Recent advances in computational and bioimaging techniques have greatly enhanced the ability of biomedical engineers to better understand the dynamics of the human body and functions of living organisms. Specifically, recent advanced computational, mathematical, and physical methods have helped researchers to develop sophisticated techniques that can solve the problems encountered in the fields of bionics and biomechanics and improve the visualization of biological systems and design of new medical devices. Prominent examples include the tagged magnetic resonance imaging for studying brain biomechanics and medical ultrasound imaging for imitating animal echolocation. These advances in imaging and visualization methods are helping identify, classify, and quantify patterns in bionics and biomechanical investigations.

The aim of this special issue is to explore the state of the art of bioimaging technology used in bionics and biomechanical research. The special issue seeks original contributions addressing challenges in the problems of understanding the mechanics and functions of biological systems and living organisms solved by innovative bioimaging methods. The scope of the special issue includes the bioimaging analysis in biomechanics, investigation of the functions of living organisms through imaging techniques, inventions of biomedical devices, visualization, virtual reality, and machine learning methods. The original research studies and review articles related to the applications of biomedical imaging techniques and relative algorithms on bionics and biomechanics are highly encouraged to submit to this Special Issue.

Potential topics include but are not limited to the following:

• Applications of computational vision in bionics and biomechanics
• Medical image processing for analyzing the mechanics of biological systems
• Medical imaging for exploring the functions of living organisms
• Virtual reality and machine learning in bionics and biomechanics
• Innovations of bioimaging and visualization for design of medical devices
• Application of pattern recognition methods in biomechanics
• Bioimaging algorithm development for bionics and biomechanics
• Software development on computational vision and simulation