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3D visualization of perianal fistulas using parametric models.

N V Navkar¹, S Balakrishnan², S Kharbech¹

¹Department of Surgery, Hamad General Hospital, Hamad Medical Corporation, P.O. 3050, Doha, Qatar.

Techniques in Coloproctology

|January 30, 2022

Summary

This study introduces a new method for creating 3D parametric models from MRI scans of complex perianal fistulas. This approach significantly reduces generation time and enhances visualization for surgeons.

Keywords:

Magnetic resonance imaging (MRI)Perianal fistula Three-dimensional (3D) visualization

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Area of Science:

Medical Imaging
Surgical Anatomy
Computational Modeling

Background:

Magnetic resonance imaging (MRI) is standard for assessing complex perianal fistulas.
3D models from MRI improve understanding of fistula anatomy and pelvic floor relations for surgical planning.
Current 3D model generation is time-consuming due to manual delineation on MRI slices.

Purpose of the Study:

To develop an automated method for generating 3D models of perianal fistulas from MRI.
To reduce the manual effort and time required for 3D model creation by radiologists.
To provide enhanced anatomical information to surgeons for improved treatment of complex perianal fistulas.

Main Methods:

A novel method was developed to represent perianal fistula anatomies as parametric 3D models.
A 3D Slicer software plugin was created for generating these parametric models from MRI data.
Key structures like the levator ani muscle, sphincters, fistula tracks, and abscesses were modeled as tubular structures and splines.

Main Results:

Parametric models were successfully generated for three complex perianal fistula cases.
Similarity measures were computed for ten cases, validating the model's accuracy.
The parametric models were generated faster and provided richer visual information compared to standard 3D models.

Conclusions:

The proposed parametric modeling method offers faster generation of 3D information for perianal fistula cases.
This approach enhances visualization, aiding surgeons in treating complex perianal fistulas.
The method shows potential to streamline the workflow for radiologists and improve surgical outcomes.