A Perspective on Deep Imaging
This perspective addresses the challenge of enhancing medical image reconstruction for better clinical outcomes, but it is incremental as it builds on existing ideas without presenting new results.
The paper discusses the potential of integrating deep learning with tomographic imaging to advance image reconstruction theories and techniques, particularly in medical imaging, aiming for intelligent use of domain knowledge and improved clinical performance.
The combination of tomographic imaging and deep learning, or machine learning in general, promises to empower not only image analysis but also image reconstruction. The latter aspect is considered in this perspective article with an emphasis on medical imaging to develop a new generation of image reconstruction theories and techniques. This direction might lead to intelligent utilization of domain knowledge from big data, innovative approaches for image reconstruction, and superior performance in clinical and preclinical applications. To realize the full impact of machine learning on medical imaging, major challenges must be addressed.