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

Computed Tomography01:10

Computed Tomography

9.3K
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...
9.3K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

580
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...
580

You might also read

Related Articles

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

Sort by
Same author

Discovery of Serum Exosomal Protein Biomarkers for Early- and Late-Stage Lung Cancer Through Comparative Proteomic Analysis.

Anti-cancer agents in medicinal chemistry·2026
Same author

SMUPhantom: a 3D-printable modular CT perfusion phantom for quantitative evaluation of tissue-mimicking dynamic contrast behavior.

Biomedical physics & engineering express·2026
Same author

[Determination of perfluorinated compounds, antibiotics and pesticides in drinking water by automated solid phase extraction with ultra-performance liquid chromatography-tandem mass spectrometry].

Se pu = Chinese journal of chromatography·2026
Same author

Giant Panda Feces-Derived <i>Weissella confusa</i> BSP201703 Protects Mice Against Chronic ETEC Infection by Repairing Intestinal Barrier Function.

Veterinary sciences·2026
Same author

Poorly differentiated thyroid carcinoma: a case report and literature review.

Frontiers in oncology·2026
Same author

Error Detection in Emergency Radiology Reports Using a Large Language Model: Multistage Evaluation Study.

Journal of medical Internet research·2026

Related Experiment Video

Updated: Mar 17, 2026

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

8.6K

[Motion-compensated compressed sensing four-dimensional cone-beam CT reconstruction].

Xuan Yang1, Hua Zhang, Ji He

  • 1Department of Medical Imaging, General Hospital Affiliated to Tianjin Medical University, Tianjin 300070, China.E-mail: libingshuihe@126.com.

Nan Fang Yi Ke Da Xue Xue Bao = Journal of Southern Medical University
|July 21, 2016
PubMed
Summary

Hardware limitations in four-dimensional cone beam computed tomography (4D-CBCT) cause artifacts. This study introduces a multi-phase projection method to improve 4D-CBCT image reconstruction, reducing noise and artifacts effectively.

More Related Videos

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images
09:21

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images

Published on: February 18, 2015

12.7K
High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT
08:57

High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT

Published on: June 21, 2011

19.3K

Related Experiment Videos

Last Updated: Mar 17, 2026

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

8.6K
Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images
09:21

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images

Published on: February 18, 2015

12.7K
High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT
08:57

High Resolution 3D Imaging of Ex-Vivo Biological Samples by Micro CT

Published on: June 21, 2011

19.3K

Area of Science:

  • Medical Imaging
  • Image Reconstruction
  • Computed Tomography

Background:

  • Hardware limitations in four-dimensional cone beam computed tomography (4D-CBCT) result in insufficient projection data per phase.
  • Conventional reconstruction algorithms struggle with artifacts and noise due to limited projection data in 4D-CBCT.

Purpose of the Study:

  • To develop an improved method for reconstructing 4D-CBCT images using multi-phase projections.
  • To address streak artifacts and noise inherent in single-phase reconstruction.

Main Methods:

  • Proposed a novel approach utilizing multi-phase projections for 4D-CBCT image reconstruction.
  • Formulated a cost function incorporating a fidelity term with jointly used multi-phase projection data and TV regularization.
  • Employed the Gradient-Projection-Barzilai-Line search (GPBL) method for optimizing the cost function.

Main Results:

  • The proposed method effectively reduced noise and artifacts in 4D-CBCT images.
  • Reconstruction using multi-phase projections demonstrated superior image quality compared to conventional methods.
  • No new artifacts or motion blur were introduced by incorporating temporal correlation.

Conclusions:

  • The multi-phase projection approach offers a viable solution for enhancing 4D-CBCT image quality.
  • This method overcomes hardware limitations by leveraging temporal correlations across phases.
  • The technique shows promise for improved diagnostic accuracy in 4D-CBCT imaging.