Browsing by Author "Raff, U."

Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    Image fusion in neuroradiology: Three clinical examples including MRI of Parkinson disease
    (2007) Rojas, G. M.; Raff, U.; Quintana, J. C.; Huete, I.; Hutchinson, M.
    Image data fusion has been developed over the last decade as an important additional visual diagnostic tool to integrate the growing amount of imaging data obtained from different medical imaging modalities. The overwhelming amount of digital information calls for data consolidation to improve clinical treatment strategies based upon anatomical and physiological imaging. Three different low level image data fusion techniques are described and their characteristics are illustrated with some rare yet key examples. We used MR images to show neurodegeneration in the cerebral peduncle of the midbrain and found that image data fusion using colors can be a valuable tool to visually assess and quantify the loss of neural cells in the Substantia Nigra pars compacta in Parkinson's disease. (c) 2006 Elsevier Ltd. All rights reserved.
  • No Thumbnail Available
    Item
    Semi-automated assessment of left ventricular mass using transaxial Tc-99m Sestamibi SPECT imaging
    (2009) Rojas, G.; Raff, U.; Gonzalez, P.; Jaimovich, R.; Quintana, J. C.
    The "left ventricular mass" (LVM) using Tc-99m Sestamibi SPECT imaging may be a useful parameter to quantitatively assess the left ventricle and hence its function. The LVM was determined without reorienting the images along the long axis of the left ventricle. A comparison with reoriented SPECT images was then performed. The LVM showed the expected variations among different pathological heart conditions and the control subjects. The left ventricular mass obtained from non-reoriented tomographic views of the myocardium can be a useful index to quantitatively assess various heart conditions where the myocardium lacks perfusion either between rest and stress studies or similar conditions in longitudinal Studies. (C) 2008 Published by Elsevier Ltd.