1 AIT Asian Institute of Technology

Anatomical sketch segmentation : local refinement method

AuthorPhatthanaphong Chomphuwiset
Call NumberAIT Thesis no.CS-06-05
Subject(s)Human anatomy--Drawing--Computer programs

NoteA thesis submitted in partial fulfillment of the requirements for the degree of Master of Science, School of Engineering and Technology
PublisherAsian Institute of Technology
Series StatementThesis ; no. CS-06-05
AbstractSketching is ubiquitous in medicine. Physicians commonly use sketches as part of their note taking in patient records and to help convey diagnoses and treatments to patients. Medical students frequently use sketches to help them think through clinical problems in individual and group problem solving. Applications ranging from automated patient records to medical education software could benefit greatly from the richer and more natural interfaces that would be enabled by the ability to understand sketches. Understanding an anatomical sketch requires the ability to recognize what anatomical structure has been sketched, as well as to identify the anatomical parts and their locations in the sketch, even if the sketch is not to proportion and even if the parts have not been explicitly drawn. This thesis addresses the problem of identifying the anatomical parts, assuming that the structure has already been recognized. Previous work on this problem applied Shape Context based template matching along with thin plate spline global transformation applied to the template. We improve upon the previous work by using robust point matching with local refinement. The new technique results in a closer match between the template and sketch than the previous technique.
Year2006
Corresponding Series Added EntryAsian Institute of Technology. Thesis ; no. CS-06-05
TypeThesis
SchoolSchool of Engineering and Technology (SET)
DepartmentDepartment of Information and Communications Technologies (DICT)
Academic Program/FoSComputer Science (CS)
Chairperson(s)Haddawy, Peter;
Examination Committee(s)Janecek, Paul ;Dailey, Matthew;
Scholarship Donor(s)Royal Thai Government Fellowship ;
DegreeThesis (M.Sc.) - Asian Institute of Technology, 2006


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