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1دورية أكاديمية
المؤلفون: Canales-Rodríguez, E, Daducci, A, Sotiropoulos, SN, Caruyer, E, Aja-Fernández, S, Radua, J, Mendizabal, Y, Iturria-Medina, Y, Melie-García, L, Alemán-Gómez, Y, Thiran, J, Sarró, S, Pomarol-Clotet, E, Salvador, R
الوصف: Due to a higher capability in resolving white matter fiber crossings, Spherical Deconvolution (SD) methods have become very popular in brain fiber-tracking applications. However, while some of these estimation algorithms assume a central Gaussian distribution for the MRI noise, its real distribution is known to be non-Gaussian and to depend on many factors such as the number of coils and the methodology used to combine multichannel signals. Indeed, the two prevailing methods for multichannel signal combination lead to noise patterns better described by Rician and noncentral Chi distributions. Here we develop a Robust and Unbiased Model-BAsed Spherical Deconvolution (RUMBA-SD) technique intended to deal with realistic MRI noise. The algorithm relies on a maximum a posteriori formulation based on Rician and noncentral Chi likelihood models and includes a total variation (TV) spatial regularization term. By means of a synthetic phantom contaminated with noise mimicking patterns generated by data processing in multichannel scanners, the performance of RUMBA-SD is compared to that of other well-established SD methods (i.e., CSD and dRL-SD). The inclusion of proper likelihood models and TV regularization in RUMBA-SD leads to an increased ability to resolve fiber crossings with smaller inter-fiber angles and an increased robustness to noise. Finally, the proposed method is also validated in human brain data, producing the most stable fiber reconstructions in front of differing noise types and diffusion schemes based on a small number of gradient directions.
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2
المؤلفون: Canales-Rodríguez, E, Daducci, A, Sotiropoulos, SN, Caruyer, E, Aja-Fernández, S, Radua, J, Mendizabal, Y, Iturria-Medina, Y, Melie-García, L, Alemán-Gómez, Y, Thiran, J, Sarró, S, Pomarol-Clotet, E, Salvador, R
الوصف: Due to a higher capability in resolving white matter fiber crossings, Spherical Deconvolution (SD) methods have become very popular in brain fiber-tracking applications. However, while some of these estimation algorithms assume a central Gaussian distribution for the MRI noise, its real distribution is known to be non-Gaussian and to depend on many factors such as the number of coils and the methodology used to combine multichannel signals. Indeed, the two prevailing methods for multichannel signal combination lead to noise patterns better described by Rician and noncentral Chi distributions. Here we develop a Robust and Unbiased Model-BAsed Spherical Deconvolution (RUMBA-SD) technique intended to deal with realistic MRI noise. The algorithm relies on a maximum a posteriori formulation based on Rician and noncentral Chi likelihood models and includes a total variation (TV) spatial regularization term. By means of a synthetic phantom contaminated with noise mimicking patterns generated by data processing in multichannel scanners, the performance of RUMBA-SD is compared to that of other well-established SD methods (i.e., CSD and dRL-SD). The inclusion of proper likelihood models and TV regularization in RUMBA-SD leads to an increased ability to resolve fiber crossings with smaller inter-fiber angles and an increased robustness to noise. Finally, the proposed method is also validated in human brain data, producing the most stable fiber reconstructions in front of differing noise types and diffusion schemes based on a small number of gradient directions.
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::97dccbd09e92c1be827928cceffad98eTest
http://ora.ox.ac.uk/objects/uuid:9f4185ae-4432-47c7-abc1-d8a3a48837aaTest -
3دورية أكاديمية
المؤلفون: Escriche, Joaquín, 1784-1847., Calleja, Antonio (Viuda e Hijos de), ed. (Madrid), Mendizábal y Martín, Alfredo, ant. pos. DER D 33180., Mendizábal Y Martín, Luis, 1859-1931 ant. pos. DER D 33180., Colegio Nacional de Sordo-Mudos y de Ciegos de Madrid.
مصطلحات موضوعية: Derecho
الوقت: España Madrid.
الوصف: Texto a dos col. ; Contiene: T. I (859 p.) -- T. II (948 p.) ; Mode of access: Internet.
وصف الملف: bib
العلاقة: http://hdl.handle.net/2027/ucm.5319425843Test; http://hdl.handle.net/2027/ucm.5319425852Test; http://hdl.handle.net/2027/ucm.5320829357Test
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4كتاب
المؤلفون: Mendizábal y Martín, Luis, 1859-1931
مصطلحات موضوعية: Real Academia de Jurisprudencia y Legislación (Madrid)-Conferencias, Justicia social, Sociología
الوصف: Sesión del día 5 de marzo de 1920 ; Copia Digital : Real Academia de Jurisprudencia y Legislación, 2011
وصف الملف: image/jpeg
العلاقة: Publicaciones de la Real Academia de Jurisprudencia y Legislación; XVIII; https://bvpb.mcu.es/es/consulta/registro.do?id=451559Test; https://bvpb.mcu.es/es/catalogo_imagenes/grupo.do?path=28979Test
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5كتاب
المؤلفون: HARGUINDEY, J. S, MENDIZABAL Y AMEZAGA, M. M.ª
مصطلحات موضوعية: Fístula urinaria
وصف الملف: 64 p.; 21 cm
العلاقة: Casa de la Madre; http://bibliotecavirtual.ranm.es/ranm/es/consulta/registro.do?id=61899Test
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6كتاب
المؤلفون: MENDIZABAL Y AMEZAGA, M. M.ª, GONZÁLEZ ALLAS, A
مصطلحات موضوعية: Hospitales especializados-De Maternidad
الوصف: Delegación Nacional de Auxilio Social : Asamblea Sanitaria 1958
وصف الملف: 36 p., [4] h. pleg.; 22 cm
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7دورية أكاديمية
المؤلفون: Mendizábal y Martín, Luis.
الوصف: Bibliographical footnotes. ; Mode of access: Internet.
وصف الملف: bib
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8دورية أكاديمية
المؤلفون: Prisco, Giuseppe, 1833-1923, Mendizábal Y Martín, Luis, 1859-1931 ant. pos. DER D 55947., Fibreno, imp. (Napoles)
مصطلحات موضوعية: Ética
جغرافية الموضوع: Italia Napoles
الوصف: Mode of access: Internet.
وصف الملف: bib
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9دورية أكاديمية
المؤلفون: Liberatore, Matteo (S.I.), 1810-1892., Mendizabal y Martín, Luis, 1859-1931 ant. pos. DER D 56041., Subirana, J, (Viuda e Hijos de), ed. (Barcelona)
مصطلحات موضوعية: Metafísica, Filosofía
الوقت: España Barcelona.
الوصف: Mode of access: Internet.
وصف الملف: bib
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10
المؤلفون: Mendizabal y Oriza, David
المساهمون: Flores Coto, Cesar Eduardo
المصدر: Universidad Nacional Autónoma de México
UNAM
Repositorio de Tesis DGBSDI, Dirección General de Bibliotecas y Servicios Digitales de Información, UNAMمصطلحات موضوعية: Ciencias Biológicas, Químicas y de la Salud
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=od______3056::c70dd490c36529b655b549330d5ff3c8Test
https://ru.dgb.unam.mx/handle/DGB_UNAM/TES01000224931Test
