) by these schemes are comparable to those of the state-of-the-art three-dimensional (3-D) wavelet-based schemes. The mesh-based schemes have been shown to be effective for the compression of 3-D brain computed tomography data also. Adaptive mesh-based schemes perform marginally better than the uniform mesh-based methods, at the expense of increased complexity.

关键词： 3-D coding content-based mesh context-based modeling medical image coding volumetric image compression

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Segmentation-based multilayer diagnosis lossless medical image compression 05

Segmentation-based multilayer diagnosis lossless medical ima...

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Proceedings of the Pan-Sydney area workshop on Visual information processing

作者： Xin Bai Jesse S. Jin Dagan Feng The University of Sydney NSW Australia

ISBN: (纸本)9781920682187

Hospital and clinical environments are moving towards computerisation, digitisation and centralisation, resulting in prohibitive amounts of digital medical image data. Compression techniques are, therefore, essential in archival and communication of medical image. Although lossy compression yields much higher compression rates, the medical community has relied on lossless compression for legal and clinical reasons. In this paper, we propose a segmentation-based multilayer (SML) coding scheme for lossless medical image compression. A fully automatic unseeded region growing (URG) segmentation approach is used for extracting diagnostically important regions, i.e., the regions of interest (ROI), for multilayer lossless ROI compression with the efficient Barrows-Wheeler coding (BWC) and wavelet-based JPEG2000 coding. Our proposed SML compression scheme can provide efficient compression for various medical imaging data and offer potential advantages in content-based medical image retrieval and semantic progressive transmission in telemedicine.

关键词： region-based image processing medical image coding lossless compression segmentation

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Wavelet-based lossless compression of coronary angiographic images

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IEEE TRANSACTIONS ON medical IMAGING 1999年第3期18卷 272-281页

作者： Munteanu, A Cornelis, J Cristea, P Free Univ Brussels Elect & Informat Proc Dept B-1050 Brussels Belgium Univ Bucharest Digital Signal Proc Lab Bucharest 77206 Romania

The final diagnosis in coronary angiography has to be performed on a targe set of original images, Therefore, lossless compression schemes play a key role in medical database management and telediagnosis applications, This paper proposes a wavelet-based compression scheme that is able to operate in the lossless mode. The quantization module implements a new way of coding of the wavelet coefficients that is more effective than the classical zerotree coding, The experimental results obtained on a set of 20 angiograms show that the algorithm outperforms the embedded zerotree coder, combined with the integer wavelet transform, by 0.38 bpp, the set partitioning coder by 0.21 bpp, and the lossless JPEG coder by 0.71 bpp, The scheme is a good candidate for radiological applications such as teleradiology and picture archiving and communications systems (PACS's).

关键词： coronary angiography lifting scheme lossless compression medical image coding

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