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

You might also read

Related Articles

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

Sort by

Same author

Regional Lymph Node Delineation variability and its Dosimetric Impact in Breast Cancer Radiotherapy.

Clinical oncology (Royal College of Radiologists (Great Britain))·2025

Same author

Fox on the Run-Cheaper Camera Traps Fail to Detect Fast-Moving Mesopredators: Assessing the Differences in Mesopredator Detection Efficacy Among Different Camera Trap Models.

Ecology and evolution·2025

Same author

Measurement of Electron Antineutrino Oscillation Amplitude and Frequency via Neutron Capture on Hydrogen at Daya Bay.

Physical review letters·2024

Same author

MEN2 phenotype in a family with germline heterozygous rare RET K666N variant.

Endocrinology, diabetes & metabolism case reports·2024

Same author

Search for a Sub-eV Sterile Neutrino Using Daya Bay's Full Dataset.

Physical review letters·2024

Same author

High Resolution Study of ^{40}Ca to Constrain Potassium Nucleosynthesis in NGC 2419.

Physical review letters·2024

Same journal

Definitive IMRT alone with reduced prophylactic nodal irradiation for Early-Stage Oropharyngeal Cancer: JCOG1208.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2026

Same journal

Associations between body composition and radiotherapy-related side-effects and health-related quality of life in patients with prostate or lung cancer: sub-analysis of the REQUITE trial.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2026

Same journal

ESTRO recommendations for the use, planning and delivery of reirradiation in locally recurrent rectal cancer - Endorsed by ASTRO.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2026

Same journal

Early ADC changes in risk-model-defined brain regions precede contrast-enhancing lesions after proton therapy for low-grade glioma.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2026

Same journal

Any impact of pre-operative radiotherapy on renal function in retroperitoneal soft tissue sarcomas? A secondary ancillary analysis of the EORTC 62092 STRASS 1 trial.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2026

Same journal

Tumor volume reduction during adaptive radiotherapy is a strong prognostic factor for oropharyngeal cancer: A retrospective multicenter study?

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 8, 2026

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images

Published on: February 18, 2015

Head and neck target delineation using a novel PET automatic segmentation algorithm.

B Berthon¹, M Evans², C Marshall¹

¹Wales Research & Diagnostic PET Imaging Centre, Cardiff, UK.

Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology

|January 28, 2017

Summary

This summary is machine-generated.

A new PET auto-segmentation tool, ATLAAS, reliably aids Head and Neck radiotherapy planning by providing operator-independent contours, improving Gross Tumour Volume delineation.

Keywords:

Automatic PET segmentation Image Segmentation Intensity Modulated Radiation Therapy Positron Emission Tomography

More Related Videos

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Patient-Specific Polyvinyl Alcohol Phantom Fabrication with Ultrasound and X-Ray Contrast for Brain Tumor Surgery Planning

Patient-Specific Polyvinyl Alcohol Phantom Fabrication with Ultrasound and X-Ray Contrast for Brain Tumor Surgery Planning

Published on: July 14, 2020

Related Experiment Videos

Last Updated: Mar 8, 2026

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images

Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images

Published on: February 18, 2015

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Patient-Specific Polyvinyl Alcohol Phantom Fabrication with Ultrasound and X-Ray Contrast for Brain Tumor Surgery Planning

Patient-Specific Polyvinyl Alcohol Phantom Fabrication with Ultrasound and X-Ray Contrast for Brain Tumor Surgery Planning

Published on: July 14, 2020

Area of Science:

Radiotherapy
Medical Imaging
Artificial Intelligence

Background:

Head and Neck (H&N) radiotherapy treatment (RT) planning relies on accurate delineation of Gross Tumour Volumes (GTVs).
Manual segmentation of GTVs from CT/MRI can be subjective and time-consuming.
Advanced imaging techniques like ¹⁸F-FDG-PET/CT offer functional information crucial for precise tumor outlining.

Purpose of the Study:

To assess the feasibility and impact of a novel automated PET auto-segmentation method (ATLAAS) in H&N RT planning.
To evaluate the reliability and clinical utility of ATLAAS-generated contours compared to manual delineations.

Main Methods:

The Automatic decision Tree-based Learning Algorithm for Advanced Segmentation (ATLAAS) was applied to ¹⁸F-FDG-PET/CT scans of 20 H&N patients.
ATLAAS contours (GTVp_ATLAAS) were compared with manually delineated CT/MRI contours (GTVp_CT/MRI) and final RT planning GTVs (GTVp_final).
Qualitative and quantitative analyses, including a conformity metric, were used for comparison.

Main Results:

ATLAAS contours demonstrated reliability and usefulness, with an average conformity index of 0.70 against final GTVs.
GTVp_ATLAAS was smaller than GTVp_CT/MRI in 70% of cases.
ATLAAS insights led to adjustments in GTVp_CT/MRI in 17 out of 20 patients, contributing up to 33% to the final GTV volume.

Conclusions:

ATLAAS provides operator-independent PET segmentation, augmenting clinical outlining based on CT and MRI.
This automated method shows potential utility for improving H&N radiotherapy planning in future clinical studies.