Quantitative Image Quality Assessment in NAV4694 Amyloid PET Imaging for Alzheimer’s Disease Research

Quantitative Strategies for Detecting Off-Target Signal and Image Noise in ADNI NAV496 PET Imaging

As amyloid PET imaging becomes increasingly important in Alzheimer’s disease research, ensuring image quality is critical for reliable interpretation. This poster, which was presented at the Alzheimer’s Association International Conference (AAIC) 2026, reviews quantitative approaches for detecting image noise and off-target extracerebral signal in NAV4694 PET scans and demonstrates that automated metrics correlate with expert visual assessments, providing valuable insight into image quality across amyloid tracers.

Why download this poster?

• Learn how advanced image quality assessment can help improve confidence in amyloid PET data used in Alzheimer’s disease clinical research.
• Explore innovative approaches for identifying imaging artifacts and atypical signal patterns before they impact study analyses.
• Understand key image quality characteristics of NAV4694 relative to other commonly used amyloid PET tracers.