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Computed tomography image compressibility and limitations of compression ratio-based guidelines

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Pambrun, Jean-François et Noumeir, Rita. 2015. « Computed tomography image compressibility and limitations of compression ratio-based guidelines ». Journal of Digital Imaging, vol. 28, nº 6. pp. 636-645.

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Noumeir R. 2015 9509 Computed tomography image compressibility.pdf - Accepted Version
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Abstract

Finding optimal compression levels for diagnostic imaging is not an easy task. Significant compressibility variations exist between modalities, but little is known about compressibility variations within modalities. Moreover, compressibility is affected by acquisition parameters. In this study, we evaluate the compressibility of thousands of computed tomography (CT) slices acquired with different slice thicknesses, exposures, reconstruction filters, slice collimations, and pitches. We demonstrate that exposure, slice thickness, and reconstruction filters have a significant impact on image compressibility due to an increased high frequency content and a lower acquisition signal-to-noise ratio. We also show that compression ratio is not a good fidelity measure. Therefore, guidelines based on compression ratio should ideally be replaced with other compression measures better correlated with image fidelity. Value-of-interest (VOI) transformations also affect the perception of quality. We have studied the effect of value-of-interest transformation and found significant masking of artifacts when window is widened.

Item Type: Peer reviewed article published in a journal
Professor:
Professor
Noumeir, Rita
Affiliation: Génie électrique
Date Deposited: 13 Apr 2015 19:31
Last Modified: 24 May 2016 16:21
URI: https://espace2.etsmtl.ca/id/eprint/9509

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