Assessing 3D volumetric asymmetry in facial palsy patients via advanced multi-view landmarks and radial curves

Abstract The research on facial palsy, a unilateral palsy of the facial nerve, is a complex field with many different causes and symptoms. Even modern approaches to evaluate the facial palsy state rely mainly on stills and 2D videos of the face and rarely on dynamic 3D information. Many of these analysis and visualization methods require manual intervention, which is time-consuming and error-prone. Moreover, they often depend on alignment algorithms or Euclidean measurements and consider only static facial expressions. Volumetric changes by muscle movement are essential for facial palsy analysis but require manual extraction. We propose to extract an estimated unilateral volumetric description for dynamic expressions from 3D scans. Accurate landmark positioning is required for processing the unstructured facial scans. In our case, it is attained via a multi-view method compatible with any existing 2D predictors. We analyze prediction stability and robustness against head rotation during video sequences. Further, we investigate volume changes in static and dynamic facial expressions for 34 patients with unilateral facial palsy and visualize volumetric disparities on the face surface. In a case study, we observe a decrease in the volumetric difference between the face sides during happy expressions at the beginning (13.8 ± 10.0 $$\hbox {mm}^{3}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mtext>mm</mml:mtext> <mml:mn>3</mml:mn> </mml:msup> </mml:math> ) and end (12.8 ± 10.3 $$\hbox {mm}^{3}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mtext>mm</mml:mtext> <mml:mn>3</mml:mn> </mml:msup> </mml:math> ) of a ten-day biofeedback therapy. The neutral face kept a consistent volume range of 11.8 $$-$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mo>-</mml:mo> </mml:math> 12.1 $$\hbox {mm}^3$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mtext>mm</mml:mtext> <mml:mn>3</mml:mn> </mml:msup> </mml:math> . The reduced volumetric difference after therapy indicates less facial asymmetry during movement, which can be used to monitor and guide treatment decisions. Our approach minimizes human intervention, simplifying the clinical routine and interaction with 3D scans to provide a more comprehensive analysis of facial palsy.

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Publication Details

Journal
Machine Vision and Applications
Published
2024-11-04
DOI
https://doi.org/10.1007/s00138-024-01616-1
Citations
3
Primary Topic
Facial Nerve Paralysis Treatment and Research
Type
article
Field-Weighted Citation Impact
1.11

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article

Assessing 3D volumetric asymmetry in facial palsy patients via advanced multi-view landmarks and radial curves

Joachim Denzler, Gerd Fabian Volk, Tim Büchner, Orlando Guntinas‐Lichius et al.
3 citations
Machine Vision and Applications
Facial Nerve Paralysis Treatment and Research
1.11
article

Assessing 3D volumetric asymmetry in facial palsy patients via advanced multi-view landmarks and radial curves

Joachim Denzler, Gerd Fabian Volk, Tim Büchner, Orlando Guntinas‐Lichius, Sven Sickert
article en
3 citations

Abstract

Abstract The research on facial palsy, a unilateral palsy of the facial nerve, is a complex field with many different causes and symptoms. Even modern approaches to evaluate the facial palsy state rely mainly on stills and 2D videos of the face and rarely on dynamic 3D information. Many of these analysis and visualization methods require manual intervention, which is time-consuming and error-prone. Moreover, they often depend on alignment algorithms or Euclidean measurements and consider only static facial expressions. Volumetric changes by muscle movement are essential for facial palsy analysis but require manual extraction. We propose to extract an estimated unilateral volumetric description for dynamic expressions from 3D scans. Accurate landmark positioning is required for processing the unstructured facial scans. In our case, it is attained via a multi-view method compatible with any existing 2D predictors. We analyze prediction stability and robustness against head rotation during video sequences. Further, we investigate volume changes in static and dynamic facial expressions for 34 patients with unilateral facial palsy and visualize volumetric disparities on the face surface. In a case study, we observe a decrease in the volumetric difference between the face sides during happy expressions at the beginning (13.8 ± 10.0 $$\hbox {mm}^{3}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mtext>mm</mml:mtext> <mml:mn>3</mml:mn> </mml:msup> </mml:math> ) and end (12.8 ± 10.3 $$\hbox {mm}^{3}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mtext>mm</mml:mtext> <mml:mn>3</mml:mn> </mml:msup> </mml:math> ) of a ten-day biofeedback therapy. The neutral face kept a consistent volume range of 11.8 $$-$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mo>-</mml:mo> </mml:math> 12.1 $$\hbox {mm}^3$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mtext>mm</mml:mtext> <mml:mn>3</mml:mn> </mml:msup> </mml:math> . The reduced volumetric difference after therapy indicates less facial asymmetry during movement, which can be used to monitor and guide treatment decisions. Our approach minimizes human intervention, simplifying the clinical routine and interaction with 3D scans to provide a more comprehensive analysis of facial palsy.

Machine Vision and ApplicationsVol. 36(1)
Jena University Hospital (DE), Friedrich Schiller University Jena (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 20%
Facial Nerve Paralysis Treatment and Research
1.11
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