Fluorescence molecular tomography with optimal radon transform based surface reconstruction.

Area of Science:

• Biomedical Imaging
• Optical Imaging
• Molecular Imaging

Background:

• Non-contact fluorescence molecular tomography (FMT) requires accurate animal surface extraction for precise 3D reconstructions.
• In vivo experiments face challenges like respiratory motion and mechanical errors that degrade surface reconstruction accuracy.

Purpose of the Study:

• To develop an optimal radon transform-based surface reconstruction method for in vivo FMT.
• To address and mitigate the impact of animal movement and experimental errors on 3D surface accuracy.

Main Methods:

• A novel line searching approach was employed to minimize the discrepancy between the reconstructed 3D surface and projected silhouettes.
• The method optimizes surface reconstruction by minimizing mismatch across multiple projection angles.
• Comparison with existing radon transform-based methods was performed.

Main Results:

• The proposed method achieved a mean surface mismatch of less than two CCD pixels (0.154 mm) in in vivo experiments.
• Demonstrated superior performance in handling motion artifacts and mechanical inaccuracies.
• Successful in vivo fluorescence molecular tomography was conducted, validating the method's efficiency.

Conclusions:

• The optimal radon transform-based surface reconstruction method significantly enhances 3D surface accuracy in non-contact FMT.
• This advancement is crucial for improving the reliability and precision of in vivo molecular imaging studies.
• The method provides a robust solution for surface reconstruction challenges in dynamic biological systems.