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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...
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...

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Related Experiment Video

Updated: Jul 13, 2026

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy
09:47

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy

Published on: July 15, 2021

Inverse-geometry volumetric CT system with multiple detector arrays for wide field-of-view imaging.

Samuel R Mazin1, Josh Star-Lack, N Robert Bennett

  • 1Department of Electrical Engineering, Stanford University, Stanford, California 94305, USA. smazin@stanford.edu

Medical Physics
|July 28, 2007
PubMed
Summary

Inverse-geometry CT (IGCT) imaging can now achieve a 45 cm field of view with isotropic resolution. This novel approach uses multiple detector arrays to overcome limitations of traditional CT systems.

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Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
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Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

Related Experiment Videos

Last Updated: Jul 13, 2026

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy
09:47

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy

Published on: July 15, 2021

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

Area of Science:

  • Medical Imaging
  • Computed Tomography
  • Inverse-Geometry CT (IGCT)

Background:

  • Conventional volumetric CT requires seconds for thick volume acquisition (>8 cm) at high resolution.
  • Inverse-geometry CT (IGCT) offers potential for single-rotation, isotropic resolution imaging without cone-beam artifacts.
  • IGCT's field of view (FOV) is typically limited by the source array size.

Purpose of the Study:

  • To enhance the in-plane FOV in IGCT systems without increasing source array size.
  • To investigate the use of additional, laterally spaced detector arrays to expand FOV.
  • To optimize detector placement for maximal FOV and uniform sampling.

Main Methods:

  • Proposed a novel IGCT configuration with multiple, laterally spaced detector arrays.
  • Determined optimal detector placement through simulations to maximize FOV and sampling uniformity.
  • Designed and simulated a pre-patient collimator to minimize radiation waste.
  • Reconstructed images from simulated projection data and scanned a physical phantom.

Main Results:

  • Simulations demonstrated that additional detector arrays effectively increase the in-plane FOV.
  • Reconstructions from simulated data showed no artifacts when combining data from multiple detectors.
  • A prototype system achieved a 45 cm in-plane FOV with a 23 cm source array.
  • The system design minimizes wasted radiation.

Conclusions:

  • The proposed multi-detector array IGCT system significantly expands the achievable FOV.
  • This approach overcomes FOV limitations of IGCT while maintaining isotropic resolution and artifact-free imaging.
  • The technology demonstrates feasibility for advanced medical imaging applications.