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

Related Concept Videos

Computed Tomography

Computed Tomography

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...

Imaging Studies III: Computed Tomography

Imaging Studies III: Computed Tomography

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...

You might also read

Related Articles

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

Sort by

Same author

Investigation of Risk Factors Related to Stroke in the Bangladeshi Population: A Cross-Sectional Study.

Health science reports·2026

Same author

Deep Few-View High-Resolution Photon-Counting CT at Halved Dose for Extremity Imaging.

IEEE transactions on medical imaging·2025

Same author

Author Correction: Study of nitrate levels in fruits and vegetables to assess the potential health risks in Bangladesh.

Scientific reports·2025

Same author

A Proof-of-Concept Solution for Co-locating 2D Histology Images in 3D for Histology-to-CT and MR Image Registration: Closing the Loop for Bone Sarcoma Treatment Planning.

Journal of imaging informatics in medicine·2025

Same author

High-Performance Ti<sub>3</sub>C<sub>2</sub>T<sub></sub>-MXene/Mycelium Hybrid Membrane for Efficient Lead Remediation: Design and Mechanistic Insights.

ACS applied materials & interfaces·2025

Same author

Trauma-informed family carer education and practical skills training in dementia: a systematic scoping review protocol.

BMJ open·2024

Search research articles

Related Experiment Video

Updated: Jul 10, 2026

Measuring the Complete-arch Distortion of an Optical Dental Impression

Measuring the Complete-arch Distortion of an Optical Dental Impression

Published on: May 30, 2019

Investigating Image Distortion and Its Impact on Material Quantification in Photon-counting Computed Tomography.

Rayhan Uddin¹, Marzieh Anjomrouz², Neryda Duncan³

¹Department of Physics and Astronomy, University of Canterbury, Christchurch, New Zealand.

Journal of Medical Physics

|July 9, 2026

Summary

Geometric distortions in photon-counting CT (PCCT) significantly degrade image quality and spectral accuracy. Implementing a comprehensive geometric calibration framework is crucial for reliable material quantification and optimal spectral reconstruction in PCCT systems.

Keywords:

Geometric calibration image distortion photo-counting computed tomography spectral image library

More Related Videos

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans

Published on: September 27, 2020

Related Experiment Videos

Last Updated: Jul 10, 2026

Measuring the Complete-arch Distortion of an Optical Dental Impression

Measuring the Complete-arch Distortion of an Optical Dental Impression

Published on: May 30, 2019

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

Published on: July 17, 2012

Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans

Published on: September 27, 2020

Area of Science:

Medical Imaging
Photon-Counting Computed Tomography (PCCT)

Background:

Photon-counting CT (PCCT) offers simultaneous spatial and spectral imaging for enhanced material discrimination.
Geometric calibration inaccuracies in PCCT can lead to reconstruction distortions, compromising image quality, spectral fidelity, and quantitative material analysis.

Purpose of the Study:

Investigate the impact of scanner-induced geometric distortions on material quantification using a Medipix All Resolution System scanner.
Examine the relationship between spatial image degradation and spectral signal integrity in PCCT.

Main Methods:

Systematically perturbed geometric reconstruction parameters to create intentionally distorted PCCT reconstructions.
Analyzed distortion patterns (edge blurring, shading, ring artifacts) and their effects on spectral signatures and material reconstruction.
Developed and applied a comprehensive geometric calibration framework to mitigate distortions and enhance spectral consistency.

Main Results:

Geometric perturbations caused significant spatial distortions and measurable spectral response degradation.
Distorted reconstructions exhibited reduced material discrimination accuracy and altered spectral signatures.
The proposed calibration approach effectively minimized reconstruction artifacts, improving spatial image quality and spectral reliability.

Conclusions:

Spatial and spectral degradations in PCCT are intrinsically linked.
Accurate geometric calibration is essential for precise material quantification in PCCT.
Optimal spectral reconstruction performance in PCCT relies on robust geometric calibration.