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

Area of Science:

• Medical Imaging
• Nuclear Medicine
• Cardiovascular Imaging

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), reducing diagnostic accuracy.
• Improving MPS image quality without increasing radiation dose or scan time presents a significant challenge.

Approach:

• Developed a patient-specific protocol optimization strategy named precision SPECT (PRESPECT).
• PRESPECT integrates ideal observer theory with tomographic reconstruction constraints to optimize projection view acquisition times.
• Utilized a realistic simulation study with an anthropomorphic channelized Hotelling observer to evaluate PRESPECT on patients with outlier anatomies.

Key Points:

• PRESPECT optimizes acquisition time per projection view to maximize MPS defect detection performance.
• Simulations demonstrated improved defect detection performance with PRESPECT in patients with outlier anatomies.
• Results highlight the potential of personalized MPS acquisition protocols.

Conclusions:

• Patient-specific protocol optimization, like PRESPECT, can enhance MPS image quality and diagnostic accuracy.
• This approach holds promise for improving myocardial perfusion imaging in challenging patient populations.
• Further research is warranted for developing optimal patient-specific acquisition and reconstruction protocols for MPS and other imaging modalities.