Can patient-specific acquisition protocol improve performance on defect detection task in myocardial perfusion SPECT?

Area of Science:

• Medical Imaging
• Nuclear Medicine
• Cardiology

Background:

• Myocardial perfusion SPECT (MPS) is crucial for diagnosing coronary artery disease.
• Conventional MPS protocols yield suboptimal image quality in patients with outlier anatomies (e.g., large breasts), impacting diagnostic accuracy.
• Improving image quality without increasing radiation dose or scan time is a significant challenge.

Purpose of the Study:

• To evaluate if a personalized, patient-specific acquisition protocol can enhance myocardial perfusion defect detection in MPS images.
• To introduce and test a novel strategy, precision SPECT (PRESPECT), for optimizing MPS acquisition protocols.

Main Methods:

• Developed PRESPECT, a patient-specific protocol optimization strategy integrating ideal observer theory and reconstruction constraints.
• Optimized acquisition time for each projection view to maximize defect detection performance.
• Conducted a realistic simulation study using anthropomorphic channelized Hotelling observers on low-dose scans of patients with outlier anatomies.

Main Results:

• PRESPECT demonstrated improved performance in detecting myocardial perfusion defects for patients with outlier anatomies.
• Personalized optimization of MPS acquisition protocols led to enhanced image quality and diagnostic potential.
• Simulation results indicate a significant benefit of tailored acquisition strategies.

Conclusions:

• Patient-specific personalization of MPS acquisition protocols, like PRESPECT, shows potential to improve defect detection performance.
• This approach offers a promising solution for enhancing diagnostic accuracy in challenging patient populations.
• Findings support further research into patient-specific acquisition and reconstruction for MPS and other medical imaging modalities.