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

Computed Tomography01:10

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 Tomography01:29

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 being...

You might also read

Related Articles

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

Sort by
Same author

Automated Alerts to Improve Timely Evaluation and Treatment of Valvular Heart Disease: The ALERT Trial.

Journal of the American College of Cardiology·2026
Same author

Surgical Efficacy of Robotic Adrenalectomy: Korean Nationwide Comparative Data Analysis Focusing on Robotic Modality, Surgical Approach, and Tumor Characteristics.

Journal of laparoendoscopic & advanced surgical techniques. Part A·2026
Same author

Performance enhancement method by using the probabilistic estimation for kidney tumor segmentation.

Frontiers in oncology·2026
Same author

Preoperative selective arterial embolization followed by transurethral resection of bladder tumor for large bladder tumors: Early clinical experiences.

Investigative and clinical urology·2026
Same author

Therapeutic Insights and Immune Pathway Connections Revealed by Core Symptom Gene Network Analysis in Ankylosing Spondylitis.

Current issues in molecular biology·2026
Same author

Corrosion-Inspired Stabilization of Cobalt Oxide Catalysts via Platinum-Mediated Redox Buffering for Proton Exchange Membrane Water Electrolysis.

Advanced materials (Deerfield Beach, Fla.)·2026

Related Experiment Video

Updated: Jul 1, 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

Computerized tomography-based quality assurance tool for proton range compensators.

Myonggeun Yoon1, Jin-Sung Kim, Dongho Shin

  • 1Proton Therapy Center, National Cancer Center, Ilsandong-gu, Goyang, 411-769, Korea.

Medical Physics
|September 10, 2008
PubMed
Summary

This study introduces an automated quality assurance method using computed tomography (CT) scans for proton range compensators. The CT-based approach offers more systematic data for verifying proton therapy devices compared to manual measurements.

More Related Videos

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement
06:33

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement

Published on: July 29, 2013

Related Experiment Videos

Last Updated: Jul 1, 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

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement
06:33

Construction of a Preclinical Multimodality Phantom Using Tissue-mimicking Materials for Quality Assurance in Tumor Size Measurement

Published on: July 29, 2013

Area of Science:

  • Medical Physics
  • Radiotherapy Technology
  • Image Analysis

Background:

  • Proton therapy utilizes range compensators to precisely deliver radiation doses.
  • Current quality assurance methods for these compensators rely on manual measurements, which can be time-consuming and less systematic.
  • Accurate verification of compensator geometry is crucial for ensuring treatment efficacy and patient safety.

Purpose of the Study:

  • To develop and evaluate an automated quality assurance (QA) method for physically manufactured proton range compensators using computed tomography (CT) data.
  • To compare the accuracy and systematic nature of CT-based QA with existing manual measurement techniques.

Main Methods:

  • Eight proton range compensators were scanned using CT.
  • Depth distributions from CT data were compared against data from a proton treatment planning system (TPS).
  • Depth difference (DD), distance to agreement (DTA), and composite analysis (CA) were used for verification, with tolerance limits set at 3 mm for DD and 1 mm for DTA.

Main Results:

  • Average percentages of points exceeding acceptance criteria were 9.0% for DD, 5.3% for DTA, and 3.2% for CA.
  • Higher discrepancies were observed in regions with steep depth gradients, attributed to systematic errors like drill size and CT resolution.
  • Increasing the DTA tolerance from 1 mm to 2 mm reduced the average percentage of exceeding points from 5.3% to 0.9%.

Conclusions:

  • CT-based depth comparison of proton range compensators provides more systematic data than manual methods.
  • The automated CT QA method can effectively identify geometric deviations in compensators.
  • Further optimization of tolerance limits may be necessary depending on clinical requirements and identified error sources.