Essays about: "cardiac image analysis"
Showing result 1 - 5 of 14 essays containing the words cardiac image analysis.
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1. Quantification of cerebral blood flow with 15O-water PET : A comparison study between PET/CT and PET/MR and two different blood sampling instruments
University essay from Umeå universitet/Institutionen för fysik; Umeå universitet/Diagnostisk radiologiAbstract : Cerebral blood flow quantification is a vital diagnostic tool for disease monitoring and used for diagnosing a variation of pathological conditions. The human brain requires roughly about 20 % of the total cardiac output to sustain normal functioning, hence the perfusion of blood is an important factor to deliver oxygenated blood. READ MORE
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2. Automatic Left Ventricle Segmentation of Long-Axis Cardiac MRI-Images
University essay from Lunds universitet/Matematik LTHAbstract : Over 30 % of all deaths worldwide are related to cardiovascular diseases and they are the leading cause of death. Therefore, research into treatment, diagnosis and prognostication of these diseases are of critical importance. One way to examine the cardiovascular system is through the use of Magnetic Resonance Imaging (MRI). READ MORE
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3. AUTOMATED IDENTIFICATION OF CALCIUM IN MITRAL AND AORTIC VALVES
University essay from Lunds universitet/Matematik LTHAbstract : Calcification of the mitral and aortic valves is one of the main precursors to heart valve diseases. Calcified valves and coronary vessels is also an indication of risk for future cardiac events such as cardiac infarct(1)(2). READ MORE
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4. Image analysis tool for geometric variations of the jugular veins in ultrasonic sequences : Development and evaluation
University essay from Uppsala universitet/Avdelningen för visuell information och interaktionAbstract : The aim of this project is to develop and perform a first evaluation of a software, based on the active contour, which automatically computes the cross-section area of the internal jugular veins through a sequence of 90 ultrasound images. The software is intended to be useful in future research in the field of intra cranial pressure and its associated diseases. READ MORE
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5. Deep Learning Algorithms for Cardiac Image Classification and Landmark Detection
University essay from Lunds universitet/Matematik LTHAbstract : With the increase in computational power, deep learning algorithms have become an active field of research over the last 7 years. These data-driven machine learning algorithms have produced good results in many applications, image analysis being one of them. READ MORE