Neural Radiance Fields in Medical Imaging: Challenges and Next Steps

arXiv:2402.17797v1 Announce Type: cross
Abstract: Neural Radiance Fields (NeRF), as a pioneering technique in computer vision, offer great potential to revolutionize medical imaging by synthesizing three-dimensional representations from the projected two-dimensional image data. However, they face unique challenges when applied to medical applications. This paper presents a comprehensive examination of applications of NeRFs in medical imaging, highlighting four imminent challenges, including fundamental imaging principles, inner structure requirement, object boundary definition, and color density significance. We discuss current methods on different …

abstract applications arxiv challenges computer computer vision cs.cv data eess.iv face fields image image data imaging medical medical imaging nerf neural radiance fields next paper three-dimensional type vision