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

Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

2.5K
Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
2.5K
Computed Tomography01:10

Computed Tomography

5.7K
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...
5.7K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

44
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...
44

You might also read

Related Articles

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

Sort by
Same author

A novel deep-learning approach for monitoring gastrointestinal air variation during radiotherapy in young patients using radiographs.

Physics in medicine and biology·2026
Same author

Spectral virtual non-contrast imaging assisted by artificial intelligence segmentation.

Medical physics·2025
Same author

A systematic characterization of plastic scintillation dosimeters response in magnetic fields: I. Experimental measurements.

Physics in medicine and biology·2025
Same author

A systematic characterization of plastic scintillation dosimeters response in magnetic fields: II. Monte Carlo simulations.

Physics in medicine and biology·2025
Same author

Physics-based energy spectrum optimization (PESO): a new method to model the energy spectrum of a compact ultra-high dose rate electron linac for Monte Carlo dose calculation.

Physics in medicine and biology·2025
Same author

A deep learning framework deploying segment anything to detect pan-cancer mitotic figures from haematoxylin and eosin-stained slides.

Communications biology·2024

Related Experiment Video

Updated: Sep 2, 2025

Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages
08:46

Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages

Published on: April 13, 2016

10.2K

One-step iterative reconstruction approach based on eigentissue decomposition for spectral photon-counting computed

Mikaël Simard1, Hugo Bouchard1,2,3

  • 1Université de Montréal, Département de physique, Montréal, Québec, Canada.

Journal of Medical Imaging (Bellingham, Wash.)
|August 1, 2022
PubMed
Summary
This summary is machine-generated.

A new one-step method for spectral photon-counting computed tomography (SPCCT) tissue characterization using eigentissue decomposition (ETD) offers superior accuracy. This approach enhances proton-stopping power quantification in radiotherapy applications.

Keywords:
eigentissue decompositionone-step reconstructionquantitative imagingradiotherapyspectral photon-counting computed tomographytissue characterization

More Related Videos

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
07:01

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

9.9K
Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy
09:47

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy

Published on: July 15, 2021

5.0K

Related Experiment Videos

Last Updated: Sep 2, 2025

Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages
08:46

Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages

Published on: April 13, 2016

10.2K
3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
07:01

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

9.9K
Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy
09:47

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy

Published on: July 15, 2021

5.0K

Area of Science:

  • Medical Imaging
  • Radiotherapy Physics
  • Computational Imaging

Background:

  • Accurate human tissue characterization is crucial for effective radiotherapy planning.
  • Spectral Photon-Counting Computed Tomography (SPCCT) offers improved material decomposition capabilities.
  • Existing tissue characterization methods for SPCCT can be complex and less accurate.

Purpose of the Study:

  • To develop and validate a novel one-step tissue characterization method for SPCCT.
  • To utilize eigentissue decomposition (ETD) for highly accurate human tissue characterization in radiotherapy.
  • To compare the performance of the proposed method against existing two-step and post-reconstruction approaches.

Main Methods:

  • A one-step eigentissue decomposition (ETD) framework was developed for SPCCT.
  • The method incorporates a Poisson likelihood, spatial prior, and quantitative prior with regularization parameters.
  • Validation was performed using realistic SPCCT simulations, virtual phantoms, and a virtual patient dataset.

Main Results:

  • The one-step ETD framework demonstrated superior accuracy in quantifying proton-stopping power (SPR).
  • Mean absolute bias for SPR was reduced to 0.2% with the optimized one-step method, compared to 0.6% for others.
  • Root Mean Square Error (RMSE) for SPR was significantly lower with the one-step method (1.5%) versus two-step (2.5%-13.3%) and post-reconstruction (3.2%) methods.

Conclusions:

  • Accurate and precise human tissue characterization is achievable with noisy SPCCT data using the proposed one-step ETD method.
  • The one-step framework outperforms traditional two-step and post-reconstruction methods for SPR quantification.
  • This method provides a more accurate and precise approach for tissue characterization in radiotherapy applications.