Within-modality registration using intensity-based cost functions
Handbook of medical imaging
Across-modality registration using intensity-based cost functions
Handbook of medical imaging
Digital Image Processing
Alignment by maximization of mutual information
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
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Surgery is an important option in the treatment of patients with medically intractable epilepsy. Traditional techniques for the localization of the epileptogenic zone (EZ), e.g. surface electroencephalography (EEG) and magnetic resonance (MR) imaging, allow accurate localization in a significant number of epileptic patients. Besides, in many situations, the single photon emission computed tomography (SPECT) images have played a very important role in EZ localization. However, the identification of the EZ based on the visual interpretation side-by-side of the ictal and periictal images is in general a difficult task. To improve SPECT analysis, computational techniques have been developed focusing on the registration and fusion of ictal and periictal SPECT images. The combination of image registration and subtraction of SPECT images can improve the selective detection of brain regions with functional activation during epileptic seizures. The proposed methodology shown high sensitivity to detect hyperperfusion higher than 10%, in this article we apresents the techniques implemented, the methodology used to test and some initial results obtained with our own developed software B.R.A.S.I.L. ("Brain Registration And Subtraction: Improved Localization for SPECT Analysis").