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...

Imaging Studies for Cardiovascular System V: CT

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

Urethral stricture management knowledge survey among Spanish urology residents.

Actas urologicas espanolas·2024

Same author

In reply to «Big Data Analysis and Machine Learning in Intensive Care Medicine: Identifying new ethical and legal challenges».

Medicina intensiva·2020

Same author

Big Data Analysis and Machine Learning in Intensive Care Units.

Medicina intensiva·2018

Same author

"The multimodal approach for ventilator-associated pneumonia prevention"-requirements for nationwide implementation.

Annals of translational medicine·2018

Same author

Guidelines for the prevention of ventilator-associated pneumonia and their implementation. The Spanish "Zero-VAP" bundle.

Medicina intensiva·2014

Same author

Evaluation of chamber response function influence on IMRT verification using 2D commercial detector arrays.

Physics in medicine and biology·2012

Search research articles

Related Experiment Video

Updated: Jun 20, 2026

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

Automated effective dose estimation in CT.

M Sánchez García¹, M Pombar Cameán, R Lobato Busto

¹Servizo de Radiofísica e Protección Radiolóxica, Complexo Hospitalario Universitario de Santiago de Compostela (CHUS), Santiago de Compostela, Spain. manusan@gmail.com

Radiation Protection Dosimetry

|September 29, 2009

Summary

This summary is machine-generated.

Automated software estimates patient radiation dose in CT scans, improving monitoring against European regulations. This method analyzes DICOM headers for more comprehensive dose assessments compared to manual methods.

More Related Videos

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation

Published on: September 4, 2017

A Whole Body Dosimetry Protocol for Peptide-Receptor Radionuclide Therapy (PRRT): 2D Planar Image and Hybrid 2D+3D SPECT/CT Image Methods

A Whole Body Dosimetry Protocol for Peptide-Receptor Radionuclide Therapy (PRRT): 2D Planar Image and Hybrid 2D+3D SPECT/CT Image Methods

Published on: April 24, 2020

Related Experiment Videos

Last Updated: Jun 20, 2026

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation

Published on: September 4, 2017

A Whole Body Dosimetry Protocol for Peptide-Receptor Radionuclide Therapy (PRRT): 2D Planar Image and Hybrid 2D+3D SPECT/CT Image Methods

A Whole Body Dosimetry Protocol for Peptide-Receptor Radionuclide Therapy (PRRT): 2D Planar Image and Hybrid 2D+3D SPECT/CT Image Methods

Published on: April 24, 2020

Area of Science:

Medical Imaging
Radiology
Health Physics

Background:

European regulations mandate monitoring of patient radiation doses from CT examinations against established reference levels.
Traditional manual dose estimation is time-consuming, limiting its application to a small patient subset and necessitating extrapolation.
This limitation hinders comprehensive analysis and comparison with diagnostic reference levels (DRLs).

Purpose of the Study:

To present an automated method for estimating patient radiation dose in CT studies.
To enable more extensive dose monitoring and comparison with DRLs.
To analyze dose distributions and compare effective dose estimations.

Main Methods:

Developed software to automatically download CT studies from picture archiving and communication systems (PACS).
Utilized DICOM header information for automated dose calculation.
Performed a preliminary analysis on 5800 CT studies from a university hospital.

Main Results:

The automated method allows for dose estimations on a larger fraction of CT studies.
Dose distributions for selected CT protocols were analyzed.
Average doses were compared with DRLs, and effective dose estimations were compared with dose length product-based estimations.

Conclusions:

Automated dose estimation in CT is feasible and enhances the ability to comply with regulatory requirements.
This approach facilitates more significant comparisons with diagnostic reference levels.
The method provides valuable insights into dose distributions and effective dose calculations in clinical practice.