Article
Computer Science, Hardware & Architecture
Laghumee Shrestha, Abeer Alsadoon, P. W. C. Prasad, Nada AlSallami, Sami Haddad
Summary: This research aimed to improve the convergence between computed tomography derived teeth model and real-time stereo view of patient's teeth by proposing an enhanced iterative closest point algorithm, a weighting mechanism, median value, and utilizing the random sample consensus (RANSAC) algorithm to remove outliers and reduce alignment error. The proposed solution not only improved registration accuracy from 0.44 mm to 0.33 mm but also increased processing time to 14 fps compared to 9 fps from the state-of-the-art solution. The system also effectively reduced the influence of extreme points by employing RANSAC algorithm.
JOURNAL OF SUPERCOMPUTING
(2021)
Article
Biology
Xingqi Fan, Baoxin Tao, Puxun Tu, Yihan Shen, Yiqun Wu, Xiaojun Chen
Summary: This study utilized mixed reality technology to enhance dental implant surgery navigation. By aligning virtual 3D images with the actual surgical site, surgeons can achieve accurate implant placement. The results showed that the system achieved better accuracy compared to traditional freehand placement.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Dentistry, Oral Surgery & Medicine
Marton Kivovics, Anna Takacs, Dorottya Penzes, Orsolya Nemeth, Eitan Mijiritsky
Summary: This in vitro study compared the accuracy of implant placement in model surgeries using three different methods. The results showed that the accuracy of AR-based dynamic navigation was comparable to static CAIS and superior to the free-hand method in terms of implant positioning.
JOURNAL OF DENTISTRY
(2022)
Article
Dentistry, Oral Surgery & Medicine
Anna Takacs, Eszter Hardi, Bianca Golzio Navarro Cavalcante, Bence Szabo, Barbara Kispelyi, Arpad Joob-Fancsaly, Krisztina Mikulas, Gabor Varga, Peter Hegyi, Marton Kivovics
Summary: This meta-analysis evaluates the accuracy of different computer-assisted implant surgery (CAIS) techniques and finds that fully guided static CAIS has the highest accuracy, while augmented reality and robotic CAIS show promise as alternative options.
JOURNAL OF DENTISTRY
(2023)
Review
Health Care Sciences & Services
Hang-Nga Mai, Van Viet Dam, Du-Hyeong Lee
Summary: This study is the first systematic review and meta-analysis that evaluates the accuracy of dental implant placements using AR navigation. The results indicate that AR navigation is more accurate than the freehand method and conventional navigation, and comparable to template-guided surgery. This review highlights the potential of AR navigation as an effective and accurate surgical guide for dental implant placement.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Article
Health Care Sciences & Services
Tai Wei, Feifei Ma, Feng Sun, Yu Ma
Summary: This study compared the U-tube and cusp dynamic navigation system registration methods for dental implant placement and assessed the impact of missing teeth location on these registrations. The results showed that both methods had acceptable accuracy with no significant difference. However, the U-tube method showed significant difference when assessing the location of missing teeth, while cusp registration was unaffected. Therefore, the cusp dynamic navigation system registration technique is not only accurate but also overcomes the limitations of the U-tube approach and deserves further clinical research.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Review
Engineering, Biomedical
Longfei Ma, Tianqi Huang, Jie Wang, Hongen Liao
Summary: This paper reviews and analyzes the visualization, registration, and tracking techniques in augmented reality (AR) surgical navigation systems and their applications in different surgical fields. The types of AR visualization are classified into in situ and non in situ visualization, with various rendering contents. Registration methods include manual registration, point-based registration, surface registration, marker-based registration, and calibration-based registration. Tracking methods consist of self-localization, tracking with integrated cameras, external tracking, and hybrid tracking. The paper also discusses the challenges and future development trends of AR in surgical fields.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Article
Engineering, Biomedical
Longfei Ma, Hanying Liang, Boxuan Han, Shizhong Yang, Xinran Zhang, Hongen Liao
Summary: In this study, a novel augmented reality (AR) surgical navigation method with ultrasound-assisted point cloud registration for percutaneous ablation of liver tumors is proposed. The experimental results demonstrate the acceptable targeting accuracy of this method on the liver surface, even in the case of liver deformation.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
(2022)
Article
Oncology
Santiago Ochandiano, David Garcia-Mato, Alba Gonzalez-Alvarez, Rafael Moreta-Martinez, Manuel Tousidonis, Carlos Navarro-Cuellar, Ignacio Navarro-Cuellar, Jose Ignacio Salmeron, Javier Pascau
Summary: Image-guided surgery, prosthetic-based virtual planning, 3D printing, and CAD/ CAM technology have revolutionized head and neck ablative and reconstructive surgical oncology, enabling accurate dental implant placement and improving quality of life. A learning curve exists for surgeons using guided methods, with dynamic navigation cases achieving the highest accuracy in implant placement. Smartphone-based augmented reality visualization is a valuable tool for intraoperative visualization and final verification, contributing to the success of free flap oncological reconstruction.
