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High-Throughput Lossy-to-Lossless 3D Image Compression


Rossinelli, Diego; Fourestey, Gilles; Schmidt, Felix; Busse, Bjorn; Kurtcuoglu, Vartan (2021). High-Throughput Lossy-to-Lossless 3D Image Compression. IEEE Transactions on Medical Imaging, 40(2):607-620.

Abstract

The rapid increase in medical and biomedical image acquisition rates has opened up new avenues for image analysis, but has also introduced formidable challenges. This is evident, for example, in selective plane illumination microscopy where acquisition rates of about 1-4 GB/s sustained over several days have redefined the scale of I/O bandwidth required by image analysis tools. Although the effective bandwidth could, principally, be increased by lossy-to-lossless data compression, this is of limited value in practice due to the high computational demand of current schemes such as JPEG2000 that reach compression throughput of one order of magnitude below that of image acquisition. Here we present a novel lossy-to-lossless data compression scheme with a compression throughput well above 4 GB/s and compression rates and rate-distortion curves competitive with those achieved by JPEG2000 and JP3D.

Abstract

The rapid increase in medical and biomedical image acquisition rates has opened up new avenues for image analysis, but has also introduced formidable challenges. This is evident, for example, in selective plane illumination microscopy where acquisition rates of about 1-4 GB/s sustained over several days have redefined the scale of I/O bandwidth required by image analysis tools. Although the effective bandwidth could, principally, be increased by lossy-to-lossless data compression, this is of limited value in practice due to the high computational demand of current schemes such as JPEG2000 that reach compression throughput of one order of magnitude below that of image acquisition. Here we present a novel lossy-to-lossless data compression scheme with a compression throughput well above 4 GB/s and compression rates and rate-distortion curves competitive with those achieved by JPEG2000 and JP3D.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Physiology
07 Faculty of Science > Institute of Physiology
Dewey Decimal Classification:570 Life sciences; biology
610 Medicine & health
Scopus Subject Areas:Physical Sciences > Software
Health Sciences > Radiological and Ultrasound Technology
Physical Sciences > Computer Science Applications
Physical Sciences > Electrical and Electronic Engineering
Uncontrolled Keywords:Electrical and Electronic Engineering, Radiological and Ultrasound Technology, Software, Computer Science Applications
Language:English
Date:1 February 2021
Deposited On:17 Feb 2022 07:32
Last Modified:24 Feb 2024 02:49
Publisher:Institute of Electrical and Electronics Engineers
ISSN:0278-0062
OA Status:Closed
Publisher DOI:https://doi.org/10.1109/tmi.2020.3033456
PubMed ID:33095708
Project Information:
  • : FunderSNSF
  • : Grant ID205321_182683
  • : Project TitleCraniospinal compliance by electric capacitance: Paradigm shift through non-invasive acquisition
  • : FunderSNSF
  • : Grant ID205321_153523
  • : Project TitleHR-Kidney - High Resolution 3D Functional Anatomy Database of the Kidney
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