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Proceedings Paper

Contrast enhancement maps for lung lesions imaged on CT
Author(s): Michael F. McNitt-Gray; Matthew S. Brown; Nathaniel Wyckoff; Jonathan G. Goldin; Robert Suh; Denise R. Aberle
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Paper Abstract

The purpose of this research was to use contrast enhanced spiral CT and image processing techniques to provide physiological information about the blood supply of lung lesions. This is useful for assessing solitary pulmonary nodules as well as evaluating treatment efficacy for lung cancer patients using tumor angiogenesis inhibition factors. A dynamic, contrast-enhanced spiral CT protocol was used to acquire a series of scans through the lesion both prior to contrast injection as well as at t equals 45, 90, 180 and 300 s post-injection. Lesion boundaries were then segmented for a single representative image at each time. After registration, the enhancement for each voxel was determined by subtracting the attenuation values of the pre-contrast reference voxels from the post-contrast values. Enhancement maps were then generated using these difference values. The mean and standard deviation enhancement values for each lesion were also measured. From preliminary analysis, the mean enhancement value was 100 plus or minus 24 HU for malignant lesions and 55 plus or minus 33 HU for benign lesions. Enhancement maps were generated and color-coded to demonstrate the variation of enhancement within lesions. This work presents preliminary results using contrast enhanced spiral CT imaging to detect differences between enhancing and non-enhancing lesions.

Paper Details

Date Published: 20 April 2000
PDF: 6 pages
Proc. SPIE 3978, Medical Imaging 2000: Physiology and Function from Multidimensional Images, (20 April 2000); doi: 10.1117/12.383442
Show Author Affiliations
Michael F. McNitt-Gray, Univ. of California/Los Angeles School of Medicine (United States)
Matthew S. Brown, Univ. of California/Los Angeles School of Medicine (United States)
Nathaniel Wyckoff, Univ. of California/Los Angeles School of Medicine (United States)
Jonathan G. Goldin, Univ. of California/Los Angeles School of Medicine (United States)
Robert Suh, Univ. of California/Los Angeles School of Medicine (United States)
Denise R. Aberle, Univ. of California/Los Angeles School of Medicine (United States)


Published in SPIE Proceedings Vol. 3978:
Medical Imaging 2000: Physiology and Function from Multidimensional Images
Chin-Tu Chen; Anne V. Clough, Editor(s)

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