Search for dissertations about: "Chunliang Wang"

Showing result 1 - 5 of 7 swedish dissertations containing the words Chunliang Wang.

2. 1. Computer-­Assisted  Coronary  CT  Angiography  Analysis : From  Software  Development  to  Clinical  Application

   Author : Chunliang Wang; Örjan Smedby; Anders Persson; Hans Frimmel; Evert-jan Vonken; Linköpings universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Vessel segmentation; coronary CTA; fuzzy connectedness; level set; coronary artery disease; Image analysis; Bildanalys; Radiological research; Radiologisk forskning;

   Abstract : Advances in coronary Computed Tomography Angiography (CTA) have resulted in a boost in the use of this new technique in recent years, creating a challenge for radiologists due to the increasing number of exams and the large amount of data for each patient. The main goal of this study was to develop a computer tool to facilitate coronary CTA analysis by combining knowledge of medicine and image processing, and to evaluate the performance in clinical settings. READ MORE

4. 2. Computer Assisted Coronary CT Angiography Analysis : Disease-centered Software Development

   Author : Chunliang Wang; Örjan Smedby; Anders Persson; Hans Frimmel; Markus Müller; Linköpings universitet; []
   Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Coronary CTA; vessel segmenation; centerline tracking; visualization; Radiology; Radiologi; Image analysis; Bildanalys; Cardiology; Kardiologi;

   Abstract : The substantial advances of coronary CTA have resulted in a boost of use of this new technique in the last several years, which brings a big challenge to radiologists by the increasing number of exams and the large amount of data for each patient. The main goal of this study was to develop a computer tool to facilitate coronary CTA analysis by combining knowledge of medicine and image processing. 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. Methods for the analysis and characterization of brain morphology from MRI images

   Author : Irene Brusini; Chunliang Wang; Örjan Smedby; Eric Westman; Lars-Olof Wahlund; Jorge Cardoso; KTH; Karolinska Institutet; Karolinska Institutet; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Brain MRI; Image Segmentation; Machine Learning; Deep Learning; Shape Analysis; Aging; Neurodegeneration; MRT av hjärnan; Bildsegmentering; Maskininlärning; Djupinlärning; Formanalys; Åldrande; Neurodegeneration; Medical Technology; Medicinsk teknologi;

   Abstract : Brain magnetic resonance imaging (MRI) is an imaging modality that produces detailed images of the brain without using any ionizing radiation. From a structural MRI scan, it is possible to extract morphological properties of different brain regions, such as their volume and shape. READ MORE

7. 5. Assessment of predicting blood flow and atherosclerosis in the aorta and renal arteries

   Author : Alexander Fuchs; Lisa Prahl Wittberg; Örjan Smedby; Chunliang Wang; Anders Persson; Elazer Edelman; KTH; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Blodflödessimulering; Åderförkalkning; Väggskjuvspänning; Blodrehologiska modeller; Engineering Mechanics; Teknisk mekanik;

   Abstract : Cardiovascular diseases (CVD) are the most common cause of death in large parts of the world. Atherosclerosis (AS) has a major part in most CVDs. AS is a slowly developingdisease which is dependent on multiple factors such as genetics and life style (food, smoking, and physical activities). READ MORE