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

Synthesis and Decomposition Reactions02:17

Synthesis and Decomposition Reactions

38.2K
Synthesis and decomposition are two types of redox reactions. Synthesis means to make something, whereas decomposition means to break something. The reactions are accompanied by chemical and energy changes. 
38.2K
Passive Filters01:27

Passive Filters

1.0K
Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff...
1.0K
Active Filters01:25

Active Filters

1.3K
Active filters are electronic circuits that use operational amplifiers (op-amps), resistors, and capacitors to filter out unwanted frequency components from a signal. A first-order low-pass active filter is designed to pass signals with a frequency lower than a certain cutoff frequency and attenuate frequencies higher than that cutoff frequency. The transfer function for a first-order low-pass active filter is:
1.3K
Members Made of Elastoplastic Material01:19

Members Made of Elastoplastic Material

400
The behavior of elastoplastic materials under bending stresses, particularly in structural members with rectangular cross-sections, is crucial for predicting material responses and understanding failure modes. Initially, when a bending moment is applied, the stress distribution across the section follows Hooke's Law and is linear and elastic. This distribution means the stress increases from the neutral axis to the maximum at the outer fibers, up to the elastic limit.
As the bending moment...
400
Genetic Material01:20

Genetic Material

3.7K
Within the human body, a complex and detailed system of trillions of cells works in unison to sustain life. Each cell houses a nucleus, which contains 46 chromosomes divided into 23 pairs. Chromosomes are highly coiled structures made of the genetic material DNA. These chromosomes are essential carriers of genetic information, with half inherited from the mother through her egg and the other half from the father's sperm, combining to create the unique genetic makeup of an individual.
3.7K
Bending of Members Made of Several Materials01:11

Bending of Members Made of Several Materials

611
In analyzing a structural member composed of two different materials with identical cross-sectional areas, it is crucial to understand how their distinct elastic properties affect the member's response under load. The analysis involves assessing stress and strain distributions using the transformed section concept, which accounts for variations in material properties.
Hooke's Law determines stress in each material, stating that stress is proportional to strain but varies due to each material's...
611

You might also read

Related Articles

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

Sort by
Same author

Theoretical Prediction of Bias in Model-Based Material Decomposition.

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

Joint Estimation of Scatter Distribution and Material Maps in Volumetric Dual-Layer Cone-Beam CT.

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

Evaluation of Fluence Reduction versus Sparsity for Diffusion Posterior Sampling Reconstruction in Low-Dose CT.

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

Diffusion Posterior Sampling for Tomographic Reconstruction with Mixed Resolution Priors.

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

Using a Physics-Based Approach to Standardize Radiomics Values: Experimental Validation in an Anthropomorphic Phantom on a Clinical CT Scanner Using a Range of Dose Levels and Reconstruction Kernels.

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

Noise Controlled CT Super-Resolution with Conditional Diffusion Model.

Conference proceedings. International Conference on Image Formation in X-Ray Computed Tomography·2025
Same journal

Hybrid Spectral CT: Combining rapid kVp-switching and dual-layer detectors for high sensitivity iodine imaging.

Conference proceedings. International Conference on Image Formation in X-Ray Computed Tomography·2025
Same journal

Optimizing Conditional DDPM for Head CT Motion Artifact Reduction: Brain vs. Skull and 3D vs. 2D.

Conference proceedings. International Conference on Image Formation in X-Ray Computed Tomography·2025
Same journal

Long-term quantitative stability of a first-generation dual-source photon-counting CT.

Conference proceedings. International Conference on Image Formation in X-Ray Computed Tomography·2025
Same journal

Quantitative metal artifact reduction algorithm for spectral CT thermometry.

Conference proceedings. International Conference on Image Formation in X-Ray Computed Tomography·2025
Same journal

Spectral quantification in different lumen diameters for cardiovascular applications.

Conference proceedings. International Conference on Image Formation in X-Ray Computed Tomography·2025
See all related articles

Related Experiment Video

Updated: Feb 1, 2026

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
11:57

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Published on: May 20, 2013

14.0K

Model-based Multi-material Decomposition using Spatial-Spectral CT Filters.

J Webster Stayman1, Steven Tilley1

  • 1Biomedical Engineering, Johns Hopkins University, Baltimore, MD.

Conference Proceedings. International Conference on Image Formation in X-Ray Computed Tomography
|December 4, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces spatial-spectral filters for spectral CT, enabling simultaneous imaging of multiple contrast agents. This novel approach simplifies hardware and enhances spectral CT performance.

More Related Videos

Characterization Of Multi-layered Fish Scales Atractosteus spatula Using Nanoindentation, X-ray CT, FTIR, and SEM
10:06

Characterization Of Multi-layered Fish Scales Atractosteus spatula Using Nanoindentation, X-ray CT, FTIR, and SEM

Published on: July 10, 2014

15.6K
Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway
11:25

Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway

Published on: March 7, 2022

5.3K

Related Experiment Videos

Last Updated: Feb 1, 2026

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
11:57

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Published on: May 20, 2013

14.0K
Characterization Of Multi-layered Fish Scales Atractosteus spatula Using Nanoindentation, X-ray CT, FTIR, and SEM
10:06

Characterization Of Multi-layered Fish Scales Atractosteus spatula Using Nanoindentation, X-ray CT, FTIR, and SEM

Published on: July 10, 2014

15.6K
Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway
11:25

Identification and Quantification of Decomposition Mechanisms in Lithium-Ion Batteries; Input to Heat Flow Simulation for Modeling Thermal Runaway

Published on: March 7, 2022

5.3K

Area of Science:

  • Medical Imaging
  • Physics
  • Computer Science

Background:

  • Spectral CT utilizes energy-discriminating detectors for enhanced material differentiation.
  • Current methods face challenges in simultaneously imaging multiple contrast agents.

Purpose of the Study:

  • To propose a novel spatial-spectral filtering technique for spectral CT.
  • To enable simultaneous imaging of multiple contrast agents with simplified hardware.

Main Methods:

  • Implementing "source-side" spatial-spectral filters to generate multiple beamlets with distinct spectra.
  • Employing model-based material decomposition for direct reconstruction of material densities from projection data.
  • Conducting simulation studies for three- and four-material decomposition.

Main Results:

  • Demonstrated the feasibility of the spatial-spectral filtering technique through simulations.
  • Showcased potential for simultaneous multi-contrast agent imaging.
  • Indicated improved spectral CT performance and flexibility.

Conclusions:

  • The spatial-spectral filtering technique offers a promising approach for advanced spectral CT applications.
  • This method can potentially simplify hardware requirements for multi-contrast imaging.
  • It provides enhanced control and flexibility, improving overall spectral CT capabilities.