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Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

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SU-D-213CD-01: 4D Ultrasound Calibration for Radiotherapy Guidance Using Automatic Intramodality Image Registration.

J Schlosser^1,2, C Kirmizibayrak^1,2, V Shamdasani^1,2

¹Stanford University.

Medical Physics

|May 19, 2017

Summary

This summary is machine-generated.

This study introduces a new method for calibrating 4D ultrasound (US) volumes using automatic image registration, achieving accuracy under 2.3 mm for radiotherapy image guidance. The technique is fast, simple, and effective for US spatial calibration.

Keywords:

Calibration Cameras Image registration Linear accelerators Medical image segmentation Medical imaging Radiation therapy Robotics Tracking devices Ultrasonography

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Area of Science:

Medical Physics
Radiotherapy Technology
Medical Imaging

Background:

Real-time soft-tissue ultrasound (US) volumes are crucial for radiotherapy image guidance.
Accurate transformation of US volumes to the linear accelerator reference frame is essential for precise treatment delivery.

Purpose of the Study:

To propose and characterize a novel method for calibrating 4D US volumes.
To leverage automatic intramodality image registration for enhanced US calibration.

Main Methods:

Collected 60 volumetric US images of a pelvic phantom with pose monitoring via an optical tracking system.
Employed normalized mutual information for automatic registration of US volumes.
Solved for US probe-to-image transformation using registration data and optical tracking.

Main Results:

Achieved a mean error of 2.3 mm for fiducial marker reconstruction.
Demonstrated a mean distance error of 1.1 mm between segmented bladder structures.
The calibration method typically converged using fewer than 20 images.

Conclusions:

Automatic image registration provides a fast and simple solution for US spatial calibration.
The proposed method achieves accuracy under 2.3 mm, suitable for any US phantom.
This advancement supports improved image guidance in radiotherapy.