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Imaging Studies III: Computed Tomography

Imaging Studies III: Computed Tomography

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...

Computed Tomography

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

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Related Experiment Video

Updated: May 11, 2026

Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo

Simultaneous Brightfield, Fluorescence, and Optical Coherence Tomographic Imaging of Contracting Cardiac Trabeculae Ex Vivo

Published on: October 2, 2021

Coded aperture compressive temporal imaging.

Patrick Llull¹, Xuejun Liao, Xin Yuan

¹Fitzpatrick Institute for Photonics, Department of Electrical and Computer Engineering Duke University, 129 Hudson Hall, Durham, North Carolina 27708, USA.

|May 15, 2013

Summary

This summary is machine-generated.

Mechanical translation of a coded aperture enables code division multiple access video compression. This method reconstructs over 10 frames of temporal data per snapshot, enhancing video analysis.

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Last Updated: May 11, 2026

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Area of Science:

Optics and Photonics
Video Compression Technologies
Signal Processing

Background:

Coded aperture imaging offers a unique approach to data acquisition.
Video compression is crucial for efficient data storage and transmission.
Code division multiple access (CDMA) is a multiplexing technique used in various communication systems.

Purpose of the Study:

To investigate the application of mechanical translation of a coded aperture for video compression using code division multiple access.
To analyze the temporal resolution of the compressed video data.
To demonstrate the feasibility of reconstructing multiple video frames from a single coded snapshot.

Main Methods:

Utilizing a mechanically translated coded aperture for image acquisition.
Implementing code division multiple access principles for data compression.
Developing algorithms for video reconstruction from compressed data.

Main Results:

Successful compression of video data using the described mechanical coded aperture system.
Experimental validation of reconstructing more than 10 frames of temporal data per coded snapshot.
Analysis of the trade-offs between compression ratio and temporal resolution.

Conclusions:

Mechanical translation of coded apertures provides a viable method for CDMA video compression.
The technique allows for efficient capture and reconstruction of temporal video information.
This approach has potential applications in high-frame-rate imaging and video analysis.