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therefore, their potential in rehabilitation treatments should be further

investigated.

http://dx.doi.org/10.1016/j.ejmp.2016.01.444

E.436

ARTERIAL SPIN LABELING (ASL) TECHNIQUE COULD BE USED AS

STANDARD CLINICAL TOOL?

M. Maieron

* , a ,

F. Iaiza

b ,

S. D’Agostini

b ,

D. Bagatt

o b ,

F. Calzolar

i b .

a

SOC Fisica

Sanitaria, AOUD S. Maria della Misericordia di Udine, Udine, Italy;

b

SOC

Neuroradiologia, AOUD S. Maria della Misericordia di Udine, Udine, Italy

Introduction:

The two most common methods for measuring perfusion using

MRI are the Dynamic Susceptibility Contrast (DSC) approach, which iden-

tifies the passage of an intravascular contrast agent, and the Arterial Spin

Labeling (ASL), which uses magnetically labeled arterial blood water as a dif-

fusible flow tracer. DSC perfusion is still the more widely applied clinical

technique but recent technical advances have improved the sensitivity of ASL

perfusion. It has been argued that ASL perfusion images are not clinically

reliable due to the low SNR. The objective of the current study was to eval-

uate the regional correlation between ASL perfusion measurement of CBF

in healthy subjects and patients with brain tumors in different brain areas.

Materials and Methods:

35 subjects were enrolled: 27 healthy subjects

(19 m/17 f, 44.6 y) and 8 patients (4 m/3 f, 57 y) with different brain lesions.

The study was performed using a 1.5 T MR scanner. Each subject received

an ASL scan and all the routine clinical MRI scans; a DSC scan was also ac-

quired only for patients. For all subjects, a series of ROIs in correspondence

to the white matter (WM) and gray matter (GM) have been drawn on the

ASL-CBF map; the same ROIs were also positioned on DSC-CBF map for all

patients. The perfusion ASL values from different regions were analyzed

using non parametric t-test. For patients, the ASL and DSC data have also

been compared.

Results and Conclusions:

From the comparison between the ASL values it

was found that the values of the CBF were statistically higher in the GM

(33.5

±

5.8 ml/100g/min) with respect to the WM (17.1

±

5.7 mL/100g/min)

as expected. Frompatient data analysis, it was evident that ASL and DSC values

are in agreement with the type of lesions, WM, GM. Our study confirmed

that the ASL technique represents a valid alternative to conventional DSC.

In our experience the ASL was able to highlight the topographical distribu-

tion of CBF and to locate in patients ischemic and glial lesions.

http://dx.doi.org/10.1016/j.ejmp.2016.01.445

E.437

TRANS-CRANIAL MRI-GUIDED FOCUSED ULTRASOUND SURGERY

(TCMRGFUS): ITALIAN AND WORLD-FIRST EXPERIENCE AT 1.5 TESLA

C. Gagliardo

a ,

M. Marrale

* , b ,

A. Napol

i c ,

L. Geraci

a ,

G. Collura

b ,

A. Franzin

i d ,

G. Iacopino

e ,

M. Brai

b ,

C. Catalano

c ,

M. Midiri

a .

a

Sezione di Scienze

Radiologiche, Dipartimento di Biopatologia e Biotecnologie Mediche e Forensi

– Università di Palermo, Palermo, Italy;

b

Dipartimento di Fisica e Chimica –

Università di Palermo, Palermo, Italy;

c

Dipartimento Scienze Radiologiche,

Oncologiche e Anatomo-Patologiche – Università di Roma Sapienza, Roma, Italy;

d

Neurochirurgia – Istituto Carlo Besta, Milano, Italy;

e

U.O. di Neurochirurgia,

Dipartimento di Emergenze, Urgenze e Neuroscienze Cliniche – Università di

Palermo, Palermo, Italy

Introduction:

Transcranial magnetic resonance-guided focused ultra-

sound surgery (tcMRgFUS) is a promising new technology for the non-

invasive treatment of various brain disorders. Here, we present our

preliminary results achieved with the first Italian installation of a trans-

cranial MRI-guided focused ultrasound surgery (tcMRgFUS) certified system

for functional neurosurgery. Technical issues faced to achieve a safe and

effective treatment will be discussed focusing on MR high-resolution live

imaging and thermometry sequences optimization.

Materials and Methods:

Patient enrollment was based on indication for

functional neurosurgery and evidence of medication-refractory disease; a

detailed medical history has been collected together with a complete clin-

ical examination and a neurophysiological assessment. Eligible patients have

been screened by MDCT and MRI.

