Sökning: "multi-atlas segmentation"
Hittade 5 avhandlingar innehållade orden multi-atlas segmentation.
1. Improving Multi-Atlas Segmentation Methods for Medical Images
Sammanfattning : Semantic segmentation of organs or tissues, i.e. delineating anatomically or physiologically meaningful boundaries, is an essential task in medical image analysis. One particular class of automatic segmentation algorithms has proved to excel at a diverse set of medical applications, namely multi-atlas segmentation. LÄS MER
2. Combining Shape and Learning for Medical Image Analysis
Sammanfattning : Automatic methods with the ability to make accurate, fast and robust assessments of medical images are highly requested in medical research and clinical care. Excellent automatic algorithms are characterized by speed, allowing for scalability, and an accuracy comparable to an expert radiologist. LÄS MER
3. Analysis of Medical Images : Registration, Segmentation and Classification
Sammanfattning : A large number of medical examinations involve images in some way. Images can be used for diagnostics, follow-up studies and treatment planning. In this thesis mathematical methods have been developed and adapted in order to analyze medical images. LÄS MER
4. Quantitative Muscle Composition Analysis Using Magnetic Resonance Imaging
Sammanfattning : Changes in muscle tissue composition, e.g. decrease in volume and/or increase of fat infiltration, are related to adverse health conditions such as sarcopenia, inflammation, muscular dystrophy, and chronic pain. LÄS MER
5. Fat-Referenced MRI : Quantitative MRI for Tissue Characterization and Volume Measurement
Sammanfattning : The amount and distribution of adipose and lean tissues has been shown to be predictive of mortality and morbidity in metabolic disease. Traditionally these risks are assessed by anthropometric measurements based on weight, length, girths or the body mass index (BMI). LÄS MER