Radiopharmaceutical imaging based on 3D-CZT Compton camera with 3D-printed mouse phantom.

Area of Science:

• Nuclear Medicine
• Medical Imaging Technology
• Radiation Detection

Background:

• Radiopharmaceutical imaging is crucial for diagnosing and monitoring diseases.
• Existing imaging technologies face limitations in resolution and sensitivity.
• Three-dimensional Compton cameras offer potential for improved imaging.

Purpose of the Study:

• To evaluate the performance of a three-dimensional Cadmium Zinc Telluride Compton Camera (3D-CZT CC) for radiopharmaceutical imaging.
• To investigate factors influencing imaging quality using a 3D-printed mouse phantom.
• To optimize event selection and image reconstruction for enhanced diagnostic accuracy.

Main Methods:

• Monte Carlo simulations were employed to optimize event selection and image reconstruction algorithms.
• A 3D-printed mouse phantom was used for experimental validation.
• The ordered origin ensemble algorithm with resolution recovery was implemented and compared to simpler methods.

Main Results:

• Intrinsic resolution limitations of 3D-CZT cameras can degrade image quality.
• Selecting events with interaction distances >10 mm reduced Compton axis deviation to <10%.
• The optimized algorithm significantly reduced artifacts and improved image reconstruction quality, enabling visualization of radiopharmaceutical distribution within 15 minutes.

Conclusions:

• The study confirms the feasibility of using 3D-CZT CC for in-vivo radiopharmaceutical distribution measurements.
• Image reconstruction quality was substantially improved through optimized algorithms and event selection.
• The 3D-CZT CC shows promise for advanced nuclear medicine applications.