Learning to Rank the Severity of Unrepaired Cleft Lip Nasal Deformity on 3D Mesh Data

Wu, Jia; Tse, Raymond; Shapiro, Linda G.

doi:10.1109/icpr.2014.88

Cited by 9 publications

(7 citation statements)

References 14 publications

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“…In previous SRPs studies of the face and skull, SRP evaluation indicators have primarily included the angle and FAI errors [24,25]. These two indicators can assess the global proximity of SRP, but neither can quantitatively analyse facial landmark asymmetry.…”

Section: A New Srp Evaluation Indicator: the Position Error Of Mirrormentioning

confidence: 99%

A novel method for 3D face symmetry reference plane based on weighted Procrustes analysis algorithm

et al. 2020

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Background We aimed to establish a novel method, using the weighted Procrustes analysis (WPA) algorithm, which assigns weight to facial anatomical landmarks, to construct a three-dimensional facial symmetry reference plane (SRP) for mandibular deviation patients. Methods Three-dimensional facial SRPs were independently extracted from 15 mandibular deviation patients using both our WPA algorithm and the standard PA algorithm. A reference plane was defined to serve as the ground truth. To determine whether the WPA SRP or the PA SRP was closer to the ground truth, we measured the position error of mirrored landmarks, the facial asymmetry index (FAI) error, and the angle error for the global face and each facial third partition. Results The average angle error between the WPA SRP and the ground truth was 1.66 ± 0.81°, which was smaller than that between the PA SRP and the ground truth. The position error of the mirrored landmarks constructed using the WPA algorithm in the global face (3.64 ± 1.53 mm) and each facial partition was lower than that constructed using the PA algorithm. The average FAI error of the WPA SRP was − 7.77 ± 17.02 mm, which was smaller than that of the PA SRP. Conclusions This novel automatic algorithm, based on weighted anatomic landmarks, can provide a more adaptable SRP than the standard PA algorithm when applied to severe mandibular deviation patients and can better simulate the diagnosis strategies of clinical experts.

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Section: A New Srp Evaluation Indicator: the Position Error Of Mirrormentioning

confidence: 99%

A novel method for 3D face symmetry reference plane based on weighted Procrustes analysis algorithm

et al. 2020

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“…In further preliminary studies, we have used the Deformation method to define the midfacial plane to quantify symmetry before and after CL repair (Wu, 2014). We have also developed computer-based tools using these measures that are capable of predicting cleft severity, as defined by an expert cleft surgeon (Wu et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

Measuring Symmetry in Children with Unrepaired Cleft Lip: Defining a Standard for the Three-Dimensional Midfacial Reference Plane

Heike

Birgfeld

et al. 2016

The Cleft Palate Craniofacial Journal

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“…In previous studies of SRPs of the face and skull, SRP evaluation indicators have mainly included the angle error and FAI error [24,25]. These two indicators can assess the global proximity of the SRP, but neither can quantitatively analyse facial landmark asymmetry.…”

Section: A New Srp Evaluation Indicator: the Position Error Of Mirrormentioning

confidence: 99%

A novel method for 3D face symmetry reference plane based on Weighted Procrustes Analysis algorithm

Zhu

Zheng

Yang

et al. 2020

Preprint

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Background We aimed to establish a novel method based on Weighted Procrustes Analysis (WPA) algorithm that assigns weight to facial anatomical landmarks to automatically construct a three-dimensional facial Symmetry Reference Plane (SRP) for mandibular deviation patients. Methods Three-dimensional facial SRPs were extracted independently from 15 mandibular deviation patients, using both our WPA algorithm and the standard PA algorithm. A reference plane defined from professional experience served as the ground truth. To test whether the WPA SRP or the PA SRP was closer to the ground truth, we measured the position error of mirrored landmarks, the facial asymmetry index (FAI) error, and the angle error for the global face and for each facial third partitions. Results The average angle error between the WPA SRP and the ground truth was 1.66 ± 0.81°, which was smaller than that between the PA SRP and the ground truth. The position error of mirrored landmarks constructed using the WPA algorithm in the global face (3.64 ± 1.53 mm) and each facial partition was lower than the error of those constructed using the PA algorithm. The average FAI error of the WPA SRP was − 7.77 ± 17.02 mm, which was smaller than that of the PA SRP. Conclusions This novel automatic algorithm based on weighted anatomic landmarks provided a more adaptable SRP than the standard PA algorithm when applied to severe mandibular deviation patients and better simulated the diagnosis strategy of clinical experts.

show abstract

Learning to Rank the Severity of Unrepaired Cleft Lip Nasal Deformity on 3D Mesh Data

Cited by 9 publications

References 14 publications

A novel method for 3D face symmetry reference plane based on weighted Procrustes analysis algorithm

A novel method for 3D face symmetry reference plane based on weighted Procrustes analysis algorithm

Measuring Symmetry in Children with Unrepaired Cleft Lip: Defining a Standard for the Three-Dimensional Midfacial Reference Plane

A novel method for 3D face symmetry reference plane based on Weighted Procrustes Analysis algorithm

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