Publications by authors named "ZhaoKun Zhu"

Background: This study aimed to compare the different outcomes of mandibular distraction osteogenesis (MDO) using computer-aided design and manufacturing (CAD/CAM) surgical guides accompanied by pre-bent distractors versus CAD/CAM surgical guides with commercial distractors.

Methods: Twenty-eight patients with severe dentofacial deformities secondary to unilateral temporomandibular joint ankylosis (TMJA) were retrospectively enrolled. Ten parameters associated with MDO were measured preoperatively, virtually, and postoperatively.

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Aim Of The Study: To analyze the positional changes of the inferior alveolar nerve after sagittal split ramus osteotomy (SSRO) and assess the impact of these changes on postoperative sensory nerve disturbances.

Material And Methods: Preoperative and postoperative (one year) spiral CT scans were used to categorize the inferior alveolar nerve into the extended side (n = 30) and retrogressive side (n = 30). Measurement software was used to observe and measure positional changes of the mandibular nerve canal, followed by a comparative analysis.

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Objective: This study developed and evaluated a computer-based method for automating the registration of scanned dental models with 3D reconstructed skulls and segmentation of the temporomandibular joint (TMJ).

Methods: A dataset comprising 1274 skull models and corresponding scanned dental models was collected. In total, 1066 cases were used for the development of the computer-based method, while 208 cases were used for validation.

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Background: Dento-maxillofacial deformities are common problems. Orthodontic-orthognathic surgery is the primary treatment but accurate diagnosis and careful surgical planning are essential for optimum outcomes. This study aimed to establish and verify a machine learning-based decision support system for treatment of dento-maxillofacial malformations.

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Objective: To ascertain the airway characteristics in patients with unilateral temporomandibular joint ankylosis and maxilla-mandibular deformities (UTMAMD) and investigate the potential risk factors associated with obstructive sleep apnea (OSA) among UTMAMD patients.

Methods: Authors conducted a retrospective single-center study to assess and compare study group consisting of a cohort of 32 patients diagnosed with UTMAMD between January 2011 and July 2022 with control group including 54 participants. The study group was further divided into two subgroups based on the presence or absence of OSA in patients.

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The pBRDF model is able to relate the properties of target materials to the polarization information of incident and reflected light, and is an important basis for obtaining polarization information of targets in space. It is an important basis for obtaining target polarization information and polarization detection of space targets. P-G model is the first strictly pBRDF model officially released, but there are still deficiencies.

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Background: The authors aimed to compare the effects of total maxillary setback osteotomy (TMSO) and anterior maxillary segmental osteotomy (AMSO) on nasolabial morphology.

Methods: This retrospective clinical trial enrolled 130 patients undergoing maxillary surgery using TMSO or AMSO. Ten nasolabial-related parameters and nasal airway volume were measured preoperatively and postoperatively.

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Background: Digital splints are indispensable in orthognathic surgery. However, the present design process of splints is time-consuming and has low reproducibility. To solve these problems, an algorithm for artificial intelligent splints has been developed in this study, making the automatic design of splints accessible.

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Article Synopsis
  • - The paper highlights that using traditional bundle adjustment methods can lead to accuracy loss in parameter estimation when some observations are error-free, particularly in least squares matching.
  • - The authors propose a new approach involving a depth-based object point model and a depth-based sparse bundle adjustment method to address this issue, which represents object points using their 1D depth relative to reference images.
  • - Through simulations, the proposed method shows improved matching to the error model of the scenario, preventing further accuracy loss, and enhances computational efficiency in both simulated and real data experiments.
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Purpose: To investigate current Computer-Aided Design and Computer-Aided Manufacturing (CAD/CAM) technologies applied in the treatment of dentofacial deformities secondary to condylar osteochondroma and introduce a modified method with additional pre-bent titanium miniplates to improve the accuracy of operation.

Methods: Literature review about the application of CAD/CAM in the treatment of condylar osteochondroma and secondary dentofacial deformities was conducted. And 8 patients with condylar osteochondroma and secondary dentofacial deformities were treated by the CAD/CAM cutting and drilling surgical guides as well as pre-bent titanium miniplates.

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The relative pose estimation of uncooperative spacecraft is an essential technology in space missions. However, lacking the prior knowledge of uncooperative targets brings great challenges to accurately measure their pose, which hinders their application in space. To overcome these problems, an accurate and robust pose estimation approach for uncooperative spacecraft is proposed based on a time-of-flight camera coupled with a gray-scale camera.

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Adequate peri-implant bone mass and bone quality are essential factors to ensure the initial stability of the implant and success of implant operation. In clinical settings, the lack of bone mass often restricts the implant operation. In this study, we fabricated a smart porous scaffold with a shape memory function and investigated whether it could promote peri-implant osteogenesis under the periosteum.

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Article Synopsis
  • The study focuses on advanced techniques for fully automatic 3D measurements of large structures using photogrammetric vision metrology.
  • It introduces a new coded target design with circular retroreflective discs and develops algorithms for detection and recognition using blob detection and clustering.
  • Additionally, a three-stage strategy for automatic network orientation and a novel matching path concept for noncoded targets are proposed, with experiments validating the accuracy of these methods on an airship's keel.
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