Designing Image Operators for MRI-PET Image Fusion of the Brain
- Laboratorio de Analisis de Imagenes y Visualizacion, CCADET- UNAM, CP 04510, DF (Mexico)
Our goal is to obtain images combining in a useful and precise way the information from 3D volumes of medical imaging sets. We address two modalities combining anatomy (Magnetic Resonance Imaging or MRI) and functional information (Positron Emission Tomography or PET). Commercial imaging software offers image fusion tools based on fixed blending or color-channel combination of two modalities, and color Look-Up Tables (LUTs), without considering the anatomical and functional character of the image features. We used a sensible approach for image fusion taking advantage mainly from the HSL (Hue, Saturation and Luminosity) color space, in order to enhance the fusion results. We further tested operators for gradient and contour extraction to enhance anatomical details, plus other spatial-domain filters for functional features corresponding to wide point-spread-function responses in PET images. A set of image-fusion operators was formulated and tested on PET and MRI acquisitions.
- OSTI ID:
- 20888217
- Journal Information:
- AIP Conference Proceedings, Vol. 854, Issue 1; Conference: 9. Mexican symposium on medical physics, Guadalajara, Jal. (Mexico), 18-21 Mar 2006; Other Information: DOI: 10.1063/1.2356412; (c) 2006 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
- Country of Publication:
- United States
- Language:
- English
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