A comprehensive review on Compton camera image reconstruction: from principles to AI innovations

Area of Science:

• Biomedical Imaging
• Nuclear Physics
• Image Reconstruction

Background:

• Compton cameras offer sensitive gamma-ray imaging for biomedical applications.
• Understanding Compton scattering is crucial for gamma-ray imaging.
• Reviewing Compton camera components and design is essential.

Purpose of the Study:

• To provide a comprehensive overview of Compton camera image reconstruction technologies.
• To highlight recent advancements, including machine learning approaches.
• To address challenges like conical back-projection in reconstruction.

Main Methods:

• Review of analytical, iterative, and statistical image reconstruction algorithms.
• Discussion of machine learning-based reconstruction methods.
• Analysis of signal processing techniques for conical back-projection.

Main Results:

• Compton camera technology has advanced significantly in image reconstruction.
• Machine learning shows potential for enhanced image quality and reduced reconstruction time.
• Innovative signal processing improves accuracy and resolution by addressing conical back-projection.

Conclusions:

• The review offers valuable insights into state-of-the-art Compton camera reconstruction.
• It serves as a guide for researchers entering the field of Compton camera imaging.
• Further advancements promise improved biomedical gamma-ray imaging capabilities.