Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/34450
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dc.titleVisualization of large medical volume data
dc.contributor.authorNGUYEN PHU BINH
dc.date.accessioned2012-08-02T18:00:28Z
dc.date.available2012-08-02T18:00:28Z
dc.date.issued2012-04-12
dc.identifier.citationNGUYEN PHU BINH (2012-04-12). Visualization of large medical volume data. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/34450
dc.description.abstractVisualization of large medical datasets is important in the field of computer aided surgery. It is a challenging problem that requires a solution integrating image processing and computer graphics. This thesis investigated various methods of 4-D medical image compression including clustering-based compression, and a new dynamic data compression method using motion compensation and hierarchical vector quantization. This method can achieve a higher fidelity and faster decompression time compared to existing methods with comparable compression ratios. With real-time decompression, we are able to achieve interactive rendering of very large 4-D medical images. The thesis also addresses the problem of interactive rendering of medical images with a new clustering-based automated transfer function generation algorithm that makes use of the image features in the dataset. The image-based visualization solution which we investigated in this thesis is demonstrated in an application on computer graphical simulation of vascular drug flow.
dc.language.isoen
dc.subjectvisualization, volume rendering, transfer function, volume compression, flow simulation, clustering
dc.typeThesis
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.contributor.supervisorONG SIM HENG
dc.contributor.supervisorCHUI CHEE KONG
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Ph.D Theses (Open)

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