To propose and validate nonlinear registration techniques for generating subtraction images because of their ability to reduce artifacts and improve lesion detection and lesion volume quantification.
Validating Nonlinear Registration to Improve Subtraction Images for Lesion Detection and Quantification in Multiple Sclerosis / Kotari, Vikas; Salha, Racha; Wang, Dana; Wood, Emily; Salvetti, Marco; Ristori, Giovanni; Tang, Larry; Bagnato, Francesca; Ikonomidou, Vasiliki N. - In: JOURNAL OF NEUROIMAGING. - ISSN 1051-2284. - 28:1(2018), p. 70-78. [10.1111/jon.12479]
Validating Nonlinear Registration to Improve Subtraction Images for Lesion Detection and Quantification in Multiple Sclerosis
Salvetti, Marco;Ristori, Giovanni;
2018
Abstract
To propose and validate nonlinear registration techniques for generating subtraction images because of their ability to reduce artifacts and improve lesion detection and lesion volume quantification.File allegati a questo prodotto
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
