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

You might also read

Related Articles

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

Sort by
Same author

Immunosuppressive therapies adversely affect blood biochemical parameters in patients with inflammatory bowel disease: a meta-analysis.

The Journal of international medical research·2019
Same author

Facile synthesis of Ag-CuO/SBA-15 for aerobic epoxidation of olefins with high activity.

Nanotechnology·2019
Same author

Reinforcement of Polylactic Acid for Fused Deposition Modeling Process with Nano Particles Treated Bamboo Powder.

Polymers·2019
Same author

Comparison of deep learning and human observer performance for detection and characterization of simulated lesions.

Journal of medical imaging (Bellingham, Wash.)·2019
Same author

Bending Flexibility of Moso Bamboo (<i>Phyllostachys Edulis</i>) with Functionally Graded Structure.

Materials (Basel, Switzerland)·2019
Same author

CT Super-Resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble (GAN-CIRCLE).

IEEE transactions on medical imaging·2019
Same journal

Microlocal analysis of non-linear operators arising in Compton CT.

Inverse problems·2026
Same journal

A PINN-driven game-theoretic framework in limited data photoacoustic tomography.

Inverse problems·2025
Same journal

An accelerated preconditioned proximal gradient algorithm with a generalized Nesterov momentum for PET image reconstruction.

Inverse problems·2025
Same journal

Method of moments for 3D single particle <i>ab initio</i> modeling with non-uniform distribution of viewing angles.

Inverse problems·2025
Same journal

Multi-target detection with application to cryo-electron microscopy.

Inverse problems·2025
Same journal

Linearized boundary control method for density reconstruction in acoustic wave equations.

Inverse problems·2024
See all related articles

Related Experiment Video

Updated: Feb 20, 2026

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
07:11

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

Published on: August 19, 2021

3.0K

A framelet-based iterative maximum-likelihood reconstruction algorithm for spectral CT.

Yingmei Wang1, Ge Wang2, Shuwei Mao3

  • 1School of Mathematics, Shandong University, Jinan, Shandong 250100, People's Republic of China.

Inverse Problems
|October 21, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a software-based method for spectral computed tomography (CT) using standard equipment. The novel iterative algorithm reconstructs spectral information from a single scan, aiding cancer diagnosis and improving image quality.

Keywords:
beam-hardening artifactsframeletiterative reconstructionmaximum likelihoodsoft thresholdingspectral CT

More Related Videos

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

1.3K
Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
05:32

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

748

Related Experiment Videos

Last Updated: Feb 20, 2026

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
07:11

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

Published on: August 19, 2021

3.0K
Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

1.3K
Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
05:32

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

748

Area of Science:

  • Medical Imaging
  • Computational Imaging
  • X-ray Physics

Background:

  • Standard computed tomography (CT) lacks spectral information, limiting diagnostic capabilities.
  • Existing hardware solutions like dual-energy CT require specialized equipment or multiple scans.
  • Energy-integrating detectors in standard CT capture polychromatic x-ray data.

Purpose of the Study:

  • To develop a software-based iterative algorithm for reconstructing spectral information from a single standard CT scan.
  • To enable advanced imaging applications such as color CT, spectral attenuation curves, and photoelectric images for improved cancer diagnosis.
  • To provide a hardware-independent solution for spectral CT.

Main Methods:

  • A nonlinear polychromatic acquisition model for x-ray CT was employed.
  • A sparse representation iterative algorithm utilizing a framelet system was developed.
  • The algorithm's convergence properties were theoretically analyzed.

Main Results:

  • The proposed software solution successfully reconstructs spectral information from a single standard CT scan.
  • While individual components (photoelectric, Compton) showed minor reconstruction discrepancies, their composite effect was accurately represented.
  • The method demonstrated intrinsic benefits in beam hardening correction and metal artifact reduction compared to dual-energy CT.
  • Validation was performed using the Shepp-Logan phantom.

Conclusions:

  • The developed iterative algorithm offers a cost-effective software solution for spectral CT without hardware modification.
  • The method provides valuable spectral information for enhanced cancer diagnosis and improved image quality.
  • This work represents the first application of framelet imaging tools to nonlinear inverse problems in CT.