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Proceedings Paper

Results of wavelet image compression on CT-based clinical radiation oncology treatment planning
Author(s): Charles L. Smith; Wei-Kom Chu; Randy Wobig; Hong-Yang Chao; Charles Enke
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Paper Abstract

Computed Tomography (CT) images have become an essential element in the derivation of a clinical radiation oncology treatment plan. The intent of this study was to assess how wavelet compression influences calculated dose distribution in radiotherapy treatment planning due to changes in pixel values in the CT. Chest CT images for radiotherapy were put into a 2D wavelet compression engine and compressed to a ratio of 30:1. A radiotherapy treatment plan was constructed to generate a dose distribution within the CT image. Images subjected to compression were analyzed using Dose Volume Histograms (DVHs) and compared to the DVHs generated for the uncompressed chest CT. The lossy wavelet compression operation irreversibly changes pixel values in the CT. These changes in the CT can give rise to errors in the dose calculations performed by treatment planning systems that account for tissue inhomogeneities in the image. The DVHs for 30:1 compression using this wavelet engine were highly similar to the DVHs obtained using the uncompressed image. A paired comparison test was used to compare the DVH data. Image compression of CT for radiation therapy treatment planning results in changes in the dose distribution within the patient.

Paper Details

Date Published: 21 May 1999
PDF: 11 pages
Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); doi: 10.1117/12.348509
Show Author Affiliations
Charles L. Smith, Univ. of Nebraska Medical Ctr. (United States)
Wei-Kom Chu, Univ. of Nebraska Medical Ctr. (United States)
Randy Wobig, Univ. of Nebraska Medical Ctr. (United States)
Hong-Yang Chao, Infinop, Inc. (United States)
Charles Enke, Univ. of Nebraska Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 3661:
Medical Imaging 1999: Image Processing
Kenneth M. Hanson, Editor(s)

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