Anatomic surface reconstruction from sampled point cloud data and prior models

Deyu Sun, Maryam E. Rettmann, David R. Holmes III, Cristian Linte, Bruce Cameron, Jiquan Liu, Douglas L Packer, Richard A. Robb

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In this paper, we propose an approach for reconstruction of an anatomic surface model from point cloud data using the Screened Poisson Surface Reconstruction algorithm, which requires a collection of points and their normal vectors. Various algorithms exist for estimating normal vectors for point cloud data; however, in this work we describe a novel approach to estimating the normal vectors from a high-resolution prior model. In many medical applications, a preoperative high-resolution scan is acquired for diagnostic and planning purposes, whereas intraoperative, lower fidelity imaging is utilized during the procedure. This approach assumes an already existing registration between intra-operatively acquired data and the preoperative model. We conducted simulation experiments to evaluate the effect of registration error, point sampling rate, and noise levels on the acquired point cloud data samples. In addition, we evaluated the effect of using both the closest point, as well as a neighborhood of closest points on the prior model for estimating the normal. Our results showed that surface reconstruction error increases with higher registration error; however, acceptable performance was achieved with clinically-Acceptable registration error. In addition, the best reconstruction was obtained when estimating the normal using only the closest point on the prior model, as opposed to utilizing a neighborhood of points. When combining the effect of all factors (Gaussian sampling noise of zero mean and σ=1.8mm; Gaussian translational error of zero mean and σ=2.0mm; and Gaussian rotational error of zero mean and σ=3°) the overall RMS reconstruction error was 0.88±0.03mm.

Original languageEnglish (US)
Title of host publicationStudies in Health Technology and Informatics
Pages387-393
Number of pages7
Volume196
DOIs
StatePublished - 2014
Event21st Medicine Meets Virtual Reality Conference, NextMed/MMVR 2014 - Manhattan Beach, CA, United States
Duration: Feb 20 2014Feb 22 2014

Other

Other21st Medicine Meets Virtual Reality Conference, NextMed/MMVR 2014
CountryUnited States
CityManhattan Beach, CA
Period2/20/142/22/14

Fingerprint

Surface reconstruction
Noise
Anatomic Models
Selection Bias
Sampling
Medical applications
Imaging techniques
Planning

Keywords

  • Anatomic surface reconstruction
  • consistent normal vector estimation
  • prior model
  • Screened Poisson Surface Reconstruction

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Sun, D., Rettmann, M. E., Holmes III, D. R., Linte, C., Cameron, B., Liu, J., ... Robb, R. A. (2014). Anatomic surface reconstruction from sampled point cloud data and prior models. In Studies in Health Technology and Informatics (Vol. 196, pp. 387-393) https://doi.org/10.3233/978-1-61499-375-9-387

Anatomic surface reconstruction from sampled point cloud data and prior models. / Sun, Deyu; Rettmann, Maryam E.; Holmes III, David R.; Linte, Cristian; Cameron, Bruce; Liu, Jiquan; Packer, Douglas L; Robb, Richard A.

Studies in Health Technology and Informatics. Vol. 196 2014. p. 387-393.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sun, D, Rettmann, ME, Holmes III, DR, Linte, C, Cameron, B, Liu, J, Packer, DL & Robb, RA 2014, Anatomic surface reconstruction from sampled point cloud data and prior models. in Studies in Health Technology and Informatics. vol. 196, pp. 387-393, 21st Medicine Meets Virtual Reality Conference, NextMed/MMVR 2014, Manhattan Beach, CA, United States, 2/20/14. https://doi.org/10.3233/978-1-61499-375-9-387
Sun D, Rettmann ME, Holmes III DR, Linte C, Cameron B, Liu J et al. Anatomic surface reconstruction from sampled point cloud data and prior models. In Studies in Health Technology and Informatics. Vol. 196. 2014. p. 387-393 https://doi.org/10.3233/978-1-61499-375-9-387
Sun, Deyu ; Rettmann, Maryam E. ; Holmes III, David R. ; Linte, Cristian ; Cameron, Bruce ; Liu, Jiquan ; Packer, Douglas L ; Robb, Richard A. / Anatomic surface reconstruction from sampled point cloud data and prior models. Studies in Health Technology and Informatics. Vol. 196 2014. pp. 387-393
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