Image Analysis for Nail-fold Capillaroscopy
Independent thesis Advanced level (degree of Master (Two Years)), 80 credits / 120 HE creditsStudent thesis
Detection of diseases in an early stage is very important since it can make the treatment of patients easier, safer and more ecient. For the detection of rheumatic diseases, and even prediction of tendencies towards such diseases, capillaroscopy is becoming an increasingly recognized method. Nail-fold capillaroscopy is a non-invasive imaging technique that is used for analysis of microcirculation abnormalities that may lead todisease like systematic sclerosis, Reynauds phenomenon and others.
The main goal of this master thesis project is to provide new tools and techniques for the analysis of capillaroscopy images from the nail-fold area. Image processing and machine learning techniques are applied to images obtained by digital microscopes, like Mediscope as produced by Optilia Instruments AB, Sollentuna. This thesis oers a novel way for segmentation of capillaries from images as well as (semi)automatic capillary width calculation and automatic annotation of capillaries. These tools provide new insights into the structure of capillaries and also reduce the time required for measurement/annotation of capillaries.
Place, publisher, year, edition, pages
2015. , 55 p.
TRITA-EE, ISSN 1653-5146 ; 2015:58
Image analysis, capillaroscopy
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-174868OAI: oai:DiVA.org:kth-174868DiVA: diva2:859593
Subject / course
Information and Communication Technology
Master of Science in Engineering - Information and Communication Technology
2015-08-19, A:367, Osquldas väg 10, Stockholm, 13:00 (English)