Segmentation and Quantitative Analysis of Photoacoustic Imaging: A Review

Photoacoustic imaging is an emerging biomedical technique that combines optical contrast and ultrasound resolution to create unprecedented light absorption in deep tissue. Thanks its fusional advantages, photoacoustic can provide multiple structural functional insights into biological tissues such as blood vasculatures tumors monitor the kinetic movements of hemoglobin lipids. To better visualize analyze regions interest, segmentation quantitative analyses were used extract several factors, intensity level changes, diameter, tortuosity tissues. Over past 10 years, classical methods advances learning approaches have been utilized research investigations. In this review, we a comprehensive review developed process preclinical clinical experiments. We focus on parametric reliability analysis for semantic instance-level segmentation. also introduce similarities alternatives models qualitative measurements using imaging.