High-resolution CT data acquisition software and 3D visualization tool

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Fan, Peng
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Electrical and Computer Engineering

The Department of Electrical and Computer Engineering (ECpE) contains two focuses. The focus on Electrical Engineering teaches students in the fields of control systems, electromagnetics and non-destructive evaluation, microelectronics, electric power & energy systems, and the like. The Computer Engineering focus teaches in the fields of software systems, embedded systems, networking, information security, computer architecture, etc.

The Department of Electrical Engineering was formed in 1909 from the division of the Department of Physics and Electrical Engineering. In 1985 its name changed to Department of Electrical Engineering and Computer Engineering. In 1995 it became the Department of Electrical and Computer Engineering.

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  • Department of Electrical Engineering (1909-1985)
  • Department of Electrical Engineering and Computer Engineering (1985-1995)

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Computer tomography (CT) technology which allows cross sectional imaging of objects without disassemble them plays an important role in diagnostic medicine and industry nondestructive evaluation. Modem CT data acquisition systems can collect a large amount of CT data to construct the interior structure as well as the external surface of an object. 3D visualization is an important tool to understand and analyze these huge data. In this thesis, control software for a high resolution X-ray data acquisition system and a 3D visualization tool and are developed. The high resolution X-ray scan system of the X-ray group at Center of Nondestructive Evaluation consists of motion control, X-ray source, detector and frame grabber. The new amorphous silicon detector is used to replace the image intensifier and CCD camera and provides high resolution X-ray images. The control software developed in this thesis integrates image acquisition, CT scan, automatic scan. Using the modeless dialog and multithread mechanism, it offer users more controls during the scan process and the same functions like histogram based lookup table, slice to manipulate still image as well as real time acquired image. Due to the feature of the large size of volume data, the computation of visualization in 3D is often intensive. Finding an efficient rendering algorithm is critical. This thesis implements and optimizes ray cast volume rendering method to visualization volume CT data on PC. The rendering speed gets improved by using early ray termination, valid projection area check and the boundary box of the dataset on the basic algorithms. Various functions such as histogram lookup table, mapping, region of interest clipping, normalization, transparency are supported in the tool for users to explore and finely understand the data.

Mon Jan 01 00:00:00 UTC 2001