Author, Institution: Indrė Drulytė, Kaunas University of Technology
Science area, field of science: Technological Sciences, Measurement Engineering, T010
Scientific Supervisor: Prof. Dr. Renaldas Raišutis (Kaunas University of Technology, Technological Sciences, Measurement Engineering – T 010).
Scientific Advisor: Assoc. Prof. Dr. Tomas Ruzgas (Kaunas University of Technology, Natural Sciences, Mathematics – N 001).
Dissertation Defence Board of Measurement Engineering Science Field:
Prof. Dr. Vaidotas Marozas (Kaunas University of Technology, Technological Sciences, Measurement Engineering – T 010), chairman,
Prof. Dr. Eugenijus Kaniušas, (Vienna University of Technology, Technological Sciences, Measurement Engineering – T 010),
Prof. Dr. Habil. Vaiva Lesauskaitė (Lithuanian University of Health Sciences, medical and health sciences, medicine – M 001),
Prof. Dr. Arminas Ragauskas (Kaunas University of Technology, Technological Sciences, Measurement Engineering – T 010),
Prof. Dr. Habil. Minvydas Kazys Ragulskis (Kaunas University of Technology, Natural Sciences, Informatics – N 009).
The doctoral dissertation is available at the library of Kaunas University of Technology (K. Donelaičio St. 20, Kaunas).
The number of people who are diseased by skin melanoma has been increasing faster and faster during the last three decades. The most significant factors that strongly influence skin cancer are genetics and the health history of family, as well as other environmental factors. A focus on the selection of the features and characteristics of lesions of skin tissue provides the possibility to achieve a faster diagnosis, to have more accurate prediction of the disease, to save more people lives and to select an appropriate method of treatment, along with the possibility to diminish the cost of treatment. Ultrasound technologies allow the capture of high accuracy images of human skin. Scanning the human body by ultrasound, echo and its differences are captured, because bones, fat and muscles reflect differently. Reflected ultrasound waves are translated to electric impulses, which help to perform imaging, estimate shape and to analyze boundaries of the lesion. Deeper skin layers can hold very informative data related to the analysis of diagnosing the early stage of melanoma. A newly developed and proposed automatic algorithm based on the synergy of data captured by using two different imaging technologies (ultrasound and digital dermatoscopy) can supplement well-known decision support tools in clinical practice and help to reduce the number of histological examinations and provide important information about the thickness of a skin tumour before planning any surgery.