Literature DB >> 18048155

A novel approach to medical image compression.

Matthew J Zukoski1, Terrance Boult, Tunç Iyriboz.   

Abstract

As medical/biological imaging facilities move towards complete film-less imaging, compression plays a key role. Although lossy compression techniques yield high compression rates, the medical community has been reluctant to adopt these methods, largely for legal reasons, and has instead relied on lossless compression techniques that yield low compression rates. The true goal is to maximise compression while maintaining clinical relevance and balancing legal risk. This paper proposes a novel model-based compression technique that makes use of clinically relevant regions as defined by radiologists. Lossless compression is used in these clinically relevant regions, and lossy compression is used everywhere else.

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Year:  2006        PMID: 18048155     DOI: 10.1504/IJBRA.2006.009195

Source DB:  PubMed          Journal:  Int J Bioinform Res Appl        ISSN: 1744-5485


  4 in total

1.  Data Curation for Preclinical and Clinical Multimodal Imaging Studies.

Authors:  Grace Gyamfuah Yamoah; Liji Cao; Chao Wu Wu; Freek J Beekman; Bert Vandeghinste; Julia G Mannheim; Stefanie Rosenhain; Kevin Leonardic; Fabian Kiessling; Felix Gremse
Journal:  Mol Imaging Biol       Date:  2019-12       Impact factor: 3.488

2.  Three-Dimensional Adaptive Image Compression Concept for Medical Imaging: Application to Computed Tomography Angiography for Peripheral Arteries.

Authors:  Guillaume Fahrni; David C Rotzinger; Chiaki Nakajo; Jamshid Dehmeshki; Salah Dine Qanadli
Journal:  J Cardiovasc Dev Dis       Date:  2022-04-27

3.  Exploring correlation information for image compression of four-dimensional computed tomography.

Authors:  Hui Yan; Yexiong Li; Jianrong Dai
Journal:  Quant Imaging Med Surg       Date:  2019-07

4.  Evaluation of video compression methods for cone-beam computerized tomography.

Authors:  Hui Yan; Yexiong Li; Jianrong Dai
Journal:  J Appl Clin Med Phys       Date:  2019-05-09       Impact factor: 2.102

  4 in total

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