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5th International Seminar on Artificial Intelligence, Networking and Information technology, AINIT 2024

作者： Wang, Huilin Song, Shuang Lu, Tong Wang, Shengru Chen, Mo du, You Zhang, Jianguo Xiao, Ruoxiu School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China Visual 3D Medical Science and Technology Development Co. Ltd Beijing China Peking Union Medical College Hospital Department of Orthopedic Surgery Beijing China

ISBN: (纸本)9798350385557

Accurate estimation of Cobb angle is crucial for clinical diagnosis and treatment of spinal scoliosis. In recent years, there has been significant development in the automatic measurement of Cobb angle using deep learning methods. However, the low contrast of scoliosis X-ray images poses challenges for reliable landmark detection. In this paper, we propose a landmark dectection network of adolescent idiopathic scoliosis by integrating the image enhancement module and vertebral center guidance. In this network, we first utilize an image enhancement network to enhance the overall edge details of the image. Then, by locating the center points of the vertebrae to identify the sequence of vertebrae, it innovatively combines ResNet34 and U-Net architecture, fully integrating deep features with shallow features for landmark prediction. Additionally, we introduce a Global Spinal Loss (GS-Loss) to focus the network more on the spine-related region by considering the spatial characteristics of the spine in the image. Comparative results on the publicly available AASCE challenge dataset demonstrate the superior performance of our method in landmark detection and Cobb angle measurement on X-ray images with low contrast or blur. © 2024 IEEE.

关键词： Image enhancement

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Multi-objective constraints for path planning in screw fixation of scaphoid fractures

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Computers in Biology and Medicine 2024年 182卷 109163-109163页

作者： Xiao, Ruoxiu Qi, Siyu Ren, Huayang Lu, Tong Chen, Cheng School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China Visual 3D Medical Science and Technology Development Co. Ltd Beijing100082 China Shunde Innovation School University of Science and Technology Beijing Foshan100024 China

Purpose: Scaphoid fractures, a common type of clinical fracture, often require screw placement surgery to achieve optimal therapeutic outcomes. Path planning algorithms can avoid more risks and have vital potential for developing precise and automatic surgeries. despite the success of surgical path planning algorithms, automatic path planning for scaphoid fractures remains challenging owing to the complex bone structure and individual variations. Methods: Thus, we propose a Multi-objective constrained Path planning Algorithm (MPA) for fracture screw placement, which includes the identification of the center of the fracture surface. Further, three constraint conditions were introduced to eliminate infeasible paths, followed by adding three objectives to the remaining paths for more accurate planning. Finally, the Nondominated Sorting Genetic Algorithms (NSGA)-II algorithm was used to optimize the surgical paths. Results: We defined the vertical compression distance (VCd), a common observation index in clinics. The experiments show that the average VCd of the MPA paths is measured at 23.88 mm, outperforming the clinical planning paths by 21.71 mm. Ablation experiments demonstrated that all three objectives (distance, length, and angle) effectively optimized the path planning. Additionally, we also used finite element analysis to compare and analyze the MPA path and clinical path. The experimental results showed that the MPA path always outperformed the clinical path in terms of scaphoid strain and screw stress. Conclusion: This study presents a solution for the path planning of scaphoid fractures. Our future research will attempt to enhance the model's performance and extend its application to a broader range of fracture types. © 2024 Elsevier Ltd

关键词： Constrained optimization

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Surgical Video Phase Recognition Model Integrating Phase Localization Module and Temporal Context Method

Surgical Video Phase Recognition Model Integrating Phase Loc...

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Sensors and Information technology (ICSI), International Conference on

作者： YiWen Xia Shuang Song Yong Yang Tong Lu Ruoxiu Xiao School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China Changzhou Visual Star MedTech Co. Ltd Changzhou China Visual 3D Medical Science and Technology Development Co. Ltd Beijing China

ISBN: (数字)9798331542887

ISBN: (纸本)9798331542894

Surgical phase recognition plays a crucial role in computer - assisted surgery systems. Its main purpose is to identify which stage of the surgery the video frames represent. In recent years, remarkable progress has been made in identifying surgical phases using deep - learning methods. However, existing methods mainly focus on improving the accuracy and precision of phase recognition, often neglecting the semantic consistency and temporal continuity of video frames within a phase. This easily leads to prediction errors for blurred and similar frames within a phase, posing challenges to reliable phase recognition. To overcome this problem, we propose a novel method for surgical video phase recognition and construct a temporal model combined with surgical phase localization. By predicting the start and end time points of surgical phases, the model improves the prediction consistency within surgical phases. The model consists of a two - stage training process. In the first stage, the spatial features of the video frame sequence are extracted. In the second stage, a temporal network is first used to perform frame-by-frame surgical phase prediction and surgical phase localization respectively. Finally, the prediction results of frame-by-frame surgical phases and the results of phase localization are fused to generate the final prediction information. This method effectively addresses the problem of intra - segment inconsistency in prediction results and significantly improves the accuracy and reliability of surgical phase recognition.

