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3D modelling of non-intestinal colorectal anatomy

  • Eoin White
  • Muireann McMahon
  • Michael Walsh
  • J. Calvin Coffey
  • Leon Walsh
  • Dara Walsh
  • Leonard O’SullivanEmail author
Original Article

Abstract

Purpose

There is a paucity of methods to model soft anatomical tissues. Accurate modelling of these tissues can be difficult with current medical imaging technology.

Methods

The aim of this research was to develop a methodology to model non-intestinal colorectal tissues that are not readily identifiable radiologically to enhance contextual understanding of these tissues and inform medical device design. The models created were used to inform the design of a novel medical device to separate the mesocolon from the retroperitoneum during resection of the colon. We modelled the peritoneum and the mesentery. The mesentery was used to indicate the location of Toldt’s fascia.

Results

We generated a point cloud dataset using cryosection images as the target anatomy is more visible than in CT or MRI images. The thickness of the mesentery could not be accurately determined as point cloud data do not have thickness. A denser point cloud detailing the mesenteric boundaries could be used to address this.

Conclusions

Expert anatomical and surgical insight and point cloud data modelling methods can be used to model soft tissues. This research enhances the overall understanding of the mesentery and Toldt’s fascia in the human specimen which is necessary for medical device innovations for colorectal surgical procedures.

Keywords

Mesentery Mesocolon Fascia Medical device Design 3D Cryosection 

Notes

Author contributions

EW assisted in designing the study, evaluated the modelling techniques, performed the modelling work as presented (Figs. 1, 2, 3, 4, 5, 6), and contributed to each section of the manuscript. MM contributed to the review of the modelling approaches, and to the methods description in the manuscript. MW contributed to the design of the model validation approach, and to the writing of the results section. CC is a surgical and anatomical expert in this topic. He highlighted the need for the modelling of the anatomy, he detailed the relevant anatomy, and he reviewed the models developed. He also contributed to the overall manuscript layout and approach. LW created the point cloud data set and he also reviewed the accuracy of the models developed. He contributed to the method section of the manuscript. DW and EW explored the modelling approaches, and together developed the modelling approach as presented in the manuscript. LO’S designed the study and coordinated the activities and contributions of all authors to the manuscript. He led the point cloud acquisition session. He also led the writing of each section of the manuscript.

Funding

This study was funded by the Irish Research Council under the IRCSET Scholarship Scheme.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Supplementary material

11548_2018_1863_MOESM1_ESM.pdf (18.9 mb)
Supplementary material 1 (PDF 19372 kb)
11548_2018_1863_MOESM2_ESM.txt (1016 kb)
Supplementary material 2 (TXT 1015 kb)

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Copyright information

© CARS 2018

Authors and Affiliations

  1. 1.School of DesignUniversity of LimerickCastletroyIreland
  2. 2.School of EngineeringUniversity of LimerickCastletroyIreland
  3. 3.Health Research InstituteUniversity of LimerickCastletroyIreland
  4. 4.Bernal InstituteUniversity of LimerickCastletroyIreland
  5. 5.Graduate Entry Medical SchoolUniversity of LimerickCastletroyIreland
  6. 6.Department of Colorectal Surgery, University Hospital LimerickUniversity of LimerickCastletroyIreland

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