Computer-aided automatic planning and biomechanical analysis of a novel arc screw for pelvic fracture internal fixation

Qing, Yang; Feng, Siru; Song, Jian; Cheng, Chang; Liang, Chendi; Wang, Yu

doi:10.1016/j.cmpb.2022.106810

Cited by 5 publications

(4 citation statements)

References 36 publications

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“…The R‐universal robot system, equipped with an optical tracking device, automated reduction planning, navigation software, and a UR16e robotic manipulator, was introduced to address this challenge. [ 164 ] Liu et al [ 118 ] developed a UNet‐based learning model capable of segmenting fracture fragments from large datasets and automating target position planning for reduction using an SSM‐based method. [ 119 ] This approach achieved a segmentation accuracy of 0.998 Dice coefficient and a reduction precision of 3.07 mm, significantly surpassing traditional methods in terms of accuracy and adaptability.…”

Section: Classic Cases Of Srs With Aimentioning

confidence: 99%

Evolution of Surgical Robot Systems Enhanced by Artificial Intelligence: A Review

Liu,

Wu,

Sang

et al. 2024

Advanced Intelligent Systems

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Surgical robot systems (SRS) represent an innovative cross‐disciplinary research field using robotic technology to assist surgeons in operations. Current bottlenecks in SRS, such as the limited ability to process complex information and make surgical decisions, have not been effectively solved. Artificial intelligence (AI) is a valuable technique for simulating and extending human intelligence. AI offers a new direction and impetus for SRS by enhancing performance in areas such as perception, navigation, surgical planning, and control strategies. This review introduces the developmental history of AI‐aided SRS, summarizes the basic SRS architecture, and analyzes how AI can improve SRS performance. Classical cases of AI‐aided SRS, the impact of evidence in clinical settings, and associated ethical and legal considerations are explored. Finally, the challenges in AI‐aided SRS are discussed, including algorithm development, surgical data science, human–robot coordination, and trust building between humans and robots.

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Section: Classic Cases Of Srs With Aimentioning

confidence: 99%

Evolution of Surgical Robot Systems Enhanced by Artificial Intelligence: A Review

Liu,

Wu,

Sang

et al. 2024

Advanced Intelligent Systems

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“…A notable proposal is to use an arc screw for the internal fixation of a pelvic fracture through an internal arc fixation channel (IAFC) located inside the pelvis [ 20 , 21 , 22 ]. An automatic planning algorithm for pelvic fractures is introduced to determine an optimal channel for the arc screw.…”

Section: Recent Workmentioning

confidence: 99%

“…The current implementation uses a robot-navigated drilling system capable of drilling constant curvature in a Sawbone model of the pelvis. Due to the complexity of the pelvic structure and the surrounding soft tissue, the feasibility of IAFC is still subject to change [ 20 , 21 , 22 ].…”

Section: Recent Workmentioning

confidence: 99%

Design of Proposed Software System for Prediction of Iliosacral Screw Placement for Iliosacral Joint Injuries Based on X-ray and CT Images

Benda

Kubíček

Madeja

et al. 2023

JCM

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One of the crucial tasks for the planning of surgery of the iliosacral joint is placing an iliosacral screw with the goal of fixing broken parts of the pelvis. Tracking of proper screw trajectory is usually done in the preoperative phase by the acquisition of X-ray images under different angles, which guide the surgeons to perform surgery. This approach is standardly complicated due to the investigation of 2D X-ray images not showing spatial perspective. Therefore, in this pilot study, we propose complex software tools which are aimed at making a simulation model of reconstructed CT (DDR) images with a virtual iliosacral screw to guide the surgery process. This pilot study presents the testing for two clinical cases to reveal the initial performance and usability of this software in clinical conditions. This model is consequently used for a multiregional registration with reference intraoperative X-ray images to select the slide from the 3D dataset which best fits with reference X-ray. The proposed software solution utilizes input CT slices of the pelvis area to create a segmentation model of individual bone components. Consequently, a model of an iliosacral screw is inserted into this model. In the next step, we propose the software CT2DDR which makes DDR projections with the iliosacral screw. In the last step, we propose a multimodal registration procedure, which performs registration of a selected number of slices with reference X-ray, and based on the Structural Similarity Index (SSIM) and index of correlation, the procedure finds the best match of DDR with X-ray images. In this pilot study, we also provide a comparative analysis of the computational costs of the multimodal registration upon various numbers of DDR slices to show the complex software performance. The proposed complex model has versatile usage for modeling and surgery planning of the pelvis area in fractures of iliosacral joints.

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“…Table 1 provides detailed information on the material properties, dimension information, and element types of each component 15,[16][17][18][19] . All parts of the bones and soft tissues were elastic materials, where the quadrilateral ligament was a membrane unit that was only subjected to tensile loads.…”

Section: Materials Propertymentioning

confidence: 99%

Study on the Vibration Behavior of the Head of an Upright Seated Human under Vertical Whole-Body Vibration

Dong,

Lu,

Liu

et al. 2023

Preprint

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To investigate the response behavior of the human head in upright sitting, a seated human finite element model with detailed skeletal and muscular soft tissues was created based on human biomechanics. The vertical first-order resonant frequency of each segment model was calculated by modal analysis, and the seat-to-head transmissibility (STHT) of the seated human finite element model was calculated by the random response method. The model had been verified through simulation and experimental studies. It was found that the upright seated human under vertical whole-body vibration showed an apparent resonance phenomenon around 5.7 Hz. The maximum value of the direct-axis response of the head in the sagittal plane was located in the posterior occipital region, where the STHT was 10% larger than that at the crown and 23% larger than that at the forehead. The direct-axis responses of the head in various positions within the coronal plane were almost identical. The maximum value of the cross-axis response was located at the crown of the head, and the response peaks in the sagittal and coronal planes were symmetrical about this point. Moreover, the maximum difference of direct-axis response at different positions reached 119%. Additionally, we found that the seated human body had not only Significant vertical and fore-aft displacements but also head rotation, leading to complex coupling vibration of the head. This study provides a reference and theoretical basis for the seated human head response measurement, model creation, and vibration comfort evaluation.

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Computer-aided automatic planning and biomechanical analysis of a novel arc screw for pelvic fracture internal fixation

Cited by 5 publications

References 36 publications

Evolution of Surgical Robot Systems Enhanced by Artificial Intelligence: A Review

Evolution of Surgical Robot Systems Enhanced by Artificial Intelligence: A Review

Design of Proposed Software System for Prediction of Iliosacral Screw Placement for Iliosacral Joint Injuries Based on X-ray and CT Images

Study on the Vibration Behavior of the Head of an Upright Seated Human under Vertical Whole-Body Vibration

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