Master thesis Atomic and Nuclear physics: Eesearch and development of spect and spect CT images segmentation software for automatic detection and extraction of brain tumors using ITK, VTK, QT

In this thesis, the author focussed on providing an application framework to be used in brain segmentation - the process of tumor detection. This constitutes setting up software bundled into a Window machine which is easily distributable. Moreover, a segmentation algorithm was implemented and tested using the provided software. In order to test the bundled software by implementing specific brain segmentation from the literature, the author used CT scans freely available from the database of 108 Central Military Hospital.
Nội dung trích xuất từ tài liệu:
Master thesis Atomic and Nuclear physics: Eesearch and development of spect and spect CT images segmentation software for automatic detection and extraction of brain tumors using ITK, VTK, QT MINISTRY OF EDUCATION VIETNAM ACADEMY OF AND TRAINING SCIENCE AND TECHNOLOGY GRADUATE UNIVERSITY OF SCIENCE AND TECHNOLOGY ----------------------------- Ho Thi Thao RESEARCH AND DEVELOPMENT OF SPECT AND SPECT/CT IMAGES SEGMENTATION SOFTWARE FORAUTOMATIC DETECTION AND EXTRACTION OF BRAIN TUMORS USING ITK, VTK, QT MASTER THESIS: ATOMIC AND NUCLEAR PHYSICS Hanoi - 2019 MINISTRY OF EDUCATION VIETNAM ACADEMY OF AND TRAINING SCIENCE AND TECHNOLOGY GRADUATE UNIVERSITY OF SCIENCE AND TECHNOLOGY ----------------------------- Ho Thi Thao RESEARCH AND DEVELOPMENT OF SPECT AND SPECT/CT IMAGES SEGMENTATION SOFTWARE FORAUTOMATIC DETECTION AND EXTRACTION OF BRAIN TUMORS USING ITK, VTK, QT Major: Atomic and nuclear physics Code: 60440106 MASTER THESIS: ATOMIC AND NUCLEAR PHYSICS SUPERVISORS: Dr. Phan Viet Cuong MSc. Le Tuan Anh Hanoi - 2019 i Confirmation This thesis was written on the basic of my research works carries out atInstitute of Physics, Vietnam Academy of Science and Technology underthe supervision of Dr. Phan Viet Cuong and MSc. Le Tuan Anh. All resultsof other authors that are used in this thesis are cited correctly. April 20, 2018 The author Ho Thi Thao ii Acknowledgements I would like to express my gratitude to all people who have helped andinspired me during my study. This thesis would not have been possiblewithout those supports from many people. First of all, I would like to thank my teachers, Dr. Phan Viet Cuong andMSc Le Tuan Anh, Research and Development Center for Radiationtechnology, Vietnam Atomic Energy Institute, for giving me theopportunity to do within their group, for their guidance, support andconstant encouragement during the entire period of preparation of thisthesis. They had often pointed out the incompleteness of my work andhelped me to improve my understandings on each problem. They taught mea lot about nuclear physics, nuclear medicine, coding and all academic andnon-academic matters. I have been extremely lucky to have supervisorswho cared so much about my work, my study and who responded to myquestions and queries so promptly. I have learned a lot of things from them,and more importantly they showed me that everything can be done, justkeep hard working, keep big dream, keep big courage, keep going on, dayby day . In addition, I would also like to thank all the members at Center forNuclear physics, Institute of Physics, Vietnam Academy of Science andTechnology, for providing the best possible environment for us to studyand research. Finally, I would like to thank Mom, Dad, my brother, for their constantlove and support. My sister has helped me to diminish the fact of beingaway from home by the long telephone calls spent laughing. I would alsolike to thank my friends, Luan, Ha, my sister, Tan,… made my time atVAST a lot more fun. To everybody else who accompanied me throughout my time as astudent: Thank you! Ho Thi Thao iii Abstract Digital Imaging and Communications in Medicine (DICOM) existsas a standard for handling, storing, printing, and transmitting information inmedical imaging. The DICOM files include not only the information ofimages, but also contain a lot of medical-related information. Reading andProcess an image in DICOM format is an important issue for further imageprocessing and visualization. In the field of medical image processing,detection of brain tumor from computed tomography (CT), magneticresonance (MRI), positron emission tomography (PET) or single-photonemission computed tomography (SPECT) is a difficult task due tocomplexity of the brain hence it is one of the top priority goals. In this thesis, the author describes a new method which combinesfour different steps including smoothing, Sobel edge detection, connectedcomponent and finally region growing algorithms for locating andextracting the various lesions in the brain. The computational algorithmwas implemented by INMOFEVV a new software which combines InsightToolkit (ITK) to process input image, Visualization Toolkit (VTK) todisplay and Qt software development framework to build user interface.The main function of software includes reading and displaying DICOMimages as well as performing advanced image processing. It helps toimprove quality and efficiency of the diseases diagnosis. The analysisresults indicate that the proposed method automatically and efficientlydetected the tumor region from brain medical images. It is very clear forphysicians to separate the abnormal from the normal surrounding tissue toget a real identification of related area; improving quality and accuracy ofdiagnosis, which would help to increase success possibility in treatment byearly detection of tumor as well as reducing surgical planning time. Key Words: DICOM, Image Processing, ITK, VTK, QT. ix x Table of contentsAckn ...