Paper
1 May 1992 Toward multidimensional medical image coding
Virginie Chameroy, Robert Di Paola
Author Affiliations +
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Virginie Chameroy and Robert Di Paola "Toward multidimensional medical image coding", Proc. SPIE 1653, Medical Imaging VI: Image Capture, Formatting, and Display, (1 May 1992); https://doi.org/10.1117/12.59505
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image compression

Medical imaging

Principal component analysis

Quantization

3D image processing

Image processing

Positron emission tomography

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