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

You might also read

Related Articles

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

Sort by
Same author

Use of Pediatric Imaging is Increasing Again. Now What?

Hospital pediatrics·2026
Same author

Reply to "Alert Burden and Multivendor Interactions: Missing Dimensions in Radiology Artificial Intelligence Predeployment Evaluation".

AJR. American journal of roentgenology·2026
Same author

Sentence-Level Cross-Referencing Improves Comprehension and Confidence in AI-Generated Patient-Friendly Radiology Reports: Design for Understanding.

Journal of the American College of Radiology : JACR·2026
Same author

Predicting the Value of Radiology Artificial Intelligence Applications: Large-Scale Predeployment Evaluation of a Portfolio of Models.

AJR. American journal of roentgenology·2026
Same author

The ACR Medical Image Quality Assessment System (MIQAS): A Unified Approach to Image Quality Assessment in Radiology.

Journal of the American College of Radiology : JACR·2025
Same author

Improving Prostate MRI: Lessons Learned from the American College of Radiology's Prostate MR Image Quality Improvement Collaborative.

Radiographics : a review publication of the Radiological Society of North America, Inc·2025
Same journal

The Banality of Cancer: Entropy As a Third Pillar of Lung Nodule Risk Assessment.

AJR. American journal of roentgenology·2026
Same journal

A Narrow Window for Artificial Intelligence-Generated Synthetic Temporal Bone CT From MRI.

AJR. American journal of roentgenology·2026
Same journal

From Uncertainty to Actionable Management: The Isolated Abnormal Axillary Lymph Node.

AJR. American journal of roentgenology·2026
Same journal

Beyond Detection: Translating Artificial Intelligence-Driven Opportunistic Screening Into Clinical Action.

AJR. American journal of roentgenology·2026
Same journal

Navigating PSMA PET Radiopharmaceuticals: Clinical and Operational Factors.

AJR. American journal of roentgenology·2026
Same journal

From Mesenteric Ischemia to Intestinal Stroke.

AJR. American journal of roentgenology·2026
See all related articles

Related Experiment Video

Updated: Apr 16, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

21.3K

Toward Large-Scale Process Control to Enable Consistent CT Radiation Dose Optimization.

David B Larson1, Keith J Strauss, Daniel J Podberesky

  • 11 Department of Radiology, Stanford University School of Medicine, 300 Pasteur Dr, Stanford, CA 94305-5105.

AJR. American Journal of Roentgenology
|March 3, 2015
PubMed
Summary
This summary is machine-generated.

Achieve optimal computed tomography (CT) radiation dose by using minimal radiation for adequate image quality. Consistent CT dose optimization relies on minimizing process variations through local control mechanisms.

Keywords:
CT radiation doseoptimizationpatient safetyprocess controlquality improvement

More Related Videos

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
08:25

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Published on: April 11, 2018

16.2K
Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
07:57

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

3.4K

Related Experiment Videos

Last Updated: Apr 16, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

21.3K
Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
08:25

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Published on: April 11, 2018

16.2K
Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
07:57

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

3.4K

Area of Science:

  • Medical Imaging
  • Radiology
  • Health Physics

Background:

  • Computed tomography (CT) utilizes ionizing radiation, necessitating careful dose management.
  • Ensuring diagnostic image quality while minimizing patient radiation exposure is a critical challenge in CT imaging.

Purpose of the Study:

  • To review CT radiation dose optimization principles.
  • To discuss methods for achieving and verifying dose optimization.
  • To propose strategies for widespread implementation of dose optimization techniques.

Main Methods:

  • Review of current literature on CT dose optimization.
  • Analysis of process control strategies for radiation dose reduction.
  • Discussion of verification methods for consistent dose optimization.

Main Results:

  • CT dose optimization is defined as using the minimum radiation required for adequate image quality.
  • Minimizing unnecessary variations in the imaging process is key to consistent optimization.
  • Local process control mechanisms are effective in achieving this minimization.

Conclusions:

  • CT dose optimization is achievable through a combination of appropriate radiation levels and process control.
  • Consistent dose optimization depends on reducing variability in CT examinations.
  • Implementing local process control is essential for sustained CT dose reduction and patient safety.