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The Design Of A Computer System To Determine The Causes Of Edema Using Magnetic Resonance Spectroscopy, Carl Allen Fink
The Design Of A Computer System To Determine The Causes Of Edema Using Magnetic Resonance Spectroscopy, Carl Allen Fink
LSU Master's Theses
Diabetes is a growing problem in the U.S.A., closely linked to the current obesity epidemic. Two common complications of diabetes, osteomyelitis of the foot, and Charcot's joint, are impossible to differentiate via traditional Magnetic Resonance Imaging. The background of Magnetic Resonance Spectroscopy, which transforms the time-domain MRI signal into the frequency domain spectrum, is explored, and its use to aid in this differentiation is proposed. Artificial Neural Networks can be employed to evaluate the MRS data and to automate the process.
A Directional Algorithm For An Electronically-Collimated Radiation Detector (Ecrd), Adam Lackie
A Directional Algorithm For An Electronically-Collimated Radiation Detector (Ecrd), Adam Lackie
LSU Master's Theses
An electronically-collimated radiation detector (ECRD) is being developed to be used for locating radiation sources, e.g. for intraoperative localization of sentinel lymph nodes, or for public safety applications. The design emphasizes a compact, portable detector with a wide field of view. Typical probes provide either high sensitivity but no directional information when uncollimated, or directional information but poor detection efficiency when collimated. The ECRD design provides high sensitivity to the presence of radiation because it lacks physical collimation, and simultaneously provides directional information using electronic collimation. Intended to be a hand-held device, the ECRD front end comprises an array of …
Roc Comparison Of Acquisition Parameters For Two Pet/Ct Scanners Based On Lesion Detectability In A Torso Phantom, Kenneth Bernstein
Roc Comparison Of Acquisition Parameters For Two Pet/Ct Scanners Based On Lesion Detectability In A Torso Phantom, Kenneth Bernstein
LSU Master's Theses
Positron emission tomography (PET) and computed tomography (CT) are well established and powerful tools for medical diagnostics but even integrated PET/CT scanner images still lack the necessary quality and resolution that would make medical diagnoses flawless. In this thesis experiments were performed to statistically determine the effect that image acquisition parameters have upon diagnostic accuracy. Images from different PET/CT scanners were assessed by comparing subject human diagnostic accuracy from a sample of both professional and student volunteers. The assessment results were compared to the objective NEMA-standards performance data provided by the manufacturers for each scanner. The data analysis method is …
Computer-Aided Diagnosis Tool For The Detection Of Cancerous Nodules In X-Ray Images, Pallavi Bomma
Computer-Aided Diagnosis Tool For The Detection Of Cancerous Nodules In X-Ray Images, Pallavi Bomma
LSU Master's Theses
This thesis involves development of a computer-aided diagnosis (CAD) tool for the detection of cancerous nodules in X-ray images. Both cancerous and non-cancerous regions appear with little distinction on an X-ray image. For accurate detection of cancerous nodules, we need to differentiate the cancerous nodules from the non-cancerous. We developed an artificial neural network to differentiate them. Artificial neural networks (ANN) find a large application in the area of medical imaging. They work in a manner rather similar to the brain and have good decision making criteria when trained appropriately. We trained the neural network by the backpropagation algorithm and …