Search for dissertations about: "quantifying clinical image quality"

Found 4 swedish dissertations containing the words quantifying clinical image quality.

2. 1. Quantifying the quality of medical x-ray images. An evaluation based on normal anatomy for lumbar spine and chest radiography

   Author : Anders Tingberg; Malmö Medicinsk strålningsfysik; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Clinical physics; normal anatomy; free response forced error FFE ; receiver operating characteristics ROC ; visual grading analysis VGA ; European image criteria; quantifying clinical image quality; radiology; tomography; medical instrumentation; Klinisk fysiologi; radiologi; tomografi; medicinsk instrumentering;

   Abstract : Optimisation in diagnostic radiology requires accurate methods for determination of patient absorbed dose and clinical image quality. Simple methods for evaluation of clinical image quality are at present scarce and this project aims at developing such methods. READ MORE

4. 2. Quantifying image quality in diagnostic radiology using simulation of the imaging system and model observers

   Author : Gustaf Ullman; Michael Sandborg; Gudrun Alm Carlsson; Nicolas Pallikarakis; Linköpings universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; radiology; radiation physics; image quality; optimisation; effective dose; chest radiography; Radiological physics; Radiofysik;

   Abstract : Accurate measures of both clinical image quality and patient radiation risk are needed for successful optimisation of medical imaging with ionising radiation. Optimisation in diagnostic radiology means finding the image acquisition technique that maximises the perceived information content and minimises the radiation risk or keeps it at a reasonably low level. READ MORE

5. 3. Advanced Machine Learning Methods for Oncological Image Analysis

   Author : Mehdi Astaraki; Chunliang Wang; Örjan Smedby; Iuliana Toma-Dasu; Bjoern Menze; KTH; Karolinska Institutet; Karolinska Institutet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Medical Image Analysis; Machine Learning; Deep Learning; Survival Analysis; Early Response Assessment; Tumor Classification; Tumor Segmentation; Medicinsk teknologi; Medical Technology;

   Abstract : Cancer is a major public health problem, accounting for an estimated 10 million deaths worldwide in 2020 alone. Rapid advances in the field of image acquisition and hardware development over the past three decades have resulted in the development of modern medical imaging modalities that can capture high-resolution anatomical, physiological, functional, and metabolic quantitative information from cancerous organs. READ MORE

6. 4. Quantifying neurodegeneration from medical images with machine learning and graph theory

   Author : Gustav Mårtensson; Karolinska Institutet; Karolinska Institutet; []
   Keywords : ;

   Abstract : Neurodegeneration (or brain atrophy) is part of the pathological cascade of Alzheimer’s disease (AD) and is strongly associated with cognitive decline. In clinics, atrophy is measured through visual assessments of specific brain regions on medical images according to established rating scales. READ MORE