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:
ROI
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/129085
Aporte de:SEDICI (UNLP) de Universidad Nacional de La Plata Ver origen
Descripción
Sumario: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.