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

Virtual Work for a System of Connected Rigid Bodies01:06

Virtual Work for a System of Connected Rigid Bodies

598
Virtual work is a powerful method used to solve problems involving several connected rigid bodies. When the system is in equilibrium, virtual work is zero. This allows the calculation of the resulting forces when a system undergoes a virtual displacement. When attempting to analyze such a system, first, use a free-body diagram, where an independent coordinate represents the configuration of the links, and mark its deflected position resulting from the positive virtual displacement.
Next,...
598
Deconvolution01:20

Deconvolution

432
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
432
Three-Dimensional Force System:Problem Solving01:30

Three-Dimensional Force System:Problem Solving

1.2K
A three-dimensional force system refers to a scenario in which three forces act simultaneously in three different directions. This type of problem is commonly encountered in physics and engineering, where it is necessary to calculate the resultant force on the system, which can then be used to predict or analyze the behavior of the object or structure under consideration.
To solve a three-dimensional force system, first resolve each force into its respective scalar components. Do this using...
1.2K
Bending of Material: Problem Solving01:09

Bending of Material: Problem Solving

401
In this lesson, determine the ratio of the maximum bending moments applied to two metal pipes, given that both pipes can withstand a maximum stress of 100 MPa. Both pipes have an outer radius of 1.8 cm. Pipe A has an inner radius of 1.5 cm, and Pipe B has an inner radius of 1 cm. The ratio of the maximum bending moment applied to two metallic pipes, each with a different inner and outer radius, is determined by considering their dimensions. The inner radius of the first pipe is 1.5 cm, and for...
401
Composite Bodies00:55

Composite Bodies

1.3K
A composite body is a body made up of multiple parts, connected to form a larger, unified object. Each part has its own weight and center of gravity, which must be considered to determine the center of gravity of the composite body. In cases where the density or specific weight is constant, the center of gravity coincides with the centroid.
Composite bodies have widespread applications in mechanical engineering, from automobiles to aircraft to rockets. For example, an automobile wheel comprises...
1.3K
Plastic Deformations of Members with a Single Plane of Symmetry01:21

Plastic Deformations of Members with a Single Plane of Symmetry

250
When a structural member undergoes plastic deformation due to bending, it is crucial to understand the position of the neutral axis and the stress distribution. This member, characterized by a single plane of symmetry, exhibits a uniform stress distribution, with negative stress above the neutral axis and positive stress below. Notably, the neutral axis does not align with the centroid of the cross-section. This misalignment is typical in cases where the cross-section is not rectangular or...
250

You might also read

Related Articles

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

Sort by
Same author

Dyslexia Knowledge, Attitudes and Self-Efficacy Among Chinese Mainstream School Teachers.

Dyslexia (Chichester, England)·2026
Same author

Polylactic Acid-Based Biodegradable Room-Temperature Phosphorescent Materials: A Review.

Chemistry (Weinheim an der Bergstrasse, Germany)·2026
Same author

CaSAP8-CaDSK2a Negative Feedback Loop Modulates Pepper Thermotolerance by Integrating Transcriptional Repression and Protein Degradation.

Plant, cell & environment·2026
Same author

Theoretical Prediction of Bias in Model-Based Material Decomposition.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same author

Amputation Risk Prediction Tools for Patients With Diabetic Foot: A Systematic Review.

Advances in skin & wound care·2026
Same author

One-Step Material Decomposition Using Spectral Diffusion Posterior Sampling in Sparse-View Dual-Layer CT.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

AVA: Automated Viewability Analysis for Ureteroscopic Intrarenal Surgery.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Kidney Endoscopy Video to Preoperative CT Alignment for Depth Estimation.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Deep learning‑based cell type prediction in lung tissue from brightfield histology using CODEX-derived labels.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Reconstructing physiological signals from fMRI across the adult lifespan.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Axially Swept Light-Sheet Microscopy using scattering and fluorescence contrast mechanisms.

Proceedings of SPIE--the International Society for Optical Engineering·2026
Same journal

Analytic Bounds on GAMLSS Model Variability of Normative White Matter Brain Charts.

Proceedings of SPIE--the International Society for Optical Engineering·2026
See all related articles

Related Experiment Video

Updated: Dec 2, 2025

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

2.1K

Model-based Material Decomposition with System Blur Modeling.

Wenying Wang1, Matthew Tivnan1, Grace J Gang1

  • 1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205.

Proceedings of Spie--The International Society for Optical Engineering
|November 6, 2020
PubMed
Summary
This summary is machine-generated.

We developed a new model-based material decomposition (MBMD) for x-ray CT that accounts for system blur. This method improves spatial resolution and reduces material cross-talk, enhancing diagnostic accuracy in spectral CT imaging.

More Related Videos

Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing
09:39

Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing

Published on: June 28, 2024

1.4K
High-Throughput Metabolic Profiling for Model Refinements of Microalgae
11:07

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

4.1K

Related Experiment Videos

Last Updated: Dec 2, 2025

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

2.1K
Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing
09:39

Characterizing Dissipative Elastic Metamaterials Produced by Additive Manufacturing

Published on: June 28, 2024

1.4K
High-Throughput Metabolic Profiling for Model Refinements of Microalgae
11:07

High-Throughput Metabolic Profiling for Model Refinements of Microalgae

Published on: December 4, 2021

4.1K

Area of Science:

  • Medical Imaging
  • Computational Imaging
  • X-ray Computed Tomography

Background:

  • X-ray CT systems often face challenges with spatial resolution, particularly in spectral CT where different energy channels may have varying resolutions.
  • Material decomposition aims to identify and quantify different materials within an object from CT data, but is sensitive to spatial resolution differences.

Purpose of the Study:

  • To introduce a novel model-based material decomposition (MBMD) approach for x-ray CT that explicitly incorporates system blur into the measurement model.
  • To evaluate the impact of including blur in the MBMD forward model on spatial resolution and material decomposition accuracy, especially in dual-layer detector systems.

Main Methods:

  • Developed a new MBMD algorithm that includes system blur within the reconstruction forward model.
  • Applied and compared the new MBMD approach with a standard MBMD (without blur modeling) on a dual-layer detector x-ray CT system.
  • Conducted both qualitative and quantitative performance assessments, including analysis of reconstructed line pairs and material cross-talk.

Main Results:

  • The MBMD approach incorporating blur modeling demonstrated improved recovery of high-resolution structures compared to the non-blur-modeled approach.
  • Blur modeling significantly reduced cross-talk bias between material bases, which is typically caused by spatial resolution mismatches between spectral channels.
  • Quantitative analysis confirmed enhanced spatial resolution in the material density estimates.

Conclusions:

  • Incorporating system blur into the MBMD measurement model is crucial for improving spatial resolution in material decomposition images.
  • This enhanced MBMD technique offers potential for improved diagnostic capabilities in clinical tasks requiring high-resolution spectral CT imaging.
  • The method is particularly beneficial for spectral CT systems where different spectral channels exhibit disparate spatial resolutions.