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...

You might also read

Related Articles

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

Sort by

Same journal

BPENet: Boundary perception enhancement network for retinal vessel and coronary angiogram segmentation.

Journal of X-ray science and technology·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

Search research articles

Related Experiment Video

Updated: May 27, 2025

Near Infrared Optical Projection Tomography for Assessments of β-cell Mass Distribution in Diabetes Research

Near Infrared Optical Projection Tomography for Assessments of β-cell Mass Distribution in Diabetes Research

Published on: January 12, 2013

Orthogonal limited-angle CT reconstruction method based on anisotropic self-guided image filtering.

Gong Changcheng^1,2, Song Qiang¹

¹School of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing, China.

Journal of X-Ray Science and Technology

|February 20, 2025

Summary

Orthogonal limited-angle sampling in computed tomography (CT) reduces radiation dose and scanning time. A new anisotropic self-guided image filtering (ASGIF) method effectively suppresses artifacts and preserves edges in CT reconstruction.

Keywords:

computed tomography guided image filtering image reconstruction inverse problem orthogonal limited-angle

More Related Videos

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

Related Experiment Videos

Last Updated: May 27, 2025

Near Infrared Optical Projection Tomography for Assessments of β-cell Mass Distribution in Diabetes Research

Near Infrared Optical Projection Tomography for Assessments of β-cell Mass Distribution in Diabetes Research

Published on: January 12, 2013

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

Area of Science:

Medical Imaging
Computational Imaging
Image Reconstruction

Background:

Computed tomography (CT) reconstruction from incomplete projection data is crucial for minimizing radiation exposure and scan duration.
Existing methods like few-view and limited-angle sampling have limitations, including rapid tube voltage switching and high data correlation.

Purpose of the Study:

To introduce and evaluate a novel orthogonal limited-angle sampling strategy for CT.
To propose and validate a new reconstruction model, anisotropic self-guided image filtering (ASGIF), for improved CT image quality.

Main Methods:

Investigated a unique sampling strategy involving two orthogonal limited-angle scans.
Developed an ASGIF reconstruction model utilizing adaptive weights based on image gradient information.
Employed anisotropic image filtering to address shading artifacts specific to the orthogonal scanning geometry.

Main Results:

The proposed orthogonal limited-angle sampling strategy demonstrates potential as a practical imaging approach.
The ASGIF method effectively suppresses shading artifacts inherent to the sampling strategy.
Experimental results show superior performance of ASGIF in preserving image edges compared to existing methods.

Conclusions:

Orthogonal limited-angle sampling offers a promising strategy for dose and time reduction in CT.
ASGIF provides an effective solution for artifact suppression and edge preservation in CT reconstruction using this sampling method.