&lt;title&gt;Data Compression Techniques For CT Image Archival&lt;/title&gt;

Quinn, John F.; Rhodes, Mìchael L.; Rosner, Bruce

doi:10.1117/12.935983

Cited by 3 publications

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“… 25 – 29 The importance of databases 30 , 31 and radiology information system (RIS) functionality were noted as well as the need for standards 32 , 33 and studies of image quality. 34 Networking, 35 , 36 storage media 37 – 39 and the use of compression 40 , 41 were included. H.K.…”

Section: ’S Pacs Conferencesmentioning

confidence: 99%

SPIE Medical Imaging 50th anniversary: history of the Picture Archiving and Communication Systems Conference

Andriole

2022

J. Med. Imag.

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Section: ’S Pacs Conferencesmentioning

confidence: 99%

SPIE Medical Imaging 50th anniversary: history of the Picture Archiving and Communication Systems Conference

Andriole

2022

J. Med. Imag.

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High compression of nuclear medicine dynamic studies

Chameroy

Paola

1990

Int J Cardiac Imag

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As data compression plays now an important role in the development of medical PACS, a technique has been developed for medical image sequences storage and transmission in order to obtain very high compression ratio: in dynamic nuclear medicine studies it can achieve a compression ratio as high as 100:1 without significant degradation. The implemented technique combines two methods which multiply their effects. In a first step, a principal component analysis (PCA) of the image series is performed. It extracts a limited number of principal components and their associated images. For data compression it is not necessary to perform an oblique factor analysis to estimate the so-called 'physiological functions' and their spatial distributions as in factor analysis of dynamic structures (FADS). In a second step, the principal images are compressed by means of a transform coding procedure: an adaptive block-quantization technique using the 2D discrete cosine transform (DCT) is implemented, followed by a statistical quantization method to encode the DCT coefficients. To reconstruct the principal images, an inverse DCT is applied. Then the original series is computed from the reconstructed images combined with the principal components which have been stored without any modification. The reconstructed series is compared to the original series, as well as the time activity curves generated on different regions of interest (ROI) and the factor estimates obtained using FADS performed on the two series. Method and evaluation are illustrated on an example of first pass radionuclide angiocardiography.

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Locally Optimal Run-Length Compression Applied to CT Images

Rhodes¹,

Quinn²,

Silvester³

1985

IEEE Trans. Med. Imaging

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Run-length data compression techniques are described that preserve image content. After decompression, images are restored to their original state without loss in image gray scale or resolution. The first technique introduces terminology and illustrates a simple method for efficient picture archiving. It demonstrates the principle of run-length techniques. A second more general approach encodes picture information in a manner that adapts to local variation in pixel standard deviation. Among several options of compression formats, the one that delivers the best local compression is selected. Results of our compression techniques are given for several hundred computed tomography (CT) pictures with comparison to image entropy measures. A general solution to the optimal run-length compression of digital data is outlined. Routine application of the locally optimal method is also described.

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<title>Data Compression Techniques For CT Image Archival</title>

Cited by 3 publications

References 0 publications

SPIE Medical Imaging 50th anniversary: history of the Picture Archiving and Communication Systems Conference

SPIE Medical Imaging 50th anniversary: history of the Picture Archiving and Communication Systems Conference

High compression of nuclear medicine dynamic studies

Locally Optimal Run-Length Compression Applied to CT Images

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