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Segmentazione RM cerebrale basata sulla rilassometria
Responsabile: Marco Comerci, marco.comerciibb.cnr.it

Descrizione:
Sviluppo, messa a punto e sperimentazione di uno strumento software che calcola i rates (velocità) di rilassamento RM e densità protonica voxel per voxel (immagini QMCI), e segmenta la maggior parte dei tessuti del cervello, tra cui lesioni di sclerosi multipla.
La versione attuale, validata a 1 e 1. 5 Tesla, segmenta studi del cervello nei seguenti 18 compartimenti: Materia Grigia (GM); Sostanza bianca (WM); Demielinizzata / Bianca Anormale (AWM); Liquido Cerebrospinale (CSF); Globo Pallido; Putamen; Talamo; Nucleo Caudato; Sostanza Nigra; Nucleo Rosso; Nucleo Dentato; Muscolo, Grasso; Umor Vitreo; Tessuti Connettivi intra-cranici ed extra-cranici; Fluidi extra-cranici; e tessuti a bassa densità protonica. Il software produce informazioni volumetriche e rilassmetriche di ogni comparto.
Questa segmentazione basata su modello, utilizza velocità di rilassamento, densità protonica e informazioni anatomiche.
Il software è configurabile e può essere ottimizzato per varie situazioni ambientali, come diverse caratteristiche dello scanner e diverse regioni anatomiche (vedi anche Segmentazione RM arto basata sulla rilassometria).
Un modulo per la valutazione automatica di follow-up è stato inoltre sviluppato: allinea studi basali e di follow-up con coregistrazione rigida (basata sulla mutual information normalizzata del software SPM), taglia fuori i tessuti non comuni a tutti gli studi ed esegue l'analisi di Pearson su volumi e rates.
Applicazione per la ricerca neurologica: invecchiamento; Malattia di Alzheimer; Schizofrenia; malattie degenerative; correzione dell'effetto volume parziale per la PET e SPECT.
I miglioramenti attualmente in fase di test includono: segmentazione di studi cervello a 3T; correzione disomogeneità RM in ricezione e trasmissione (critico per studi 3T); Stima automatica del reale angolo di flip; registrazione di semi-serie disallineate. Registrazione affine di basale e dl follow-up per tener conto della deriva del gradiente MR; Miglioramento del modello anatomico e di segnale per gli studi del cervello.
I miglioramenti pianificati futuri sono: supporto fast spin Echo; supporto 3D FFE simil- T1w; Altre sequenze veloci 3D per le mappe rilassamento; Modello anatomico e di segnale ulteriormente migliorati per gli studi del cervello; segmentazione iterativa.

Aree di ricerca: Imaging Quantitativo

Attori:
Arturo Brunetti,
Mario Quarantelli, quaranteunina.it,
Anna Prinster, anna.prinsteribb.cnr.it,
Bruno Alfano,
Marco Comerci, marco.comerciibb.cnr.it,


Immagine QMCI e corrispondente immagine segmentata

Non disponibili.
A multiparametric and multiscale approach to automated segmentation of brain veins (accesso riservato) (147 views)
An MRI digital brain phantom for validation of segmentation methods (accesso riservato) (484 views)
An Ontology-Based Technique for Validation of MRI Brain Segmentation Methods (accesso riservato) (132 views)
Assessment of an automated vein segmentation algorithm for MRI brain acquisitions at different field strengths (dominio pubblico) (100 views)
Automated Segmentation and Measurement of Global White Matter Lesion Volume in Patients With Multiple Sclerosis (accesso riservato) (473 views)
Automated segmentation of multispectral brain MR images (accesso riservato) (115 views)
Automatic Segmentation of the Brain and Intracranial Cerebrospinal Fluid in T1-Weighted Volume MRI Scans of the Head, and Its Application to Serial Cerebral and Intracranial Volumetry (dominio pubblico) (116 views)
Fully automatic segmentation of white matter hyperintensities in MR images of the elderly (accesso riservato) (108 views)
Histogram-Based Characterization of Healthy and Ischemic Brain Tissues Using Multiparametric MR Imaging Including Apparent Diffusion Coefficient Maps and Relaxometry (dominio pubblico) (123 views)
Liver and Spleen Volumetry with Quantitative MR Imaging and Dual-Space Clustering Segmentation (dominio pubblico) (109 views)
Measurement of Global Brain Atrophy in Alzheimer’s Disease With Unsupervised Segmentation of Spin-Echo MRI Studies (accesso riservato) (158 views)
Multi-parametric algorithm for the automated segmentation of brain vein (dominio pubblico) (105 views)
Novel whole brain segmentation and volume estimation using quantitative MRI (accesso riservato) (126 views)
Probabilistic segmentation of brain tissue in MR imaging (accesso riservato) (108 views)
Probabilistic segmentation of white matter lesions in MR imaging (accesso riservato) (108 views)
Reproducibility of Intracranial Volume Measurement by Unsupervised Multispectral Brain Segmentation (accesso riservato) (446 views)
Segmentation of magnetic resonance brain images through discriminant analysis (accesso riservato) (131 views)
Semiautomatic Regional Segmentation to Measure Orbital Fat Volumes in Thyroid-Associated Ophthalmopathy A Validation Study (accesso riservato) (150 views)
Unified segmentation based correction of R1 brain maps for RF transmit field inhomogeneities (UNICORT) (accesso riservato) (118 views)
Unsupervised, Automated Segmentation of the Normal Brain Using a Multispectral Relaxometric Magnetic Resonance Approach (accesso riservato) (475 views)
White matter lesion extension to automatic brain tissue segmentation on MRI (accesso riservato) (125 views)
Whole-brain atrophy in multiple sclerosis measured by two segmentation processes from various MRI sequences (accesso riservato) (114 views)
[Cerca bibliografia correlata su PubMed]


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24 Records (14 escludendo Abstract e Conferenze).
Impact factor totale: 51.625 (39.734 escludendo Abstract e Conferenze).
Impact factor a 5 anni totale: 45.814 (27.412 escludendo Abstract e Conferenze).






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