关键词： Location awareness Training Accuracy Computational modeling Surgery Predictive models Sensor fusion Feature extraction Sensors Reliability

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Landmark detection Network of Adolescent Idiopathic Scoliosis by Integrating the Image Enhancement Module and Vertebral Center Guidance

Landmark Detection Network of Adolescent Idiopathic Scoliosi...

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Artificial Intelligence, Networking and Information technology (AINIT), International Seminar on

作者： Huilin Wang Shuang Song Tong Lu Shengru Wang Mo Chen You du Jianguo Zhang Ruoxiu Xiao School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China Visual 3D Medical Science and Technology Development Co. Ltd Beijing China Department of Orthopedic Surgery Peking Union Medical College Hospital Beijing China

ISBN: (数字)9798350385557

ISBN: (纸本)9798350385564

关键词： Seminars Accuracy Image edge detection Scoliosis Predictive models Robustness medical diagnosis

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Coronary Artery Segmentation from X-ray Angiographic Images using Width-aware U-Net 2

Coronary Artery Segmentation from X-ray Angiographic Images ...

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2nd International Conference on Computer Graphics, Image and Virtualization, ICCGIV 2022

作者： Song, Shuang Xiao, Ruoxiu Lu, Tong Zhu, Hang Beihang University School of Computer Science and Engineering Beijing China University of Science and Technology Beijing School of Computer and Communication Engineering Beijing China Visual 3D Medical Science and Technology Development Co. Ltd Beijing China The Sixty Medical Center of People's Liberation Army General Hospital Senior Department of Cardiology Beijing China

ISBN: (纸本)9781665492508

X-ray angiographic images are regarded as the gold standard in the intra-operation of vascular diseases due to their high imaging quality and speed. However, due to many vascular- similar structures existing in the images, the accurate segmentation of the coronary artery is challenging. In this paper, we proposed a width-aware U-Net model by supervising the segmentation procedure using the label mask and centerline- derived width map. In our model, the centerlines of label masks are extracted and width maps are then computed. Together with the label mask, the width maps are then utilized to supervise the segmentation network. By comparing the proposed network with other state-of-the-art models, we can achieve superior results in discarding non-vascular artefacts and preserving the integrity of the whole vascular tree. © 2022 IEEE.

关键词： Image segmentation

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A world's first attempt of mixed-reality system guided inferior vena cava filter implantation under remote guidance of 5G communication

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Journal of Geriatric Cardiology 2021年第3期18卷 233-237页

作者： Hang ZHU Yao LI Guang GONG Mao-Xiang ZHAO Lin LIU Si-Yu YAO Chi WANG Xin LI Yun-dai CHEN Department of Cardiology Chinese PLA General HospitalBeijingChina Medical School of Chinese PLA Chinese PLA General HospitalBeijingChina Department of Vascular Surgery The No.2 People’s Hospital of YibinSichuanChina Beijing Visual 3D Medical Science and Technology Development CO.LLCBeijingChina

deep vein thrombosis(dVT)is a manifestation of venous thromboembolism,which can result from long-term bed and lead to pulmonary embolism(PE),stroke,mesenteric artery embolis,*** after surgery without bed-off activity may prone to thrombosis,but traditional anticoagulant therapy is a contraindication for them because of high risk of postoperative *** vena cava filter(IVCF)implantation is the most effective method to intercept thrombosis from lower limb and to prevent ***,radiation and contrast agent limit its *** team have successfully performed an IVCF implantation guided by a mixed-reality(MR)system,[1]which is a chance for critically ill patients to allow the IVCF implantation exposed under no Xray and require no contrast agent.5G can help remote holographic projection images between distant range,meeting the needs of experts to guide the operation of critically ill *** describe a case of weak woman after neurosurgery who can not tolerate traditional interventional surgery to prevent dVT from falling *** performed a mixed-reality system guided IVCF implantation under remote guidance of 5G communication.

关键词： implantation mixed system

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Ear: Edge-Aware Reconstruction of 3-d Vertebrae Structures from Bi-Planar X-Ray Images

SSRN

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SSRN 2024年

作者： Tan, Lixing Song, Shuang He, Yaofeng Zhou, Kangneng Lu, Tong Xiao, Ruoxiu School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China College of Computer Science Nankai University Tianjin300000 China Shunde Innovation School University of Science and Technology Foshan Beijing100024 China Visual 3-D Medical Science and Technology Development Co. Ltd Beijing100070 China

Background and Objective: X-ray images ease the diagnosis and treatment process due to their rapid imaging speed and high resolution. However, due to the projection process of X-ray imaging, much spatial information has been lost. To accurately provide efficient spinal morphological and structural information, reconstructing the 3-d structures of the spine from the 2-d X-ray images is essential. It is challenging for current reconstruction methods to preserve the edge information and local shapes of the asymmetrical vertebrae ***: In this study, we propose a new Edge-Aware Reconstruction network (EAR) to focus on the performance improvement of the edge information and vertebrae shapes. In our network, by using the auto-encoder architecture as the backbone, the edge attention module and frequency enhancement module are proposed to strengthen the perception of the edge reconstruction. Meanwhile, we also combine four loss terms, including reconstruction loss, edge loss, frequency loss and projection ***: The proposed method is evaluated using three publicly accessible datasets and compared with four state-of-the-art models. The proposed method is superior to other methods and achieves 25.32%, 15.32%, 86.44%, 80.13%, 23.7612 and 0.3014 with regard to MSE, MAE, dice, SSIM, PSNR andfrequency ***: due to the end-to-end and accurate reconstruction process, EAR can provide sufficient 3-d spatial information and precise preoperative surgical planning guidance. © 2024, The Authors. All rights reserved.

