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Related Experiment Video

Updated: May 14, 2026

In vivo Positron Emission Tomography to Reveal Activity Patterns Induced by Deep Brain Stimulation in Rats

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WHOLE BODY NONRIGID CT-PET REGISTRATION USING WEIGHTED DEMONS.

J W Suh¹, Oh-K Kwon, D Scheinost

¹Department of Radiology, University of Pennsylvania.

Proceedings. IEEE International Symposium on Biomedical Imaging

|February 5, 2013

Summary

We developed a novel weighted demons algorithm for aligning whole-body rat computed tomography (CT) and positron emission tomography (PET) images. This method improves registration accuracy for nonrigid changes and heterogeneous image characteristics.

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Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Area of Science:

Medical Imaging
Biomedical Engineering
Image Registration

Background:

Accurate registration of multi-modal images (CT and PET) is crucial for preclinical research.
Inherent differences in imaging protocols and acquisition times lead to significant nonrigid anatomical changes and heterogeneous image characteristics.
Existing registration methods struggle with these complex deformations and variations.

Purpose of the Study:

To present a new deformable registration method for whole-body rat CT and PET images.
To address challenges posed by nonrigid changes and heterogeneous image characteristics between separate acquisitions.
To improve the accuracy and robustness of image registration in preclinical settings.

Main Methods:

A weighted demons algorithm was developed for deformable image registration.
Utilized both transmission-PET and emission-PET images during the registration process.
Emphasized specific regions of the transmission-PET image using emission-PET information.
Validated the method on nine rat image datasets using the M-Hausdorff distance.

Main Results:

The proposed weighted demons algorithm demonstrated improved registration performance.
Achieved higher accuracy compared to standard Demons and nonrigid FFD registration methods.
Quantitatively validated results using the M-Hausdorff distance similarity measure.

Conclusions:

The weighted demons algorithm offers a robust and accurate solution for registering rat CT and PET images.
This method effectively handles nonrigid transformations and heterogeneous image properties.
The approach shows significant potential for enhancing preclinical imaging analysis and research.