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Proceedings Paper

Toward multidimensional medical image coding
Author(s): Virginie Chameroy; Robert Di Paola
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Paper Abstract

Acquisitions of 3-D (x,y,t) and 4-D (x,y,z,t) medical image sequences become usual, especially in the case of dynamic studies performed with modalities such as MRI, fast x-ray CT, or PET. It results in a significant increase of data volume and, consequently, the necessity, which is emphasized by the development of PACS, to reduce storage space and transmission bandwidth. A multidimensional image sequence coding method based on a multiple decorrelation scheme is presented. In a first step, an orthogonal transform, such as factor analysis (similar to discrete Karhunen-Loeve transform), is applied to decorrelate initial data according to temporal dimension. In a second step, the resulting orthogonal image sequences are decorrelated using a 3-D discrete cosine transform (DCT). The resulting dataset is quantized using an optimal Max quantizer. This irreversible coding is applied to MRI, fast x-ray CT, and PET image sequences. Its evaluation is performed using quantitative and observer independent methods taking into account the specificity of medical dynamic data.

Paper Details

Date Published: 1 May 1992
PDF: 12 pages
Proc. SPIE 1653, Medical Imaging VI: Image Capture, Formatting, and Display, (1 May 1992); doi: 10.1117/12.59505
Show Author Affiliations
Virginie Chameroy, INSERM U-66 (France)
Robert Di Paola, INSERM U-66 (France)

Published in SPIE Proceedings Vol. 1653:
Medical Imaging VI: Image Capture, Formatting, and Display
Yongmin Kim, Editor(s)

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