Pubblicazioni

Autori:

Zucchelli, Mauro; MENDEZ GUERRERO, Carlos Andres; Menegaz, Gloria

Titolo:

Multi-Tensor MAPMRI: how to estimate microstructural information from crossing fibers

Anno:

2015

Tipologia prodotto:

Contributo in atti di convegno

Tipologia ANVUR:

Contributo in Atti di convegno

Lingua:

Inglese

Formato:

Elettronico

Titolo del Convegno:

Medical Image Computing and Computer Assisted Intervention (MICCAI), Workshop on Computational Diffusion MRI (CDMRI)

Luogo:

Munich, Germany

Periodo:

October 4-9, 2015

Casa editrice:

Springer

Intervallo pagine:

58-67

Parole chiave:

Diffusion MRI, SHORE

Breve descrizione dei contenuti:

Diusion Magnetic Resonance Imaging (MRI) is able to de- tect the properties of tissue microstructure underneath the voxel through the imaging of water molecules diusion. Many reconstruction methods have been proposed to calculate the Orientation Distribution Function (ODF) from the diusion signal in order to distinguish between a coher- ent ber bundle and crossing of bers. The diusion signal was also used to infer other microstructural information such as the axon diameter, but most often in areas with coherent ber direction such as the corpus callosum. In this work we developed a reconstruction model called Multi- Tensor MAPMRI (MT-MAPMRI) that is an extension of the MAPMRI model which improves the performance of MAPMRI for crossing bers. In particular, it provides i) enhanced signal tting; ii) improved ODFs, iii) a more accurate diameter estimation. The model was tested and val- idated on both simulated and in vivo data.

Id prodotto:

87816

Handle IRIS:

11562/925785

ultima modifica:

1 novembre 2022

Citazione bibliografica:

Zucchelli, Mauro; MENDEZ GUERRERO, Carlos Andres; Menegaz, Gloria, Multi-Tensor MAPMRI: how to estimate microstructural information from crossing fibers  in Proceedings of the Workshop on Computational Diffusion (CRMRI 2015) , Springer , Atti di "Medical Image Computing and Computer Assisted Intervention (MICCAI), Workshop on Computational Diffusion MRI (CDMRI)" , Munich, Germany , October 4-9, 2015 , 2015 , pp. 58-67

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