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Related Concept Videos

Computed Tomography01:10

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...
Imaging Studies III: Computed Tomography01:27

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...

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Related Experiment Video

Updated: Jun 4, 2026

Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera
06:28

Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera

Published on: January 30, 2020

An accelerated threshold-based back-projection algorithm for compton camera image reconstruction.

Daniel W Mundy1, Michael G Herman

  • 1Department of Radiation Oncology, Mayo Clinic, Rochester Minnesota 55905, USA.

Medical Physics
|March 3, 2011
PubMed
Summary
This summary is machine-generated.

A new threshold-based algorithm significantly speeds up Compton camera imaging (CCI) by reducing computation time by 75% for radiotherapy dose verification. This fast image reconstruction method offers potential for real-time applications.

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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Related Experiment Videos

Last Updated: Jun 4, 2026

Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera
06:28

Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera

Published on: January 30, 2020

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Area of Science:

  • Medical Physics
  • Image Reconstruction
  • Radiotherapy Verification

Background:

  • Compton camera imaging (CCI) systems are crucial for radiotherapy dose verification.
  • Real-time imaging during dose delivery is limited by computational speed of image reconstruction algorithms.

Purpose of the Study:

  • To present a fast and simple method for generating initial back-projected images from CCI data.
  • To compare its performance against the current state-of-the-art.

Main Methods:

  • Developed a threshold-based algorithm to approximate conical surface intersections with image planes.
  • Generated a 3D back-projection image by repeating the process for each detector event and image plane.
  • Compared performance against a known fast and accurate marching algorithm.

Main Results:

  • The threshold-based algorithm is approximately four times faster than the state-of-the-art.
  • Image quality has a minimal deficit, with some limitations in specific image slices.
  • Back-projected events for a simulated point source intersected the correct voxel, with similar FWHM to the marching method.

Conclusions:

  • The 75% reduction in computation time outweighs the slight deficit in image quality.
  • Optimizing the threshold function is key to accuracy and suitability for large-scale image reconstruction.
  • Potential for real-time dose verification in radiation therapy when implemented in a parallel-computing environment.