3D modelling of non-intestinal colorectal anatomy

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 identifi...

Full description

Saved in:
Bibliographic Details
Published in:International journal for computer assisted radiology and surgery 2019-01, Vol.14 (1), p.73-82
Main Authors: White, Eoin, McMahon, Muireann, Walsh, Michael, Coffey, J. Calvin, Walsh, Leon, Walsh, Dara, O’Sullivan, Leonard
Format: Article
Language:English
Subjects:
Anatomy
Colon
Computed tomography
Computer Imaging
Computer Science
Health Informatics
Imaging
Magnetic resonance imaging
Medical devices
Medical electronics
Medical equipment
Medical imaging
Medical research
Medicine
Medicine & Public Health
Mesentery
Modelling
Original Article
Pattern Recognition and Graphics
Peritoneum
Radiology
Soft tissues
Surgery
Target recognition
Thickness
Three dimensional models
Vision
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1861-6410
1861-6429
DOI:10.1007/s11548-018-1863-y