Perfusion-related parameters in intravoxel incoherent motion MR imaging compared with CBV and CBF measured by dynamic susceptibility-contrast MR technique

Author:

Wirestam R.1,Borg M.1,Brockstedt S.2,Lindgren A.3,Holtås S.2,Ståhlberg F.12

Affiliation:

1. Department of Radiation Physics, University Hospital, Lund, Sweden

2. Department of Diagnostic Radiology, University Hospital, Lund, Sweden

3. Department of Neurology, University Hospital, Lund, Sweden

Abstract

Objective: Perfusion-related parameters obtained by intravoxel incoherent motion (IVIM) MR imaging (MRI) were compared with cerebral blood volume and flow (CBV and CBF), retrieved by dynamic susceptibility-contrast (DSC) MRI. Material and Methods: Twenty-eight volunteers (average age 68.5 years) were investigated. Spin-echo echo-planar imaging with IVIM-encoding gradients was employed (36 different b values, 0-1200 s/mm2). The perfusion fraction and the pseudo-diffusion coefficient were calculated for regions in thalamus gray matter and frontal white matter, using asymptotic and full fitting. In DSC-MRI, a Gd-DTPA-BMA contrast-agent bolus was monitored using simultaneous-dual FLASH. Deconvolution of the measured tissue concentration-versus-time curve with an arterial input function from the carotid artery was applied, and maps of CBV and CBF were calculated. Results: The correlation between the perfusion fraction and CBV was r=0.56 ( p<0.0000006) using asymptotic fitting, and r=0.35 ( p<0.0004) when full fitting was applied. Average CBF was 41.5 ml/(min 100 g), to be compared with the IVIM-based value of 63.6 ml/(min 100 g), obtained from the median value of the pseudo-diffusion coefficient in combination with assumptions about capillary network structure. Conclusion: The IVIM concept provided results that agreed reasonably with conventional CBV and CBF. The non-linear fitting to noisy signal data was problematic, in accordance with previously presented simulations.

Publisher

SAGE Publications

Subject

Radiology Nuclear Medicine and imaging,General Medicine,Radiological and Ultrasound Technology

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