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 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 proof-of-concept automated method for accurate skin dosimetry: correcting overestimated surface dose measurements.

Physics in medicine and biology·2026
Same author

TopBP1 orchestrates PU.1-IRF8 transcriptional programming of dendritic cell differentiation and Flt3L-driven tumor immunity.

Experimental & molecular medicine·2026
Same author

Development and validation of an automated, accurate in-house treatment planning system for pencil-beam scanning carbon ion radiotherapy.

Medical physics·2026
Same author

Inhibiting Fatty Acid Oxidation Reverses Autophagy-Mediated Acquired Chemotherapy Resistance in Pancreatic Ductal Adenocarcinoma.

Cancer research·2026
Same author

Morphological variation in rectal hydrogel spacer one month after insertion during low-dose-rate brachytherapy for prostate adenocarcinoma.

Radiation oncology journal·2026
Same author

Real-time energy measurement of clinical carbon ion beams using a cross-correlation time-of-flight method with parallel-plate chambers.

Medical physics·2026
Same journal

Semi-supervised YOLO-DEP for high-resolution X-ray component localization and counting.

Journal of X-ray science and technology·2026
Same journal

Attention based multi-scale edge-aware segmentation and convolutional transformer framework for automated glaucoma detection from fundus images.

Journal of X-ray science and technology·2026
Same journal

Improving the robustness of radiomic features to patient size variations in CBCT imaging for radiotherapy.

Journal of X-ray science and technology·2026
Same journal

DH-OOD: A decoupled hybrid framework for robust skin lesion classification via semantic-structural fusion.

Journal of X-ray science and technology·2026
Same journal

Development and evaluation of deep learning models for automatic coronary stenosis segmentation in X-ray angiography.

Journal of X-ray science and technology·2026
Same journal

Projection-domain reconstruction of patient-specific panoramic images from CBCT projection data.

Journal of X-ray science and technology·2026
See all related articles

Related Experiment Video

Updated: Jun 10, 2026

Pulmonary Structural MRI using Free-Breathing, Self-Gated Ultra-short Echo Time Imaging
05:07

Pulmonary Structural MRI using Free-Breathing, Self-Gated Ultra-short Echo Time Imaging

Published on: September 6, 2024

Fast hybrid CPU- and GPU-based CT reconstruction algorithm using air skipping technique.

Byeonghun Lee1, Ho Lee, Yeong Gil Shin

  • 1School of Computer Science and Engineering, Seoul National University, Seoul, Republic of Korea.

Journal of X-Ray Science and Technology
|August 18, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a hybrid CPU/GPU algorithm for faster computed tomography (CT) reconstruction. By using air skipping and polygon clipping, it significantly reduces computational time without compromising diagnostic information.

More Related Videos

Hybrid µCT-FMT imaging and image analysis
13:45

Hybrid µCT-FMT imaging and image analysis

Published on: June 4, 2015

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

Related Experiment Videos

Last Updated: Jun 10, 2026

Pulmonary Structural MRI using Free-Breathing, Self-Gated Ultra-short Echo Time Imaging
05:07

Pulmonary Structural MRI using Free-Breathing, Self-Gated Ultra-short Echo Time Imaging

Published on: September 6, 2024

Hybrid µCT-FMT imaging and image analysis
13:45

Hybrid µCT-FMT imaging and image analysis

Published on: June 4, 2015

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

Area of Science:

  • Medical Imaging
  • Computer Science
  • Computational Imaging

Background:

  • Computed tomography (CT) reconstruction is computationally intensive.
  • Existing GPU-based methods can be further optimized for speed.
  • Efficiently handling air regions in projection data is crucial for reconstruction speed.

Purpose of the Study:

  • To develop a fast hybrid CPU- and GPU-based CT reconstruction algorithm.
  • To reduce computational time by optimizing the back-projection operation.
  • To maintain diagnostic image quality while increasing reconstruction speed.

Main Methods:

  • A hybrid approach combining CPU and GPU processing.
  • Utilizing K-means clustering on CPU to identify air regions in projection images.
  • Employing polygon clipping based on segmented air areas to define active regions for GPU back-projection.
  • Applying the algorithm to clinical and phantom datasets for validation.

Main Results:

  • The algorithm successfully identifies air regions and generates boundary tables.
  • Polygon clipping effectively reduces the number of voxels requiring back-projection.
  • Computational time for CT reconstruction was reduced by half compared to conventional GPU methods.
  • No loss of diagnostic information was observed in the reconstructed images.

Conclusions:

  • The proposed hybrid CT reconstruction algorithm offers a significant speed improvement.
  • Air skipping with polygon clipping is an effective strategy for optimizing GPU-based back-projection.
  • This method provides a faster alternative for CT reconstruction without compromising image quality.