An Approach to Extraction Midsagittal Plane of Skull From Brain CT Images for Oral and Maxillofacial Surgery

Tan, Wenjun; Kang, Ying; Dong, Zhiwei; Chen, Chao; Yin, Xiaoxia; Su, Ying; Zhang, Yanchun; Zhang, Li; Xu, Lisheng

doi:10.1109/access.2019.2920862

Cited by 19 publications

(15 citation statements)

References 55 publications

(67 reference statements)

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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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“…Beta-band activities play an important role in motor imagery. In previous research papers, researchers noticed that event-related desynchronization occurs during left hand, right hand, foot, and tongue motor imagery tasks [21–23]. They showed a significant usage of beta-band activities for motor recovery in stroke patients [17–24].…”

Section: Introductionmentioning

confidence: 99%

G-Causality Brain Connectivity Differences of Finger Movements between Motor Execution and Motor Imagery

Chen

Zhang

Belkacem

et al. 2019

Journal of Healthcare Engineering

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Motor imagery is one of the classical paradigms which have been used in brain-computer interface and motor function recovery. Finger movement-based motor execution is a complex biomechanical architecture and a crucial task for establishing most complicated and natural activities in daily life. Some patients may suffer from alternating hemiplegia after brain stroke and lose their ability of motor execution. Fortunately, the ability of motor imagery might be preserved independently and worked as a backdoor for motor function recovery. The efficacy of motor imagery for achieving significant recovery for the motor cortex after brain stroke is still an open question. In this study, we designed a new paradigm to investigate the neural mechanism of thirty finger movements in two scenarios: motor execution and motor imagery. Eleven healthy participants performed or imagined thirty hand gestures twice based on left and right finger movements. The electroencephalogram (EEG) signal for each subject during sixty trials left and right finger motor execution and imagery were recorded during our proposed experimental paradigm. The Granger causality (G-causality) analysis method was employed to analyze the brain connectivity and its strength between contralateral premotor, motor, and sensorimotor areas. Highest numbers for G-causality trials of 37 ± 7.3, 35.5 ± 8.8, 36.3 ± 10.3, and 39.2 ± 9.0 and lowest Granger causality coefficients of 9.1 ± 3.2, 10.9 ± 3.7, 13.2 ± 0.6, and 13.4 ± 0.6 were achieved from the premotor to motor area during execution/imagination tasks of right and left finger movements, respectively. These results provided a new insight into motor execution and motor imagery based on hand gestures, which might be useful to build a new biomarker of finger motor recovery for partially or even completely plegic patients. Furthermore, a significant difference of the G-causality trial number was observed during left finger execution/imagery and right finger imagery, but it was not observed during the right finger execution phase. Significant difference of the G-causality coefficient was observed during left finger execution and imagery, but it was not observed during right finger execution and imagery phases. These results suggested that different MI-based brain motor function recovery strategies should be taken for right-hand and left-hand patients after brain stroke.

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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

An Approach to Extraction Midsagittal Plane of Skull From Brain CT Images for Oral and Maxillofacial Surgery

Cited by 19 publications

References 55 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

G-Causality Brain Connectivity Differences of Finger Movements between Motor Execution and Motor Imagery

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

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