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Related Concept Videos

Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
536

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An Optical Tomography System Using a Digital Signal Processor.

Ruzairi Abdul Rahim1, Chiam Kok Thiam2, Mohd Hafiz Fazalul Rahiman3

  • 1Control & Instrumentation Engineering Department, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor Bahru, Malaysia. ruzairi@fke.utm.my.

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|November 24, 2016
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Summary
This summary is machine-generated.

Digital Signal Processors (DSP) now enable cost-effective optical tomography, reducing reliance on PCs and Data Acquisition Systems (DAQ). This technology facilitates real-time data acquisition and image reconstruction for pipeline analysis.

Keywords:
Optical tomographydigital signal processorimage reconstruction

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Area of Science:

  • Process Tomography
  • Digital Signal Processing
  • Optical Imaging

Background:

  • Traditionally, optical tomography systems heavily relied on personal computers and Data Acquisition Systems (DAQ) for data processing.
  • Advancements in silicon fabrication have led to the development of powerful and cost-effective Digital Signal Processors (DSP).
  • This technological progress presents an opportunity to integrate data acquisition and processing directly within the tomographic system.

Purpose of the Study:

  • To investigate the feasibility of using a Digital Signal Processor (DSP) for data acquisition and image reconstruction in optical tomography.
  • To reduce or eliminate the dependency on external personal computers and DAQ systems in optical tomography applications.
  • To develop a customized DSP system for controlling a 16x16 optical sensor array for pipeline imaging.

Main Methods:

  • A Digital Signal Processor (DSP) was customized to manage the data acquisition from a 16x16 optical sensor array.
  • The sensor array was configured in a parallel beam projection setup.
  • Reconstructed cross-sectional images were transmitted to a personal computer via serial communication for display and offline analysis.

Main Results:

  • The DSP system successfully controlled the data acquisition process for the optical sensor array.
  • Cross-sectional images of a pipeline conveyor were reconstructed using the collected data.
  • The system enabled image display on a laptop, facilitating both real-time viewing and subsequent analysis.

Conclusions:

  • Digital Signal Processors (DSP) offer a viable and cost-effective alternative to traditional PC-based DAQ systems in optical tomography.
  • Integrating data acquisition and processing within a DSP reduces system complexity and external dependencies.
  • The developed DSP-based system provides a flexible platform for optical tomography, supporting real-time imaging and offline analysis.