MidSurfer: A Parameter-Free Approach for Mid-Surface Extraction from Segmented Volumetric Data
<|reference_start|>MidSurfer: A Parameter-Free Approach for Mid-Surface Extraction from Segmented Volumetric Data: In the field of volumetric data processing and analysis, extracting mid-surfaces from thinly bounded compartments is crucial for tasks such as surface area estimation and accurate modeling of biological structures, yet it has lacked a standardized approach. To bridge this gap, we introduce MidSurfer--a novel parameter-free method for extracting mid-surfaces from segmented volumetric data. Our method produces smooth, uniformly triangulated meshes that accurately capture the structural features of interest. The process begins with the Ridge Field Transformation step that transforms the segmented input data, followed by the Mid-Polyline Extraction Algorithm that works on individual volume slices. Based on the connectivity of components, this step can result in either single or multiple polyline segments that represent the structural features. These segments form a coherent series across the volume, creating a backbone of regularly distributed points on each slice that represents the mid-surface. Subsequently, we employ a Polyline Zipper Algorithm for triangulation that connects these polyline segments across neighboring slices, yielding a detailed triangulated mid-surface mesh. Our findings demonstrate that this method surpasses previous techniques in versatility, simplicity of use, and accuracy. Our approach is now publicly available as a plugin for ParaView, a widely-used multi-platform tool for data analysis and visualization, and can be found at https://github.com/kaust-vislab/MidSurfer .<|reference_end|>
@article{boneš2024midsurfer:,
    title={MidSurfer: A Parameter-Free Approach for Mid-Surface Extraction from
  Segmented Volumetric Data},
    author={Eva Bonev{s}, Dawar Khan, Ciril Bohak, Benjamin A. Barad, Danielle A.
  Grotjahn, Ivan Viola and Thomas Theu{ss}l},
    journal={arXiv preprint arXiv:2405.19339},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.19339},
    primaryClass={cs.GR cs.CG}
}