FRONTIERS IN ONCOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Bing Cao, Bo Yuan, Guofeng Xu, Yin Zhao, Yanqing Sun, Zhiwei Wang, Shengyuan Zhou, Zheng Xu, Yao Wang, Xiongsheng Chen
Summary: This study evaluated the feasibility and accuracy of AR-assisted pedicle screw placement using a new intraoperative rapid registration method. The results showed that AR-based navigation technology can provide accurate guidance for pedicle screw insertion and save operation time.
JOURNAL OF DIGITAL IMAGING
(2023)
Article
Computer Science, Interdisciplinary Applications
T. Collins, D. Pizarro, S. Gasparini, N. Bourdel, P. Chauvet, M. Canis, L. Calvet, A. Bartoli
Summary: The system presented in the research successfully performed markerless real-time registration and augmented reality of a mobile human organ with monocular laparoscopes in the operating room. The system addresses the challenges posed by the weakly-textured, highly mobile nature of the uterus through novel and robust solutions.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2021)
Article
Biology
Long Shao, Shuo Yang, Tianyu Fu, Yucong Lin, Haixiao Geng, Danni Ai, Jingfan Fan, Hong Song, Tao Zhang, Jian Yang
Summary: This paper introduces a novel AR calibration framework that combines a Microsoft HoloLens device with a single camera registration module for surgical navigation. The proposed method achieves high accuracy in calibrating the pose relationship between the image marker and the patient, and demonstrates clinical feasibility in liver puncture simulation experiments.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Orthopedics
Masahiro Hasegawa, Yohei Naito, Shine Tone, Akihiro Sudo
Summary: This study aimed to evaluate the accuracy of cup placement using a computed tomography (CT)-based augmented reality (AR) navigation system. The results showed that this CT-based navigation system enabled surgeons to place the cup more accurately than freehand placement during total hip arthroplasty (THA) in a supine position.
JOURNAL OF ORTHOPAEDIC SURGERY AND RESEARCH
(2023)
Article
Dentistry, Oral Surgery & Medicine
Bin-Zhang Wu, Fei-Fei Ma, Xiao-Yan Yan, Feng Sun
Summary: Passive and active dynamic navigation approaches can achieve comparable in vitro accuracy. Registration on one side of the missing single posterior tooth area in the mandible can complete single-tooth implantation on both sides of the posterior teeth, highlighting the promise of further clinical research focused on this topic.
CLINICAL ORAL IMPLANTS RESEARCH
(2023)
Article
Dentistry, Oral Surgery & Medicine
Jianping Chen, Xiaolei Bai, Yude Ding, Liheng Shen, Xin Sun, Ruijue Cao, Fan Yang, Linhong Wang
Summary: This study compared the accuracy of dental implant placement between a novel dental implant robotic system (THETA) and a dynamic navigation system (Yizhimei) using a vitro model experiment. The results showed that the THETA group had smaller deviations in implant platform, apex, and angulation compared to the Yizhimei group. This suggests that the THETA robotic system could be a promising tool in dental implant surgery in the future.
