Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: May 13, 2026

X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells

X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells

Published on: August 20, 2019

Quantitative material characterization from multi-energy photon counting CT.

Adam M Alessio¹, Lawrence R MacDonald

¹University of Washington, Seattle, Washington 98105, USA. aalessio@uw.edu

Medical Physics

|March 8, 2013

Summary

This summary is machine-generated.

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

Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection.

Radiology·2025

Same author

Near-pair patch generative adversarial network for data augmentation of focal pathology object detection models.

Journal of medical imaging (Bellingham, Wash.)·2024

Same author

Phantom and methodology for comparison of small lesion detectability in PET.

Medical physics·2022

Same author

Multi-Objective Evolutionary Algorithm for PET Image Reconstruction: Concept.

IEEE transactions on medical imaging·2021

Same author

Patient factors and outcomes associated with discordance between quantitative and qualitative cardiac PET ischemia information.

PloS one·2021

Same author

Use of Dual-Energy CT for Quantification of Essential Trace Metals (Iron, Copper, and Zinc): Proof of Concept.

AJR. American journal of roentgenology·2020

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

This study introduces a new method to analyze multi-energy CT images, accurately quantifying water, fat, and calcium in soft tissues. This technique aids in detailed tissue characterization and disease assessment.

Area of Science:

Medical Imaging
Radiology
Biophysics

Background:

Multi-energy CT (MECT) offers advanced material decomposition capabilities.
Characterizing soft-tissue composition is crucial for accurate diagnosis and treatment planning.

Purpose of the Study:

To develop and validate a method for quantifying soft-tissue components (water, fat, calcium) using MECT spectral signatures.
To demonstrate the application of image-domain decomposition for soft-tissue characterization.

Main Methods:

Applied projection and image-domain decomposition techniques to MECT data.
Utilized a prototype photon counting CT system for image acquisition.
Evaluated a novel content-aware method alongside existing approaches on phantom and ex vivo data.

More Related Videos

In Depth Analyses of LEDs by a Combination of X-ray Computed Tomography (CT) and Light Microscopy (LM) Correlated with Scanning Electron Microscopy (SEM)

In Depth Analyses of LEDs by a Combination of X-ray Computed Tomography (CT) and Light Microscopy (LM) Correlated with Scanning Electron Microscopy (SEM)

Published on: June 16, 2016

Related Experiment Videos

Last Updated: May 13, 2026

X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells

X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells

Published on: August 20, 2019

In Depth Analyses of LEDs by a Combination of X-ray Computed Tomography (CT) and Light Microscopy (LM) Correlated with Scanning Electron Microscopy (SEM)

In Depth Analyses of LEDs by a Combination of X-ray Computed Tomography (CT) and Light Microscopy (LM) Correlated with Scanning Electron Microscopy (SEM)

Published on: June 16, 2016

Main Results:

Successfully classified image regions into air, water+fat, water+fat+iodine, and water+calcium.
Generated quantitative concentration maps with low bias (<0.10 ± 0.15 g/cc for water/oil).
Identified water, lipid, and calcium deposits in carotid endarterectomy plaque specimens.

Conclusions:

The proposed methodology effectively decomposes MECT images into quantitative maps of water, adipose, iodine, and calcium.
This technique shows promise for detailed soft-tissue analysis and characterization.