Computer assessment of neurodegeneration in Parkinson disease using data fusion techniques with MR images

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dc.contributor.authorRaff, U
dc.contributor.authorRojas, GM
dc.contributor.authorHuete, I
dc.contributor.authorHutchinson, M
dc.date.accessioned2025-01-21T01:09:04Z
dc.date.available2025-01-21T01:09:04Z
dc.date.issued2003
dc.description.abstractRationale and Objectives. Recently developed MR imaging techniques using inversion recovery are a sensitive tool to identify and quantify morphologic changes in the substantia nigra due to neurodegeneration. Using a semi-automated computer segmentation technique to isolate the substantia nigra pars compacta (SNC), we propose a colored image fusion technique to visually assess the sites of damage in the SNC and integrate the information obtained from two implemented inversion-recovery sequences.
dc.description.abstractPatients and Methods. Six patients and six age-matched control subjects were scanned using a combination of two MR imaging inversion-recovery (IR) pulse sequences. A subgroup of them was used to develop our technique. Images were blended together into a final (RGBA) image, where A stands for the alpha channel describing transparency.
dc.description.abstractResults. Abnormalities in the SNC can be accurately assessed in location, shape, and variations of signal intensities within the segmented SNC by varying the transparency (alpha) channel of the color fusion image. Several previous findings such as the lateral-medial gradient of signal change and a ventral-dorsal broadening of the pars compacta are accompanied by an overall mild-to-severe heterogeneity of neurodegeneration patterns.
dc.description.abstractConclusion. Color fusion techniques revealed subtle changes in the neurodegeneration of the substantia nigra in Parkinson disease, which can be helpful for an objective and hence effective visual assessment of disease progression.
dc.fuente.origenWOS
dc.identifier.doi10.1016/S1076-6332(03)00105-3
dc.identifier.issn1076-6332
dc.identifier.urihttps://doi.org/10.1016/S1076-6332(03)00105-3
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/96542
dc.identifier.wosidWOS:000185068400011
dc.issue.numero9
dc.language.isoen
dc.pagina.final1044
dc.pagina.inicio1036
dc.revistaAcademic radiology
dc.rightsacceso restringido
dc.subjectParkinson disease
dc.subjectsubstantia nigra
dc.subjectmagnetic resonance imaging
dc.subjectimage fusion
dc.subjectk-means segmentation
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleComputer assessment of neurodegeneration in Parkinson disease using data fusion techniques with MR images
dc.typeartículo
dc.volumen10
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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