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...

Positron Emission Tomography

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...

You might also read

Related Articles

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

Sort by

Same author

Metal artifacts correction based on a physics-informed nonlinear sinogram completion model.

Physics in medicine and biology·2025

Same author

Self-supervised dual-domain balanced dropblock-network for low-dose CT denoising.

Physics in medicine and biology·2024

Same author

Growing three-dimensional biomorphic graphene powders using naturally abundant diatomite templates towards high solution processability.

Nature communications·2016

Same author

Prednison provokes serum and vasoactive substances in a mice model of immune thrombocytopenia.

Iranian journal of basic medical sciences·2016

Same author

H<sub>2</sub>O<sub>2</sub> and Ca<sup>2+</sup>-based signaling and associated ion accumulation, antioxidant systems and secondary metabolism orchestrate the response to NaCl stress in perennial ryegrass.

Scientific reports·2016

Same author

Advances in the development of aptamer drug conjugates for targeted drug delivery.

Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology·2016

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

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

Selecting projection views based on error equidistribution for computed tomography.

Yinghui Zhang^1,2, Xing Zhao¹, Ke Chen^2,3

¹School of Mathematical Sciences, Capital Normal University, Beijing, China.

Journal of X-Ray Science and Technology

|February 20, 2025

Summary

This summary is machine-generated.

A new projection view selection method optimizes computed tomography (CT) imaging by minimizing errors. This approach enhances image quality and computational efficiency for practical CT applications and dose utilization.

Keywords:

computed tomography error equidistribution nonuniform projection view selection projection error curve

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

Author Spotlight: Enhanced Quantification of Cardiovascular Calcification Progression for Longitudinal Micro PET/CT Studies in Small Research Animals

Author Spotlight: Enhanced Quantification of Cardiovascular Calcification Progression for Longitudinal Micro PET/CT Studies in Small Research Animals

Published on: November 15, 2024

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

Author Spotlight: Enhanced Quantification of Cardiovascular Calcification Progression for Longitudinal Micro PET/CT Studies in Small Research Animals

Author Spotlight: Enhanced Quantification of Cardiovascular Calcification Progression for Longitudinal Micro PET/CT Studies in Small Research Animals

Published on: November 15, 2024

Area of Science:

Medical Imaging
Computational Imaging
Image Reconstruction

Background:

Nonuniform sampling optimizes projection acquisition in computed tomography (CT) under budget constraints.
Current projection view selection methods often require blueprint images or significant computational resources, limiting their practicality.

Purpose of the Study:

To develop a straightforward nonuniform sampling method for selecting informative projection views in CT.
To enhance the efficiency and quality of CT image reconstruction through optimized view selection.

Main Methods:

The algorithm estimates projection errors and adds views based on error equidistribution to minimize reconstruction errors.
It utilizes insights that projection errors contain angle-specific information and error peaks indicate areas for view addition.
The process is recursive, allowing for iterative refinement of the projection view set.

Main Results:

The proposed method demonstrates superior performance in identifying optimal views and generating high-quality reconstructions compared to existing algorithms.
It achieves excellent results in both Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM) metrics.
The algorithm is computationally efficient, making it practical for real-world CT optimization.

Conclusions:

A novel projection view selection algorithm based on error equidistribution offers improved reconstruction quality and efficiency.
The method is suitable for practical CT applications, aiming to optimize dose utilization.
This approach addresses limitations of existing view selection techniques.