Vessel segmentation
Thesis title in Czech: | Vessel segmentation |
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Thesis title in English: | Vessel segmentation |
Key words: | vessel segmentation, medical data analysis, volume data |
English key words: | vessel segmentation, medical data analysis, volume data |
Academic year of topic announcement: | 2010/2011 |
Thesis type: | diploma thesis |
Thesis language: | angličtina |
Department: | Department of Software and Computer Science Education (32-KSVI) |
Supervisor: | RNDr. Josef Pelikán |
Author: | hidden - assigned and confirmed by the Study Dept. |
Date of registration: | 06.07.2011 |
Date of assignment: | 06.07.2011 |
Confirmed by Study dept. on: | 29.07.2011 |
Date and time of defence: | 06.09.2011 10:30 |
Date of electronic submission: | 05.08.2011 |
Date of submission of printed version: | 05.08.2011 |
Date of proceeded defence: | 06.09.2011 |
Opponents: | RNDr. Jan Kolomazník, Ph.D. |
Guidelines |
Student should read selected sources about vessel segmentation from volume data and visualization in general. Curved planar Reformation (CPR) method will be used as base for further improvements of vessel visualization.
Study of blood vessel calcification would profit from clear and illustrative vessel profile visualization. There are many problems to solve in this project, mainly duct tracking itself, converting the data from 3D volume to 2D plane more suitable for human observers and visualization of the profile able to emphasize the calcifications. Main goal of the thesis is to analyze these problems and design algorithms usable for vessel visualization focused on calcification detection. Software should be well documented (both user and internal documentation). Emphasis should be placed on thorough description of used algorithms (including mathematics) and data structures. |
References |
Doubek Miloš: Sledování arteriálního řečiště na CT datech, 2008, MFF UK
I. N. Bankman: Handbook of Medical Image Processing and Analysis, Elsevier 2009, ISBN 978-0-12-373904-9 Cemil Kirbas, Francis Quek: A review of vessel extraction techniques and algorithms, VISLab, January 2003. http://www.ee.siue.edu/~sumbaug/RetinalProjectPapers/Review%20of%20Blood%20Vessel%20Extraction%20Techniques%20and%20Algorithms.pdf Kanitsar, A.: Curved Planar Reformation for Vessel Visualization, PhD dissertation, TU Wien, 2004 Jaeyoun Yi, Jong Beom Ra : A locally adaptive region growing algorithm for vascular segmentation, International Journal of Imaging Systems and Technology, vol. 13, pages 208-214, June 2003. |