Axial Resolution

Axial resolution, the sharpness of detail along the z-axis in imaging, is a critical factor limiting the quality of various modalities, including microscopy and magnetic resonance imaging (MRI). Current research focuses on enhancing axial resolution using deep learning techniques, particularly diffusion models and convolutional neural networks, often incorporating strategies like angular resolution enhancement and geometric constraints to improve reconstruction accuracy. These advancements are significant because improved axial resolution directly translates to more precise and detailed images, leading to better diagnoses in medical imaging and more accurate analyses in scientific research.