Thomas A. Goldstein

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Total Variation-based regularization, well established for image processing applications such as denoising, was recently introduced for Maximum Penalized Likelihood Estimation (MPLE) as an effective way to estimate nonsmooth probability densities. While the estimates show promise for a variety of applications, the nonlinearity of the regularization leads to(More)
Accurate and fast quantification of myocardial blood flow (MBF) with MR first-pass perfusion imaging techniques on a pixel-by-pixel basis remains difficult due to relatively long calculation times and noise-sensitive algorithms. In this study, Zierler's central volume principle was used to develop an algorithm for the calculation of MBF with few assumptions(More)
Mapping of myocardial blood flow (MBF) with first-pass perfusion imaging is becoming an important tool in the study of coronary artery disease. In this study a wavelet-based denoising method was developed to improve the accuracy of pixel-by-pixel MBF maps. We performed an in vivo study in five stenotic dogs with 70% stenosis in the left coronary arteries.(More)
Computing with large kernel or similarity matrices is essential to many state-of-the-art machine learning techniques in classification, clustering, and dimension-ality reduction. The cost of forming and factoring these kernel matrices can become intractable for large datasets. We introduce an an adaptive column sampling technique called Accelerated(More)
—Sparse approximations using highly over-complete dictionaries is a state-of-the-art tool for many imaging applications including denoising, super-resolution, compressive sensing, light-field analysis, and object recognition. Unfortunately, the applicability of such methods is severely hampered by the computational burden of sparse approximation: these(More)
• Emphasis: Large scale distributed and parallel optimization Awards Richard C. DiPrima Prize • Awarded to one person every two years by the Society for Industrial and Applied Mathematics (SIAM) for outstanding research in applied mathematics
Myocardial oxygen extraction fraction (OEF) during hyperemia can be estimated using a double-inversion-recovery-prepared T(2)-weighted black-blood sequence. Severe irregular electrocardiogram (ECG) triggering due to elevated heart rate and/or arrhythmias may render it difficult to adequately suppress the flowing left ventricle blood signal and thus(More)
PURPOSE Myocardial blood volume (MBV) may provide complementary information about myocardial oxygen needs and viability. The aim of this study is to examine a Cardiovascular Magnetic Resonance (CMR) perfusion method to quantify the changes in MBV, in comparison with the radiolabeled 99mTc-Red-Blood-Cell (RBC) method. METHODS Normal mongrel dogs (n=12)(More)
By cardiac MRI we investigated the relationship of resting myocardial blood flow (MBF) in hypertrophic cardi-omyopathy (HCM) patients to important parameters of disease. MBF was quantified on pixel-by-pixel basis in 804 segments in 70 patients. Relative MBF negatively correlated with left-ventricular (LV) wall thickness (p<0.001), extent of myocardial(More)
OBJECTIVES To quantify resting myocardial blood flow (MBF) in the left ventricular (LV) wall of HCM patients and to determine the relationship to important parameters of disease: LV wall thickness, late gadolinium enhancement (LGE), T2-signal abnormalities (dark and bright signal), LV outflow tract obstruction and age. MATERIALS AND METHODS Seventy(More)