Article
Biochemical Research Methods
Tianxin Gao, Shuai Liu, Ancong Wang, Xiaoying Tang, Yingwei Fan
Summary: This study measured the radial elasticity of ex vivo great saphenous vein (GSV) using optical coherence elasticity (OCE). A finite element model was established to calculate the displacement field and obtain the radial mechanical characteristics. The strain field was obtained to determine the radial elastic modulus of GSVs. Results showed that the OCE method is feasible and the radial elastic modulus of GSVs ranges from 3.83 kPa to 7.74 kPa.
JOURNAL OF BIOPHOTONICS
(2023)
Review
Engineering, Biomedical
Longfei Ma, Tianqi Huang, Jie Wang, Hongen Liao
Summary: This paper reviews and analyzes the visualization, registration, and tracking techniques in augmented reality (AR) surgical navigation systems and their applications in different surgical fields. The types of AR visualization are classified into in situ and non in situ visualization, with various rendering contents. Registration methods include manual registration, point-based registration, surface registration, marker-based registration, and calibration-based registration. Tracking methods consist of self-localization, tracking with integrated cameras, external tracking, and hybrid tracking. The paper also discusses the challenges and future development trends of AR in surgical fields.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Article
Computer Science, Information Systems
Chuanhao Zhang, Emil Jovanov, Hongen Liao, Yuan-Ting Zhang, Benny Lo, Yuan Zhang, Cuntai Guan
Summary: With the development of modern cameras, physiological signals can now be obtained from portable devices like smartphones. In this paper, a framework called cocktail causal container is proposed to fuse multiple physiological representations and reconstruct the correlation between frequency and temporal information for blood pressure and blood glucose classification. The framework utilizes a token feature fusion block and a causal net to extract discriminative features and disentangle latent factors. A pair-wise temporal frequency map is also developed for extracting PPG information. Extensive comparisons using clinical data and PPG-BP benchmark show promising results with low error rate and high precision.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2023)
Review
Cell Biology
Yu Chen, Yifei Wang, Zeyu Song, Yingwei Fan, Tianxin Gao, Xiaoying Tang
Summary: Alzheimer's disease (AD) is a degenerative neurological disease in elderly individuals. Diffusion tensor imaging (DTI) is widely used to understand the central nervous system mechanism and find biomarkers for early stages of AD. Based on multilevel analysis methods of DTI, AD patients show extensive microstructural damage, structural disconnection, and topological abnormalities in specific regions. The classification accuracy of SCD and normal controls is 92.68%, while MCI, d-AD, and normal controls have a classification accuracy of over 97%. Future research directions and limitations of current DTI-based AD research are discussed.
AGEING RESEARCH REVIEWS
(2023)
Article
Engineering, Biomedical
Liutong Zhang, Guochen Ning, Lei Zhou, Hongen Liao
Summary: This paper presents a novel symmetric pyramid network for medical image inverse consistent diffeomorphic registration. It encodes multi-scale images to feature pyramids and conducts feature-level diffeomorphic registration symmetrically. The proposed method outperforms others in accurate alignment and generates deformation fields with expected properties.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
(2023)
Article
Engineering, Biomedical
Fang Chen, Haojie Han, Guochen Ning, Baojie Wen, Hongen Liao, Wentao Kong, Daoqiang Zhang
Summary: The immunohistochemical index is important for the selection of treatment strategy for breast cancer patients. This study proposes a Tri-Branch deep learning network to predict immunohistochemical HER2 using hybrid ultrasound data. The experimental results show that the Tri-Branch model has a high accuracy of 86.23% for HER2 status prediction.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2023)
Article
Engineering, Biomedical
Guochen Ning, Hanying Liang, Xinran Zhang, Hongen Liao
Summary: In this study, a decoupled control strategy for autonomous robotic vascular ultrasound imaging in an environment without external vision was proposed. The system could perform autonomous vascular imaging and achieve reproducible imaging and reconstruction of dynamic targets without relying on vision-based surface information.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2023)
