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 Experiment Videos

Control portal images enhancement.

G Hilt1, D Wolf, P Aletti

  • 1Département de radiothérapie, Centre Alexis Vautrin, Avenue de Bourgogne 54511 Vandoeuvre Lès Nancy, France.

Biomedical Sciences Instrumentation
|January 6, 2001
PubMed
Summary
This summary is machine-generated.

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

Long enduring response on teclistamab in a patient with myeloma relapse after allogeneic hematopoietic stem cell transplantation - a case report.

Annals of hematology·2026
Same author

Clinical outcomes of trifluridine/tipiracil plus bevacizumab versus trifluridine/tipiracil or regorafenib in metastatic colorectal cancer: a multicenter cohort study.

ESMO open·2026
Same author

Communication Training for Dental Students.

JDR clinical and translational research·2025
Same author

Optical and acoustic plasmons in the layered material Sr<sub>2</sub>RuO<sub>4</sub>.

Nature communications·2025
Same author

Guiding clinical management of patients with CNS lymphomas by minimal-invasive detection of ctDNA in cerebrospinal fluid.

Leukemia·2025
Same author

Pathologic complete response (pCR) rates for patients with HR+/HER2- high-risk, early-stage breast cancer (EBC) by clinical and molecular features in the phase II I-SPY2 clinical trial.

Annals of oncology : official journal of the European Society for Medical Oncology·2024

Improving control portal image quality is crucial for patient setup verification in radiation therapy. This study enhances image clarity through noise reduction and restoration, enabling accurate segmentation and verification.

Area of Science:

  • Medical Physics
  • Radiotherapy Imaging

Background:

  • Control portal images in radiotherapy often suffer from poor quality, hindering accurate patient setup verification.
  • Image segmentation is essential for automated patient setup verification, but is challenging with low-quality images.

Purpose of the Study:

  • To investigate methods for improving the quality of control portal images.
  • To enable reliable segmentation of these images for patient setup verification.

Main Methods:

  • Assessed image distortion using a grid pattern phantom.
  • Implemented background intensity gradient correction via image smoothing and subtraction.
  • Evaluated 14 noise reduction techniques, identifying the truncated average as optimal.
  • Compared four image restoration methods, finding the Maximum a Posteriori (MAP) algorithm most effective.

Related Experiment Videos

Main Results:

  • Significant improvements in anatomical detail were observed across various imaging systems, energies, and anatomical regions.
  • The signal-to-noise ratio (SNR) of a sample pelvis image increased from 0.97 to 20.06 after enhancement.
  • The chosen enhancement methods (truncated average for noise reduction, MAP for restoration) proved highly effective.

Conclusions:

  • The developed image enhancement techniques substantially improve control portal image quality.
  • Enhanced image quality facilitates and enables the critical segmentation stage for patient setup verification.
  • This work represents a significant first step towards reliable, automated patient setup verification in radiotherapy.