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Deformable anthropomorphic pelvis phantom for dose accumulation verification.

Yun Ming Wong¹, Calvin Wei Yang Koh^2,3, Kah Seng Lew^1,2

¹Division of Physics and Applied Physics, Nanyang Technological University, Singapore, Singapore.

Physics in Medicine and Biology

|May 31, 2024

Summary

This summary is machine-generated.

A novel 3D printed deformable pelvis phantom accurately assessed voxel mapping accuracy in image registration. Dice Similarity Coefficient showed good correlation for prostate and rectum but not bladder, highlighting the need for improved validation metrics.

Keywords:

3D printing adaptive radiotherapy deformable anthropomorphic phantom deformable image registration dice similarity coefficient dose accumulation target registration error

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Published on: January 11, 2020

Area of Science:

Medical physics and imaging
Radiotherapy and oncology
3D printing and biomedical engineering

Background:

Contour-based metrics are standard for validating deformable image registration (DIR) in contour propagation.
Voxel mapping accuracy is crucial for dose accumulation but may not be fully represented by contour metrics.
A need exists for robust methods to evaluate DIR accuracy in complex anatomical regions like the pelvis.

Purpose of the Study:

To fabricate a deformable anthropomorphic pelvis phantom using 3D printing for DIR validation.
To quantify voxel mapping accuracy across various deformation scenarios and tissue contrasts.
To assess the correlation between Dice Similarity Coefficient (DSC) and voxel mapping accuracy (Target Registration Error - TRE) for pelvic organs.

Main Methods:

Fabrication of a 3D printed deformable pelvis phantom with integrated markers for key organs (pelvic bone, prostate, bladder, rectum).
Simulation of four deformation scenarios by altering bladder and rectum volumes.
Performance of nine deformable image registrations using RayStation v10B and quantification of voxel mapping accuracy via TRE.

Main Results:

The 3D printed phantom successfully replicated realistic anatomical deformations.
Voxel mapping accuracy decreased with increased deformation but improved with more guiding organs or limited registration regions.
Dice Similarity Coefficient correlated well with voxel mapping accuracy for prostate and rectum (DSC > 0.85/0.90 indicating TRE ≤ 0.3 cm), but less so for the bladder.

Conclusions:

A 3D printed deformable pelvis phantom is a viable tool for quantifying voxel mapping accuracy in DIR.
Dice Similarity Coefficient is a reliable metric for prostate and rectum but insufficient for bladder accuracy validation.
Additional metrics beyond DSC are necessary for comprehensive validation of deformable image registration accuracy in clinical applications.