Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Compacting Factor test01:22

Compacting Factor test

The compacting factor test is a method used to assess the workability of concrete. It is  especially suitable for concrete mixes containing aggregates up to one and a half inches in size. This test involves specialized equipment consisting of two truncated cone-shaped hoppers and a cylinder, all with polished interior surfaces to minimize friction.
The procedure begins by placing concrete into the upper hopper without any compaction. Once filled, the bottom door of this hopper is opened,...
Beams with Symmetric Loadings01:15

Beams with Symmetric Loadings

The moment-area method is an analytical tool used in structural engineering to determine the slope and deflection of beams under various loads. Consider a cantilever with a concentrated load and moment at the free end. The first step is constructing a free-body diagram to calculate the reactions at the fixed end. Next, the bending moment diagram is plotted to visualize how the bending moment varies along the beam's length, focusing on points where the bending moment equals zero.
The M/EI...
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
Prismatic Beams: Problem Solving01:15

Prismatic Beams: Problem Solving

In the design of a supported timber beam subjected to a distributed load, both the beam's physical dimensions and the timber's characteristics, such as its grade and species, are critical. These factors determine the allowable stress values, which are crucial for calculating the necessary beam depth to ensure structural integrity and safety.
The design begins with analyzing the beam as a free body to identify moments and force balances, thereby determining support reactions. Next, the designer...
Partial Fractions01:28

Partial Fractions

A partial fraction is a component of a rational expression represented as the sum of simpler fractions. When a rational function is expressed as a ratio of two polynomials, it can often be decomposed into a sum of fractions whose denominators are simpler polynomials, typically linear or irreducible quadratic factors. This process is called partial fraction decomposition, and it is used to simplify complex expressions for integration, solving equations, or analysis.Partial fraction decomposition...
Fundamental Theorem of Algebra01:30

Fundamental Theorem of Algebra

The Fundamental Theorem of Algebra is central to the study of polynomial equations, asserting that every non-constant polynomial with complex coefficients has at least one complex zero. This means that a polynomial of degree n ≥ 1, written as:  with an ≠ 0, has at least one solution in the complex number system. Since the set of real numbers is a subset of complex numbers, this theorem applies equally to polynomials with real coefficients.Building on this result, the Complete Factorization...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Occult fractures of the tibial plateau: 3D augmented X-ray pilot study.

Emergency radiology·2026
Same author

Evaluating the diagnostic performance of 3D radiographs in emergency department extremity imaging: an early comparative study.

Emergency radiology·2026
Same author

A novel projection data domain material decomposition method for dual-energy CT and its impact on the accuracy of attenuation values.

Physics in medicine and biology·2026
Same author

Ideal observer estimation for binary tasks with stochastic object models.

Physics in medicine and biology·2026
Same author

Deep Learning Subtraction Angiography: Improved Generalizability with Transfer Learning.

Journal of vascular and interventional radiology : JVIR·2022
Same author

Linearized Analysis of Noise and Resolution for DL-Based Image Generation.

IEEE transactions on medical imaging·2022
Same journal

Correction to "On the shape of the radiation survival curve in tumor spheroids: The role of oxygen heterogeneity".

Medical physics·2026
Same journal

Multi-view constrained semi-supervised vertebra detection for 3D ultrasound spine volume.

Medical physics·2026
Same journal

Accuracy of quantitative <sup>177</sup>Lu SPECT/CT imaging: A systematic review.

Medical physics·2026
Same journal

Physics-constrained dual-domain network for CBCT reconstruction from orthogonal X-rays in gynecologic radiotherapy.

Medical physics·2026
Same journal

Decomposition-based harmonization for quantitative PET imaging across scanners and radiotracers.

Medical physics·2026
Same journal

Development and evaluation of an in vivo dose-based monitoring system for electron FLASH radiation therapy.

Medical physics·2026
See all related articles

Related Experiment Video

Updated: May 28, 2026

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images
05:49

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images

Published on: February 23, 2024

Cone-beam artifact evaluation of the factorization method.

Frank Dennerlein1, Frédéric Noo

  • 1Siemens AG, Healthcare Sector, Siemensstrasse 1, D-91301 Forchheim, Germany. frank.dennerlein@siemens.com

Medical Physics
|October 8, 2011
PubMed
Summary
This summary is machine-generated.

The factorization method significantly reduces cone-beam artifacts and reconstruction bias in computed tomography imaging compared to FDK methods. This approach improves image quality, especially in clinical applications, with minimal sensitivity to scan orientation.

More Related Videos

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads
07:58

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads

Published on: July 25, 2025

Multimodal Approach to Assess Bone Regeneration and Scaffold Performance
06:54

Multimodal Approach to Assess Bone Regeneration and Scaffold Performance

Published on: February 13, 2026

Related Experiment Videos

Last Updated: May 28, 2026

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images
05:49

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images

Published on: February 23, 2024

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads
07:58

Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads

Published on: July 25, 2025

Multimodal Approach to Assess Bone Regeneration and Scaffold Performance
06:54

Multimodal Approach to Assess Bone Regeneration and Scaffold Performance

Published on: February 13, 2026

Area of Science:

  • Medical Imaging
  • Computed Tomography
  • Image Reconstruction

Background:

  • Circular cone-beam computed tomography (CBCT) is crucial for medical imaging.
  • Artifacts in CBCT image reconstruction can degrade diagnostic accuracy.
  • Existing methods like FDK have limitations in artifact reduction and orientation sensitivity.

Purpose of the Study:

  • To investigate the behavior of a factorization approach for CBCT image reconstruction.
  • To evaluate its performance in reducing cone-beam (CB) artifacts.
  • To compare its efficacy against established methods using simulated, phantom, and clinical data.

Main Methods:

  • Quantitative assessment of artifacts using figures-of-merit on phantoms (FORBILD head, disk).
  • Visual assessment of image quality on thorax phantom and clinical head datasets.
  • Comparison with short-scan FDK, full-scan FDK, and virtual PI-line BPF methods.

Main Results:

  • Factorization approach significantly reduces reconstruction bias and orientation dependency compared to FDK methods.
  • Visual assessment shows improved clinical image quality, particularly in challenging regions like near the spine.
  • The method demonstrates robustness against real-world data inconsistencies (scatter, beam hardening).

Conclusions:

  • The factorization method offers superior image quality in CBCT compared to short-scan FDK.
  • It exhibits lower reconstruction bias and reduced sensitivity to scan orientation.
  • Minor high-frequency artifacts are observed, but overall performance is enhanced, even with real-world data.