Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Maria-Julieta Mateos"'
Autor:
Maria-Julieta Mateos, Ernesto Bribiesca, Adolfo Guzmán-Arenas, Wendy Aguilar, Jorge A. Marquez-Flores
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract In this study, we propose a novel method for quantifying tortuosity in 3D voxelized objects. As a shape characteristic, tortuosity has been widely recognized as a valuable feature in image analysis, particularly in the field of medical imagi
Externí odkaz:
https://doaj.org/article/1cd9936e4cb2453bba77158a8906155b
Autor:
Maria Julieta Mateos, Alfonso Gastelum-Strozzi, Fernando A. Barrios, Ernesto Bribiesca, Sarael Alcauter, Jorge A. Marquez-Flores
Publikováno v:
NeuroImage, Vol 207, Iss , Pp 116343- (2020)
A voxel-based method for measuring sulcal width was developed, validated and applied to a database. This method (EDT-based LM) employs the 3D Euclidean Distance Transform (EDT) of the pial surface and a Local Maxima labeling algorithm. A computationa
Externí odkaz:
https://doaj.org/article/616c652c4c194e6ea1e6c9c615837734
Publikováno v:
17th International Symposium on Medical Information Processing and Analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d7abeb0de6371ccaa1ff1fdb9291843
https://doi.org/10.1117/12.2606164
https://doi.org/10.1117/12.2606164
Publikováno v:
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
Magnetic Resonance Images of the brain provide detailed anatomical information that allows morphological analysis of the different brain structures. The analysis of the cortical folding patterns variation is inspiring great interest, as this relates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad4dbe3a03deb08fd47560122ec83b65
https://doi.org/10.1109/nss/mic42677.2020.9507994
https://doi.org/10.1109/nss/mic42677.2020.9507994
Autor:
Maria Julieta Mateos, Jorge A. Marquez-Flores, Alfonso Gastelum Strozzi, Fernando A. Barrios, Sarael Alcauter, Ernesto Bribiesca
Publikováno v:
NeuroImage, Vol 207, Iss, Pp 116343-(2020)
A voxel-based method for measuring sulcal width was developed, validated and applied to a database. This method (EDT-based LM) employs the 3D Euclidean Distance Transform (EDT) of the pial surface and a Local Maxima labeling algorithm. A computationa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::666e553ed3729086afcf2a89692ddc33
https://pubmed.ncbi.nlm.nih.gov/31734431
https://pubmed.ncbi.nlm.nih.gov/31734431