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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...
Positron Emission Tomography01:29

Positron Emission Tomography

Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body being...
Imaging Studies II: Positron Emission Tomography and Scintigraphy01:25

Imaging Studies II: Positron Emission Tomography and Scintigraphy

Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
Fundamental Principles of PET

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Related Experiment Video

Updated: May 11, 2026

Cone Beam Intraoperative Computed Tomography-based Image Guidance for Minimally Invasive Transforaminal Interbody Fusion
05:37

Cone Beam Intraoperative Computed Tomography-based Image Guidance for Minimally Invasive Transforaminal Interbody Fusion

Published on: August 6, 2019

Trajectory optimization for intra-operative nuclear tomographic imaging.

Jakob Vogel1, Tobias Lasser, José Gardiazabal

  • 1Computer Aided Medical Procedures (CAMP), Technische Universität München, Boltzmannstraße 3, 85748 Garching b. München, Germany.

Medical Image Analysis
|May 28, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a real-time method for optimizing detector positions in intra-operative SPECT imaging. The approach enhances image reconstruction quality by ensuring optimal detector trajectories during freehand mobile acquisition.

Keywords:
Image reconstruction (iterative)Medical roboticsNuclear imagingOptimization

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Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Computational Imaging

Background:

  • Diagnostic nuclear imaging, such as SPECT, traditionally uses gantries for dense detector sampling.
  • Intra-operative settings with mobile detectors require optimized acquisition trajectories for well-posed tomographic reconstruction.

Purpose of the Study:

  • To develop an incremental optimization method for real-time calculation of optimal detector positions during intra-operative SPECT acquisition.
  • To improve the well-posedness of the inverse problem in tomographic reconstruction for freehand mobile detectors.

Main Methods:

  • An incremental optimization method was proposed, utilizing the numerical condition of the system matrix.
  • The method calculates optimal detector positions in real-time during acquisition.
  • Performance was evaluated using simulations and a phantom experiment with a robot-controlled setup.

Main Results:

  • The proposed method demonstrated the ability to calculate optimal detector positions incrementally.
  • Simulations showed the effectiveness of the optimization approach.
  • A phantom experiment confirmed the feasibility of the real-time optimization for intra-operative SPECT.

Conclusions:

  • The developed method offers a feasible solution for optimizing detector trajectories in intra-operative SPECT.
  • Real-time optimization of detector positions can enhance image reconstruction quality in mobile imaging scenarios.
  • This approach addresses the challenges of freehand detector acquisition in nuclear medicine.