Towards Realistic 3D Models of Tumor Vascular Networks.

ABSTRACT: For reliable in silico or in vitro investigations in, for example, biosensing and drug delivery applications, accurate models of tumor vascular networks down to the capillary size are essential. Compared to images acquired with conventional medical imaging techniques, digitalized histological tumor slices have a higher resolution, enabling the delineation of capillaries. Volume rendering procedures can then be used to generate a 3D model. However, the preparation of such slices leads to misalignments in relative slice orientation between consecutive slices. Thus, image registration algorithms are necessary to re-align the slices. Here, we present an algorithm for the registration and reconstruction of a vascular network from histologic slices applied to 169 tumor slices. The registration i

SUBMITTER: Lindemann MC 

PROVIDER: S-EPMC10670125 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature