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Your search keyword '"Scifo, P."' showing total 8 results
Start Over Author "Scifo, P." Journal neuroimage
8 results on '"Scifo, P."'

6. Matching a Computerized Brain Atlas to Multimodal Medical Images

Author

Valentino Bettinardi, P. Scifo, Sergio Cerutti, F. Fazio, Giovanna Rizzo, F. Grassi, M. C. Gilardi, Rizzo, G, Scifo, P, Gilardi, M, Bettinardi, V, Grassi, F, Cerutti, S, and Fazio, F

Subjects
Computer science, Cognitive Neuroscience, Mri studies, Edge detection, Atlases as Topic, MRI, PET, SPET, Alzheimer Disease, Atlas (anatomy), Image Processing, Computer-Assisted, medicine, Humans, Computer vision, Image warping, Receptors, Dopamine D2, business.industry, Brain atlas, Brain, Parkinson Disease, Magnetic Resonance Imaging, Neostriatum, Glucose, medicine.anatomical_structure, Neurology, Artificial intelligence, business, Algorithms, Tomography, Emission-Computed
Abstract

A method for matching a digital brain anatomical atlas to multimodal medical images (MRI, PET, and SPET) was implemented. The digital atlas was derived from anatomical templates of the brain, cut according to the orbitomeatal orientation. The atlas consists of a set of contiguous slices schematically describing the brain as anatomical contours and of a set of regions of interest (ROIs) classifying the brain into functionally homogeneous areas. The matching procedure includes (a) an edge detection method for the extraction of anatomical contours and (b) a warping algorithm based on contour matching to fit the atlas to the individual brain anatomy, as described by MRI. Once the atlas is matched to MRI, the associated templates of ROI can be overlapped with functional PET/SPET studies, individually registered to MRI. The method was tested on MRI studies. The efficacy of the warping algorithm in overlapping atlas and MRI contours was assessed by calculating for each slice an index representing the extent of overlapping (I). Values ofIin the range 0.8–0.9 were found (I = 1 complete overlapping). Local accuracy was also verified by comparing the position of correspondent anatomical ROI in the atlas and MRI images before and after warping. The atlas-matching procedure was applied to representative MRI/PET clinical images for an objective regional analysis of functional data.

Published
1997

7. Lateralization of cerebellar activation in word retrieval is ruled by the location of Broca's area. PET evidence in normal controls and in a left-handed epileptic patient

Author

Laura Tassi, F. Fazio, Paola Scifo, Claudio Munari, Daniela Perani, Pina Scarpa, Eraldo Paulesu, Gabriella Bottini, Matteo Signorini, A. Colleluori, Paulesu, E., Signorini, M., Colleluori, A., Scifo, P., Perani, DANIELA FELICITA L., Scarpa, P., Bottini, G., Tassi, L., Munari, C., and Fazio, F.

Subjects
Left handed, medicine.medical_specialty, Neurology, Cognitive Neuroscience, medicine, Broca's area, Audiology, Psychology, Word (group theory), Lateralization of brain function
Published
1998

8. A modified damped Richardson-Lucy algorithm to reduce isotropic background effects in spherical deconvolution.

Author

Dell'acqua F, Scifo P, Rizzo G, Catani M, Simmons A, Scotti G, and Fazio F

Subjects
Computer Simulation, False Positive Reactions, Humans, Models, Theoretical, Neural Pathways anatomy & histology, Time Factors, Algorithms, Brain anatomy & histology, Diffusion Magnetic Resonance Imaging methods, Image Enhancement methods, Image Processing, Computer-Assisted methods
Abstract

Spherical deconvolution methods have been applied to diffusion MRI to improve diffusion tensor tractography results in brain regions with multiple fibre crossing. Recent developments, such as the introduction of non-negative constraints on the solution, allow a more accurate estimation of fibre orientations by reducing instability effects due to noise robustness. Standard convolution methods do not, however, adequately model the effects of partial volume from isotropic tissue, such as gray matter, or cerebrospinal fluid, which may degrade spherical deconvolution results. Here we use a newly developed spherical deconvolution algorithm based on an adaptive regularization (damped version of the Richardson-Lucy algorithm) to reduce isotropic partial volume effects. Results from both simulated and in vivo datasets show that, compared to a standard non-negative constrained algorithm, the damped Richardson-Lucy algorithm reduces spurious fibre orientations and preserves angular resolution of the main fibre orientations. These findings suggest that, in some brain regions, non-negative constraints alone may not be sufficient to reduce spurious fibre orientations. Considering both the speed of processing and the scan time required, this new method has the potential for better characterizing white matter anatomy and the integrity of pathological tissue.

Published
2010
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