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 author

Expression and Significance of Protein Arginine Methyltransferase 1 in the Serum of Patients with Diabetes Kidney Disease.

Diabetes, metabolic syndrome and obesity : targets and therapy·2026

Same author

Semantic Channel Capacity of Rayleigh Fading Channels Based on Synonymous Mapping.

Entropy (Basel, Switzerland)·2026

Same author

Semantic Algorithmic Information Theory: From Kolmogorov Complexity to Semantic Equivalence.

Entropy (Basel, Switzerland)·2026

Same author

An experimental method for direct measurement of CT detector presampling MTF from reconstructed images.

Medical physics·2026

Same author

Pseudo Sentences Evaluation and Quality-Aware Robust Learning for Unsupervised Text-Based Person Search.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same author

BA-UNet: A Boundary Augmented Segmentation Network for Cervical Cancer Radiotherapy.

Journal of imaging informatics in medicine·2026

Search research articles

Related Experiment Video

Updated: Oct 25, 2025

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals

Published on: December 16, 2022

C-arm cone beam CT perfusion imaging using the SMART-RECON algorithm to improve temporal sampling density and

Yinsheng Li¹, Kai Niu¹, Ke Li^1,2

¹Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, WI 53705.

Proceedings of Spie--The International Society for Optical Engineering

|August 5, 2021

Summary

A new algorithm, Synchronized MultiArtifact Reduction with Tomographic RECONstruction (SMART-RECON), improves C-arm cone beam CT perfusion imaging. It accurately recovers dynamic contrast updates and reduces noise, enhancing lesion differentiation in brain imaging.

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

Continuous Blood Sampling in Small Animal Positron Emission Tomography/Computed Tomography Enables the Measurement of the Arterial Input Function

Continuous Blood Sampling in Small Animal Positron Emission Tomography/Computed Tomography Enables the Measurement of the Arterial Input Function

Published on: August 8, 2019

Related Experiment Videos

Last Updated: Oct 25, 2025

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals

High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals

Published on: December 16, 2022

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

Continuous Blood Sampling in Small Animal Positron Emission Tomography/Computed Tomography Enables the Measurement of the Arterial Input Function

Continuous Blood Sampling in Small Animal Positron Emission Tomography/Computed Tomography Enables the Measurement of the Arterial Input Function

Published on: August 8, 2019

Area of Science:

Medical Imaging
Radiology
Computational Imaging

Background:

C-arm cone beam CT perfusion (CBCTP) imaging is crucial for diagnosing cerebrovascular diseases.
Limited-view artifacts and noise in CBCTP can hinder accurate diagnosis.
Existing reconstruction methods struggle with high temporal resolution and artifact reduction.

Purpose of the Study:

To introduce and evaluate the Synchronized MultiArtifact Reduction with Tomographic RECONstruction (SMART-RECON) algorithm for CBCTP imaging.
To assess the algorithm's ability to reduce artifacts and improve image quality.
To validate the accuracy of dynamic contrast update curves and perfusion parameters.

Main Methods:

Development of the SMART-RECON algorithm incorporating a rank regularizer for artifact reduction.
Application of SMART-RECON to C-arm CBCTP imaging with super-short scan protocols.
Evaluation using numerical simulations to assess dynamic curve fidelity and perfusion parameter accuracy.
Comparison with traditional filtered backprojection (FBP) methods.

Main Results:

SMART-RECON achieved high temporal sampling and resolution in CBCTP reconstructions.
Accurate recovery of dynamic contrast update curves with low root mean square error (3%-5%) compared to FBP (13%-22%).
Significant reduction in noise in the final perfusion maps.
Improved differentiation of lesions with perfusion deficits from healthy brain tissue.

Conclusions:

SMART-RECON offers superior performance for CBCTP imaging compared to FBP.
The algorithm effectively reduces artifacts and noise, leading to more accurate perfusion assessments.
SMART-RECON holds significant potential for improving the diagnosis of brain pathologies using C-arm CBCTP.