Article
Engineering, Biomedical
Fang Chen, Haojie Han, Peng Wan, Hongen Liao, Chunrui Liu, Daoqiang Zhang
Summary: The study introduces Trans-CEUS model, which combines dynamic swin-transformer and multi-level feature collaborative learning for accurate segmentation of lesions with ambiguous boundary in CEUS images. A variant transformer-based global spatial-temporal fusion method is proposed to enhance the differential diagnosis of dynamic CEUS.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Wenxi Yue, Hongen Liao, Yong Xia, Vincent Lam, Jiebo Luo, Zhiyong Wang
Summary: This paper proposes a Cascade Multi-Level Transformer Network (CMTNet) for recognizing surgical phases, and introduces the Adaptive Multi-Level Context Aggregation (AMCA) modules. Through the gradual enrichment of multi-level semantics and the refinement of key context, CMTNet achieves more accurate phase prediction.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2023)
Article
Automation & Control Systems
Jie Wang, Chengquan Hu, Guochen Ning, Longfei Ma, Xinran Zhang, Hongen Liao
Summary: This article presents a novel miniature spring-based cable-driven continuum manipulator characterized by its offset neutral bending plane and simple structure. The manipulator has advantages of easy miniaturization, bending stability and uniformity, a large central channel, smaller cable tension required, and low cost. Kinematics and statics models are presented, and experimental verification is conducted to confirm the accuracy and design superiority. Teleoperation experiments of peg-transfer tasks and porcine tissue laser ablation are conducted to verify the feasibility and effectiveness of the proposed manipulator in different forms. Various design variations are showcased to enrich manipulator design and functionality.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Rui Guo, Dongyue Si, Yingwei Fan, Xiaofeng Qian, Haina Zhang, Haiyan Ding, Xiaoying Tang
Summary: This study developed and evaluated a deep neural network (DeepFittingNet) for T-1/T-2 estimation of commonly used cardiovascular MR mapping sequences. DeepFittingNet improved the robustness for inversion-recovery T-1 estimation and showed comparable performance to the curve-fitting algorithm in terms of accuracy and precision.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Computer Science, Artificial Intelligence
Hee Guan Khor, Guochen Ning, Yihua Sun, Xu Lu, Xinran Zhang, Hongen Liao
Summary: The study proposes a Multi-Task Learning framework that combines registration and segmentation tasks to enhance image realism. By fusing high-level features, the registration network focuses on deformable parts with the help of initial anatomical segmentation. The proposed methodology outperforms previous approaches in brain and uterus MRI registration tasks, achieving state-of-the-art registration quality scores with 0.8% and 0.5% increases in DSC, respectively.
MEDICAL IMAGE ANALYSIS
(2023)
Article
Biochemical Research Methods
Tianxin Gao, Shuai Liu, Xia Wang, Jingming Liu, Yue Li, Xiaoying Tang, Wei Guo, Cong Han, Yingwei Fan
Summary: An automatic classification framework based on cerebral oxygen saturation signals was proposed to distinguish patients with hemorrhagic stroke, patients with ischemic stroke, and normal subjects. Features were extracted from functional near-infrared spectroscopy signals and used to train machine learning models, achieving high accuracy in distinguishing different types of stroke and healthy individuals, which has the potential to shorten the onset-to-diagnosis time of stroke.
BIOMEDICAL OPTICS EXPRESS
(2023)
Article
Engineering, Biomedical
Shangqi Dai, Chengquan Hu, Longfei Ma, Xinran Zhang, Hui Zhang, Hongen Liao
Summary: This paper introduces a stiffness-tunable soft actuator (STSA) that combines a silicone body with a thermoplastic resin structure (TPRS). The STSA allows for variable stiffness of soft robots, increasing their potential for use in medical scenarios, such as minimally invasive surgeries. By adjusting the stiffness of the STSA, it enhances the robot's dexterity and adaptability for complex tasks in narrow and delicate spaces.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
(2023)
Review
Materials Science, Biomaterials
Jiatian Chen, Yingwei Fan, Guozhao Dong, Huaijuan Zhou, Ran Du, Xiaoying Tang, Yulong Ying, Jinhua Li
Summary: Significant progress has been made in the development of skin tissue engineering scaffolds, providing an effective therapeutic option for patients with skin lesions.
BIOMATERIALS SCIENCE
(2023)
