G M Hathout
Affiliation: University of California
- The lag of cerebral hemodynamics with rapidly alternating periodic stimulation: modeling for functional MRIG M Hathout
Department of Radiological Sciences, University of California Los Angeles, UCLA Center for the Health Sciences, 90095 1721, USA
Magn Reson Imaging 17:9-20. 1999....
- The early response in fMRI: a modeling approachG M Hathout
Department of Radiological Sciences, University of California at Los Angeles, 90095, USA
Magn Reson Med 41:550-4. 1999....
- Ability to use duplex US to quantify internal carotid arterial stenoses: fact or fiction?E G Grant
Department of Radiology, West Los Angeles Veterans Affairs Medical Center, CA 90073, USA
Radiology 214:247-52. 2000..To determine if duplex ultrasonography (US) can help predict the degree of internal carotid arterial (ICA) stenosis...
- Imaging of the internal carotid artery: the dilemma of total versus near total occlusionS M El-Saden
Department of Radiology, West Los Angeles Veterans Administration Medical Center, 11301 Wilshire Blvd, Los Angeles, CA 90073, USA
Radiology 221:301-8. 2001..To evaluate ultrasonography (US) and magnetic resonance (MR) angiography in the differentiation between occlusion and near occlusion of internal carotid artery (ICA)...
- Cerebral toxoplasmosis: case review and description of a new imaging signR Masamed
Department of Radiological Sciences, UCLA Medical Center, Los Angeles, CA, USA
Clin Radiol 64:560-3. 2009..In addition, it offers a new imaging sign, the T2W/FLAIR (fluid attenuated inversion recovery) target sign, which is often seen in clinical practice but not well-published, as an aid to the diagnosis of cerebral toxoplasmosis...
- Systems analysis of functional magnetic resonance imaging data using a physiologic model of venous oxygenationJ H Woo
Department of Radiologic Sciences, University of California Los Angeles, UCLA Center for the Health Sciences, Los Angeles, California 90095-1721, USA
J Cereb Blood Flow Metab 21:517-28. 2001..Although the authors' mathematical model does not formally represent a linear system with respect to the flow input, its underlying linear character may help partially explain the "nearly" linear behavior of the fMRI response...