Literature DB >> 28141538

High Bit-Depth Medical Image Compression With HEVC.

Saurin S Parikh, Damian Ruiz, Hari Kalva, Gerardo Fernandez-Escribano, Velibor Adzic.   

Abstract

Efficient storing and retrieval of medical images has direct impact on reducing costs and improving access in cloud-based health care services. JPEG 2000 is currently the commonly used compression format for medical images shared using the DICOM standard. However, new formats such as high efficiency video coding (HEVC) can provide better compression efficiency compared to JPEG 2000. Furthermore, JPEG 2000 is not suitable for efficiently storing image series and 3-D imagery. Using HEVC, a single format can support all forms of medical images. This paper presents the use of HEVC for diagnostically acceptable medical image compression, focusing on compression efficiency compared to JPEG 2000. Diagnostically acceptable lossy compression and complexity of high bit-depth medical image compression are studied. Based on an established medically acceptable compression range for JPEG 2000, this paper establishes acceptable HEVC compression range for medical imaging applications. Experimental results show that using HEVC can increase the compression performance, compared to JPEG 2000, by over 54%. Along with this, a new method for reducing computational complexity of HEVC encoding for medical images is proposed. Results show that HEVC intra encoding complexity can be reduced by over 55% with negligible increase in file size.

Mesh:

Year:  2017        PMID: 28141538     DOI: 10.1109/JBHI.2017.2660482

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  5 in total

1.  Data compression and improved registration for laser speckle contrast imaging of rodent brains.

Authors:  Dene Ringuette; Jacob Nauenberg; Philippe P Monnier; Peter L Carlen; Ofer Levi
Journal:  Biomed Opt Express       Date:  2018-10-19       Impact factor: 3.732

2.  COMPUTATIONAL 2D and 3D MEDICAL IMAGE DATA COMPRESSION MODELS.

Authors:  S Boopathiraja; V Punitha; P Kalavathi; V B Surya Prasath
Journal:  Arch Comput Methods Eng       Date:  2021-05-07       Impact factor: 7.302

3.  Analysis of DICOM Image Compression Alternative Using Huffman Coding.

Authors:  Romi Fadillah Rahmat; T S M Andreas; Fahmi Fahmi; Muhammad Fermi Pasha; Mohammed Yahya Alzahrani; Rahmat Budiarto
Journal:  J Healthc Eng       Date:  2019-06-17       Impact factor: 2.682

4.  Implementation and Evaluation of Vision-Based Sensor Image Compression for Close-Range Photogrammetry and Structural Health Monitoring.

Authors:  Luna Ngeljaratan; Mohamed A Moustafa
Journal:  Sensors (Basel)       Date:  2020-11-30       Impact factor: 3.576

5.  Near Lossless Compression for 3D Radiological Images Using Optimal Multilinear Singular Value Decomposition (3D-VOI-OMLSVD).

Authors:  S Boopathiraja; P Kalavathi; S Deoghare; V B Surya Prasath
Journal:  J Digit Imaging       Date:  2022-08-29       Impact factor: 4.903

  5 in total

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