Tianhu Lei

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A statistical description of X-ray CT (computerized tomography) imaging, from the projection data to the reconstructed image, is presented. The Gaussianity of the pixel image generated by the convolution (image reconstruction) algorithm is justified. The conditions for two pixel images to be statistically independent (for a given probability) and the(More)
This paper presents a near-automatic process for separating vessels from background and other clutter as well as for separating arteries and veins in contrast-enhanced magnetic resonance angiographic (CE-MRA) image data, and an optimal method for three-dimensional visualization of vascular structures. The separation process utilizes fuzzy connected object(More)
Finite Normal Mixture (FNM) model-based image segmentation techniques adopt the following detection-estimation-classification paradigm: 1) detect the number of image regions by using theoretical information criteria; 2) estimate model parameters by using expectation-maximization (EM)/classification-maximization (CM) algorithms; and 3) classify pixels into(More)
This paper presents a new approach for medical image analysis. It translates the object region-detection problem into a sensor array processing framework and detects the number of object regions based on the signal eigenstructure of the converted array system. The theoretical and experimental results obtained by using this approach on various medical images(More)
Our earlier study developed a computerized method, based on fuzzy connected object delineation principles and algorithms, for artery and vein separation in contrast enhanced Magnetic Resonance Angiography (CE-MRA) images. This paper reports its current development-a software package-for routine clinical use. The software package, termed 3DVIEWNIX-AVS,(More)
RATIONALE AND OBJECTIVES Magnetic resonance angiography (MRA) is established as an important complementary technique to conventional angiography, and contrast– enhanced MRA (CE-MRA) offers even higher contrast between the vascular lumen and surrounding structures. MS-325 is a gadolinium-based MR contrast agent designed specifically for blood-pool imaging,(More)
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