Within-modality registration using intensity-based cost functions
Handbook of medical imaging
Robot Vision
Video orbits of the projective group a simple approach to featureless estimation of parameters
IEEE Transactions on Image Processing
Fractal features for localization of temporal lobe epileptic foci using SPECT imaging
Computers in Biology and Medicine
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Accurate epileptic focus localization using single photon emission computed tomography (SPECT) images has proven to be a challenging endeavor. First, commonly used radiopharmaceuticals such as hexamethylpropylene amine oxime (HMPAO) quantitatively underestimate large blood flows, leading to subtracted SPECT images that do not reflect the true cerebral physiological conditions, and often display non-distinct epileptic foci. The proposed relative change subtraction method of SPECT image analysis helps alleviate this quantitative burden. Second, the image analysis process traditionally performed by physicians is time consuming and prone to error. Toward this end, an automated algorithm was designed to analyze SPECT images and provide feedback to users through a visual interface.