Dr. Niloufar Saadat Profile

Dr. Niloufar Saadat

at Univ of Texas Southwestern Medical Ctr at Dallas

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Publications (2)

Proceedings Article | 2 April 2024 Presentation + Paper

Synthesizing 3D multicontrast brain tumor MRIs using tumor mask conditioning

Nghi C. Truong, Chandan Ganesh Bangalore Yogananda, Benjamin Wagner, James Holcomb, Divya Reddy, Niloufar Saadat, Kimmo Hatanpaa, Toral Patel, Baowei Fei, Matthew Lee, Rajan Jain, Richard Bruce, Marco Pinho, Ananth Madhuranthakam, Joseph Maldjian

Proceedings Volume 12931, 129310M (2024) https://doi.org/10.1117/12.3009331

KEYWORDS: Tumors, Magnetic resonance imaging, 3D modeling, Brain, Diffusion

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SPIE Journal Paper | 8 December 2023 Open Access

Quantitative perfusion and water transport time model from multi b-value diffusion magnetic resonance imaging validated against neutron capture microspheres

Mira Liu, Niloufar Saadat, Yong Jeong, Steven Roth, Marek Niekrasz, Mihai Giurcanu, Timothy Carroll, Gregory Christoforidis

JMI, Vol. 10, Issue 06, 063501, (December 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.6.063501

KEYWORDS: Microspheres, Diffusion, Capillaries, Magnetic resonance imaging, Blood, Linear regression, Tissues, Statistical analysis, Voxels, Current controlled current source

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PurposeQuantification of perfusion in ml/100 g/min, rather than comparing relative values side-to-side, is critical at the clinical and research levels for large longitudinal and multi-center trials. Intravoxel incoherent motion (IVIM) is a non-contrast magnetic resonance imaging diffusion-based scan that uses a multitude of b-values to measure various speeds of molecular perfusion and diffusion, sidestepping inaccuracy of arterial input functions or bolus kinetics. Questions remain as to the original of the signal and whether IVIM returns quantitative and accurate perfusion in a pathology setting. This study tests a novel method of IVIM perfusion quantification compared with neutron capture microspheres.ApproachWe derive an expression for the quantification of capillary blood flow in ml/100 g/min by solving the three-dimensional Gaussian probability distribution and defining water transport time (WTT) as when 50% of the original water remains in the tissue of interest. Calculations were verified in a six-subject pre-clinical canine model of normocapnia, CO2 induced hypercapnia, and middle cerebral artery occlusion (ischemic stroke) and compared with quantitative microsphere perfusion.ResultsLinear regression analysis of IVIM and microsphere perfusion showed agreement (slope = 0.55, intercept = 52.5, R2 = 0.64) with a Bland–Altman mean difference of −11.8 [ − 78,54 ] ml / 100 g / min. Linear regression between dynamic susceptibility contrast mean transit time and IVIM WTT asymmetry in infarcted tissue was excellent (slope = 0.59, intercept = 0.3, R2 = 0.93). Strong linear agreement was found between IVIM and reference standard infarct volume (slope = 1.01, R2 = 0.79). The simulation of cerebrospinal fluid (CSF) suppression via inversion recovery returned a blood signal reduced by 82% from combined T1 and T2 effects.ConclusionsThe accuracy and sensitivity of IVIM provides evidence that observed signal changes reflect cytotoxic edema and tissue perfusion and can be quantified with WTT. Partial volume contamination of CSF may be better removed during post-processing rather than with inversion recovery.

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