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;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.
| File | Dimensione | Formato | |
|---|---|---|---|
|
246.pdf
non disponibili
Descrizione: Automated identification of brain new lesions in multiple sclerosis using subtraction images.
Tipologia:
PDF editoriale
Licenza:
NON PUBBLICO - Accesso privato/ristretto
Dimensione
461.64 kB
Formato
Adobe PDF
|
461.64 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11365/977353
Attenzione
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo