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

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 Tomography01:27

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...
Positron Emission Tomography01:29

Positron Emission Tomography

Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body being...
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...

You might also read

Related Articles

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

Sort by
Same author

A multi-modal flow phantom for quantitative PET/Spectral CT.

bioRxiv : the preprint server for biology·2026
Same author

Winter-associated downregulation of ovarian NR5A2 correlates with impaired follicle development in the striped hamster (Cricetulus barabensis).

Scientific reports·2026
Same author

Case Report: <i>Listeria monocytogenes meningitis</i> complicated by an acute exacerbation of chronic obstructive pulmonary disease: the key diagnostic role of metagenomic high-throughput sequencing.

Frontiers in medical technology·2026
Same author

Development and validation of machine-learning diagnostic models for identifying frailty in older adults with tuberculosis: a multicentre observational study protocol.

BMC pulmonary medicine·2026
Same author

Medical 3-D Printing Within a Health Care Facility.

Journal of the American College of Radiology : JACR·2026
Same author

Quantitative imaging of the central lymphatic system with spectral CT iodine mapping: a feasibility study in swine.

medRxiv : the preprint server for health sciences·2026
Same journal

Facial iPPG heatmap patterns based on period-aware autoencoder show association with carotid atherosclerosis towards non-contact hemodynamic assessment.

Computer methods and programs in biomedicine·2026
Same journal

Explainable machine learning models predict liver fibrosis risk and outcome in the general population: Development and multi-cohort external validation.

Computer methods and programs in biomedicine·2026
Same journal

Evaluation of surrogate endpoints for survival outcomes using the surrogate package in R.

Computer methods and programs in biomedicine·2026
Same journal

Relative spectral and frication-based descriptors as numerical indicators of place of articulation shifts in fricatives produced by Polish children.

Computer methods and programs in biomedicine·2026
Same journal

Leaflet resection improves valve expansion and hemodynamic performance in redo TAVI with balloon- and self-expanding transcatheter heart valve configurations.

Computer methods and programs in biomedicine·2026
Same journal

Spectral super-resolution for Parkinson's voice via representation-level methods under mixed-reality acquisition.

Computer methods and programs in biomedicine·2026
See all related articles

Related Experiment Video

Updated: Jun 20, 2026

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images
05:49

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images

Published on: February 23, 2024

GPU-based cone beam computed tomography.

Peter B Noël1, Alan M Walczak, Jinhui Xu

  • 1The State University of New York at Buffalo, USA. pbnoel@buffalo.edu

Computer Methods and Programs in Biomedicine
|September 29, 2009
PubMed
Summary
This summary is machine-generated.

Accelerate cone beam computed tomography (CBCT) 3D reconstruction using Graphics Processing Units (GPUs). This GPU-accelerated algorithm drastically reduces reconstruction times from minutes to seconds, enabling faster clinical workflows and higher resolution imaging.

More Related Videos

Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
10:23

Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

Published on: September 8, 2023

Dual-phase Cone-beam Computed Tomography to See, Reach, and Treat Hepatocellular Carcinoma during Drug-eluting Beads Transarterial Chemo-embolization
09:49

Dual-phase Cone-beam Computed Tomography to See, Reach, and Treat Hepatocellular Carcinoma during Drug-eluting Beads Transarterial Chemo-embolization

Published on: December 2, 2013

Related Experiment Videos

Last Updated: Jun 20, 2026

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images
05:49

Reliability of Artificial Intelligence-Based Cone Beam Computed Tomography Integration with Digital Dental Images

Published on: February 23, 2024

Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans
10:23

Three-Dimensional Cephalometric Landmark Annotation Demonstration on Human Cone Beam Computed Tomography Scans

Published on: September 8, 2023

Dual-phase Cone-beam Computed Tomography to See, Reach, and Treat Hepatocellular Carcinoma during Drug-eluting Beads Transarterial Chemo-embolization
09:49

Dual-phase Cone-beam Computed Tomography to See, Reach, and Treat Hepatocellular Carcinoma during Drug-eluting Beads Transarterial Chemo-embolization

Published on: December 2, 2013

Area of Science:

  • Medical Imaging
  • Computational Science

Background:

  • Cone beam computed tomography (CBCT) offers 3D imaging with high resolution and short scan times.
  • Traditional CBCT 3D reconstruction using filtered backprojection is time-consuming, often taking minutes to hours.
  • Advancements in Graphics Processing Units (GPUs) provide cost-effective high-performance computing solutions.

Purpose of the Study:

  • To develop and evaluate a Graphics Processing Unit (GPU)-based algorithm for accelerating 3D reconstruction of cone beam computed tomography (CBCT) data.
  • To compare the reconstruction speed and quality of the GPU implementation against standard Central Processing Unit (CPU)-based methods.

Main Methods:

  • Implemented a 3D reconstruction algorithm for CBCT data utilizing NVIDIA's Compute Unified Device Architecture (CUDA).
  • Executed the CUDA algorithm on an NVIDIA GeForce GTX 280 GPU.
  • Evaluated the GPU-based reconstruction performance on ten clinical and one phantom CBCT datasets.

Main Results:

  • Reduced 3D reconstruction time for a 256^3 volume from 25 minutes on a CPU to 3.2 seconds on a GPU.
  • Achieved a reconstruction time of 8.5 seconds for 512^3 volumes using the GPU.
  • Demonstrated that GPU-based reconstruction is significantly faster while maintaining diagnostic quality.

Conclusions:

  • GPU-accelerated reconstruction dramatically decreases CBCT data processing times.
  • This advancement allows for near real-time viewing of 3D volumetric data, improving clinical intervention efficiency.
  • The developed CUDA algorithm offers a practical and efficient solution for high-resolution CBCT reconstruction.