关键词： Musculoskeletal system

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EAR: Edge-Aware Reconstruction of 3-d vertebrae structures from bi-planar X-ray images

arXiv

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arXiv 2024年

X-ray images ease the diagnosis and treatment process due to their rapid imaging speed and high resolution. However, due to the projection process of X-ray imaging, much spatial information has been lost. To accurately provide efficient spinal morphological and structural information, reconstructing the 3-d structures of the spine from the 2-d X-ray images is essential. It is challenging for current reconstruction methods to preserve the edge information and local shapes of the asymmetrical vertebrae structures. In this study, we propose a new Edge-Aware Reconstruction network (EAR) to focus on the performance improvement of the edge information and vertebrae shapes. In our network, by using the auto-encoder architecture as the backbone, the edge attention module and frequency enhancement module are proposed to strengthen the perception of the edge reconstruction. Meanwhile, we also combine four loss terms, including reconstruction loss, edge loss, frequency loss and projection loss. The proposed method is evaluated using three publicly accessible datasets and compared with four state-of-the-art models. The proposed method is superior to other methods and achieves 25.32%, 15.32%, 86.44%, 80.13%, 23.7612 and 0.3014 with regard to MSE, MAE, dice, SSIM, PSNR and frequency distance. due to the end-to-end and accurate reconstruction process, EAR can provide sufficient 3-d spatial information and precise preoperative surgical planning guidance. Copyright © 2024, The Authors. All rights reserved.

关键词： Image reconstruction

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designed fabrication of active tumor targeting covalent organic framework nanotherapeutics via a simple post-synthetic strategy

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Nano Research 2023年第5期16卷 7085-7094页

作者： Yue Yu Guoxin Zhang Zhongping Li Jia Wang Yang Liu Rahul Bhardwaj Renu Wadhwa Yuki Nagao Mototada Shichiri Ran Gao Biomedical Research Institute National Institute of Advanced Industrial Science and Technology(AIST)Osaka 563-8577Japan AIST-INDIA DAILAB DBT-AIST International Center for Translational&Environmental Research(DAICENTER)AISTTsukubaIbaraki 305-8565Japan Beijing Engineering Research Center for Experimental Animal Models of Human Critical Diseases NHC Key Laboratory of Human Disease Comparative MedicineNational Human Diseases Animal Model Resource CenterInstitute of Laboratory Animal ScienceChinese Academy of Medical Sciences(CAMS)&Peking Union Medical CollageBeijing 100021China School of Materials Science Japan Advanced Institute of Science and TechnologyIshikawa 923-1211Japan Department of Chemical and Biomolecular Engineering Yonsei University50 Yonsei-roSeodaemun-guSeoul 120-749Republic of Korea Flexible 3D System Integration Laboratory SANKENOsaka UniversityOsaka 567-0047Japan

developing agents that can accurately differentiate tumors from normal healthy tissues is of utmost importance for safe cancer *** targeting has been considered as an effective technique for tumor *** this work,we demonstrate a folate-functionalized nanoscale covalent organic framework(FATd nCOF)highly specific to cancer cells through active targeting of their enriched folate receptors(FRs).The FATd nCOF prepared by simple post-synthetic modification of the COF surface defeats disperses well in water and exhibits a high loading capacity for various anticancer *** biocompatible FATd nCOF is selectively internalized by FR-harboring cancer cells and consequently augments the efficacy of the loaded drug,Withaferin A(Wi-A),for targeted cancer cell *** biomolecular mechanism studies,Wi-A-loaded FATd(FATd@Wi-A)nanocomposites show remarkably a higher rate of apoptosis in FR-enriched cancer *** analyses of FR-positive and FR-negative tumor xenografts reveal enhanced selective antitumor activity of FATd@Wi-A *** together,the study findings suggest that FATd nCOF holds great promise for active targeting of tumors in *** simple yet effective technology might be valuable for creating new state-of-the-art COFs for chemical and biomedical applications.

关键词： covalent organic framework active targeting folate receptor drug delivery cancer therapy

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Coronary Artery Segmentation from X-ray Angiographic Images using Width-aware U-Net

Coronary Artery Segmentation from X-ray Angiographic Images ...

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Computer Graphics, Image and Virtualization (ICCGIV), International Conference on

作者： Shuang Song Ruoxiu Xiao Tong Lu Hang Zhu School of Computer Science and Engineering Beihang University Beijing China School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China Visual 3D Medical Science and Technology Development Co. Ltd Beijing China Senior Department of Cardiology The Sixty Medical Center of People’s Liberation Army General Hospital Beijing China

关键词： Image segmentation Navigation Motion segmentation Computational modeling Surgery Lung Lighting

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