Representing Anatomical Trees by Denoising Diffusion of Implicit Neural Fields

arXiv:2403.08974v1 Announce Type: new
Abstract: Anatomical trees play a central role in clinical diagnosis and treatment planning. However, accurately representing anatomical trees is challenging due to their varying and complex topology and geometry. Traditional methods for representing tree structures, captured using medical imaging, while invaluable for visualizing vascular and bronchial networks, exhibit drawbacks in terms of limited resolution, flexibility, and efficiency. Recently, implicit neural representations (INRs) have emerged as a powerful tool for representing shapes accurately and efficiently. We propose …

abstract arxiv clinical cs.ai cs.cv denoising diagnosis diffusion fields geometry however imaging medical medical imaging planning role topology treatment tree trees type