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Related Experiment Video

Updated: May 15, 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

A method to vectorize the dose distribution, the dose volume histogram and create a dose vector histogram.

Charles S Mayo¹, Corey Zankowski, Michael Herman

¹Department of Radiation Oncology, Mayo Clinic, Rochester, MN 55905, USA. mayo.charles@mayo.edu

Medical Physics

|January 10, 2013

Summary

This summary is machine-generated.

This study introduces a new method to combine spatial data with dose-volume histograms (DVHs) for radiation therapy. This approach enhances treatment plan evaluation by revealing the precise location of dose distributions relative to critical structures.

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Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition

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Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition

Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition

Published on: March 11, 2021

Area of Science:

Medical Physics
Radiation Oncology
Radiotherapy Planning

Background:

Dose-volume histograms (DVHs) are standard for evaluating radiotherapy dose distributions.
Integrating spatial information into DVHs can provide a more comprehensive understanding of dose delivery.
Current methods may lack the granularity to precisely link dose regions to specific anatomical structures.

Purpose of the Study:

To present a programmatic method for incorporating spatial information into DVHs.
To develop a vectorized dose distribution (VDD) and vectorized DVH (VDVH) for detailed spatial analysis.
To introduce a dose-vector-histogram (DVctH) for pinpointing dose features like "hot spots."

Main Methods:

Development of mathematical models for VDD and VDVH construction.
Implementation of a programmatic approach for practical application.
Utilizing phantom and SBRT lung image datasets for validation.

Main Results:

The VDVH and DVctH successfully decomposed DVH curves, revealing pixel locations contributing to dose.
These metrics offered specificity in defining the location and magnitude of dose features for treatment plan evaluation.
The vector-based constraints for each pixel offer a novel approach compared to distance-based shell methods.

Conclusions:

The developed method effectively combines spatial information with DVH metrics.
It provides a practical way to specify the location of dose features relative to treatment plan structures.
This enhances the evaluation of radiotherapy treatment plans through spatial dose analysis.