To propose and evaluate a new automated method for the identification of new/enlarging multiple sclerosis (MS) lesions on subtracted images (SI). The subtraction of serially acquired images has shown great potential in assessing new/enlarging brain magnetic resonance imaging (MRI) lesions in MS patients. However, this approach relies on the manual definition of lesions, which is labor-intensive and subject to operator-dependent variability.

Battaglini, M., Rossi, F., Grove, R.A., Stromillo, M.L., Whitcher, B., Matthews, P.M., et al. (2014). Automated identification of brain new lesions in multiple sclerosis using subtraction images. JOURNAL OF MAGNETIC RESONANCE IMAGING, 39(6), 1543-1549 [10.1002/jmri.24293].

Automated identification of brain new lesions in multiple sclerosis using subtraction images

BATTAGLINI, MARCO;ROSSI, FRANCESCA;STROMILLO, MARIA LAURA;DE STEFANO, NICOLA
2014-01-01

Abstract

To propose and evaluate a new automated method for the identification of new/enlarging multiple sclerosis (MS) lesions on subtracted images (SI). The subtraction of serially acquired images has shown great potential in assessing new/enlarging brain magnetic resonance imaging (MRI) lesions in MS patients. However, this approach relies on the manual definition of lesions, which is labor-intensive and subject to operator-dependent variability.
Battaglini, M., Rossi, F., Grove, R.A., Stromillo, M.L., Whitcher, B., Matthews, P.M., et al. (2014). Automated identification of brain new lesions in multiple sclerosis using subtraction images. JOURNAL OF MAGNETIC RESONANCE IMAGING, 39(6), 1543-1549 [10.1002/jmri.24293].
File in 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.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/977353
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo