Partially lossless compression of DICOM image sets

In this paper a new approach to the compression of DICOM image sets is presented. For this task, a specific image projection space is created by employing principal component analysis. A subset from the initial image set, which can include regions of interest, is selected and used in the projection...

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Detalles Bibliográficos
Autores principales: Gangl, S., Žalik, B.
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2011
Materias:
Ciencias Informáticas
Medical imaging
Image compression
ROI
DICOM
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/129085
Aporte de:SEDICI (UNLP) de Universidad Nacional de La Plata Ver origen
id I19-R120-10915-129085
record_format dspace
spelling I19-R120-10915-1290852021-12-09T13:33:08Z http://sedici.unlp.edu.ar/handle/10915/129085 issn:1853-1881 Partially lossless compression of DICOM image sets Gangl, S. Žalik, B. 2011-08 2011 2021-12-03T11:50:59Z en Ciencias Informáticas Medical imaging Image compression ROI DICOM In this paper a new approach to the compression of DICOM image sets is presented. For this task, a specific image projection space is created by employing principal component analysis. A subset from the initial image set, which can include regions of interest, is selected and used in the projection space creation. That way, these images can be reconstructed lossless, while the residual images are reconstructed with little loss of information. As shown by conducted experiments, the proposed method yields mean absolute errors below those of linear interpolation methods, yet at the same time achieves evidently higher compression ratios than compared image compression algorithms. Sociedad Argentina de Informática e Investigación Operativa Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 131 - 136
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Medical imaging
Image compression
ROI
DICOM
spellingShingle Ciencias Informáticas
Medical imaging
Image compression
ROI
DICOM
Gangl, S.
Žalik, B.
Partially lossless compression of DICOM image sets
topic_facet Ciencias Informáticas
Medical imaging
Image compression
ROI
DICOM
description In this paper a new approach to the compression of DICOM image sets is presented. For this task, a specific image projection space is created by employing principal component analysis. A subset from the initial image set, which can include regions of interest, is selected and used in the projection space creation. That way, these images can be reconstructed lossless, while the residual images are reconstructed with little loss of information. As shown by conducted experiments, the proposed method yields mean absolute errors below those of linear interpolation methods, yet at the same time achieves evidently higher compression ratios than compared image compression algorithms.
format Objeto de conferencia
Objeto de conferencia
author Gangl, S.
Žalik, B.
author_facet Gangl, S.
Žalik, B.
author_sort Gangl, S.
title Partially lossless compression of DICOM image sets
title_short Partially lossless compression of DICOM image sets
title_full Partially lossless compression of DICOM image sets
title_fullStr Partially lossless compression of DICOM image sets
title_full_unstemmed Partially lossless compression of DICOM image sets
title_sort partially lossless compression of dicom image sets
publishDate 2011
url http://sedici.unlp.edu.ar/handle/10915/129085
work_keys_str_mv AT gangls partiallylosslesscompressionofdicomimagesets
AT zalikb partiallylosslesscompressionofdicomimagesets
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