Results:

Although this is a preliminary experience, the clinical success of

our first treatments proves that this promising new technology for

non-invasive treatment of various brain disorders can be safely and effec-

tively performed also with the most popular MRI units operating at 1.5 T.

Conclusion:

TcMRgFUS treatments are currently performed in a very few

centers in the world and only using 3 T MRI units. This is the world-first

experience of functional neurosurgery successfully performed with a

tcMRgFUS installed on the most popular and affordable 1.5 T MR units.

Thanks to the use of a radiation-free technique like the MRI as a guide and

to the possibility of verifying the clinical effectiveness of such an innova-

tive treatment before a permanent lesion is made in the targeted area of

the brain, this technique allows for a huge step forward for both

interventional neuroradiology and functional neurosurgery.

http://dx.doi.org/10.1016/j.ejmp.2016.01.446

E.438

COMPARATIVE EVALUATION OF DATA PREPROCESSING SOFTWARE TOOLS

TO INCREASE EFFICIENCY AND ACCURACY IN DIFFUSION KURTOSIS

IMAGING

M. Marrale *

, a , b , c ,

G. Collura

a , b , c ,

S. Gallo

a , b ,

A. Longo

a , b ,

S. Panzeca

a , b , c ,

C. Gagliard

o d ,

M. Midiri

c , d ,

M. Brai

a , b , c .

a

Dipartimento di Fisica e Chimica,

Università di Palermo, Palermo, Italy;

b

Istituto Nazionale di Fisica Nucleare

(INFN) Gruppo V Sez. Catania, Catania, Italy;

c

Scuola di Specializzazione in

Fisica Medica, Università di Palermo, Palermo, Italy;

d

Dipartimento di

Biopatologia e Biotecnologie Mediche Forensi, Università di Palermo, Palermo,

Italy

Introduction:

Diffusion tensor imaging (DTI) is the most commonly used

technique to extract microstructural features from a set of diffusion weighted

images. In addition to the metrics obtained with DTI, diffusion kurtosis

imaging (DKI) can provide non-Gaussian diffusion measures by means of

the kurtosis tensor.

DKI has shown to be more sensitive to tissue microstructural changes in

both normal and pathological neural tissue.

In a clinical setting, however, these benefits are often nullified by numer-

ous acquisition artifacts. The aim of this study was compare two pre-

processing software for DTI apply to DKI. Also, the major preprocessing,

processing and post-processing procedures applied to DKI data are discussed.

Materials and Methods:

The reproducibility typical to DKI parameters ob-

tained from the same dataset using two DTI analysis software tools was

evaluated by the image quality measurements in regions of interest on 10

DKI datasets. The data were corrected for motion and eddy current arti-

facts using two different softwares: ExploreDTI

( http://www.exploredti.com )

and TORTOISE DIFF_PREP

( https://science.nichd.nih.gov/confluence/ display/nihpd/TORTOISE )

.

The data analysis was performed using in-house developed software imple-

mented in Python.

Results:

The performances of these approaches were compared with Monte

Carlo simulations. A quantitative analysis of differences of typical DKI maps

obtained from data preprocessed with these two packages was per-

formed and the advantages and disadvantages of each tool are highlighted.

Conclusion:

This work is aimed at providing useful indications for appli-

cation of DKI in clinical settings where artifacts in diffusion weighted images

are common and may affect DKI measurements and the lack of standard

procedures for post-processing might become a significant issue for the

use of DKI in clinical routine.

http://dx.doi.org/10.1016/j.ejmp.2016.01.447

E.439

RESTING STATE FMRI: A TOOL TO INVESTIGATE FUNCTIONAL

CONNECTIVITY MODULATION INDUCED BY TRANSCRANIAL DIRECT

CURRENT STIMULATION OF THE MOTOR NETWORK

M. Marrale

* , a , b , c ,

S. Nic

i a ,

G. Collur

a a , b , c ,

S. Gall

o a , b ,

A. Longo

a , b ,

S. Panzec

a a , b , c ,

T. Piccoli

d ,

C. Gagliard

o e ,

M. Midiri

c , e ,

M. Brai

a , b , c .

a

Dipartimento di Fisica e

Chimica, Università di Palermo, Palermo, Italy;

b

Istituto Nazionale di Fisica

Nucleare (INFN) Gruppo V Sez. Catania, Catania, Italy;

c

Scuola di

Specializzazione in Fisica Medica, Università di Palermo, Palermo, Italy;

d

Dipartimento di Biomedicina Sperimentale e Neuroscienze Cliniche, Università

di Palermo, Palermo, Italy;

e

Dipartimento di Biopatologia e Biotecnologie

Mediche Forensi, Università di Palermo, Palermo, Italy

e129

Abstracts/Physica Medica 32 (2016) e124–e134