Biomedizinische Technik. Biomedical engineering最新文献

{"title":"A novel MOSnet model for multi-object segmentation of medical images in micro-computed tomography.","authors":"Kunpeng Wang, Chunxiao Chen, Yueyue Xiao, Ruoyu Meng, Liang Wang","doi":"10.1515/bmt-2024-0451","DOIUrl":"https://doi.org/10.1515/bmt-2024-0451","url":null,"abstract":"<p><strong>Objectives: </strong>Micro-computed tomography (Micro-CT) is renowned for its high resolution, holding a pivotal role in advancing medical science research. However, compared to CT medical imaging datasets, there are fewer publicly available Micro-CT datasets, especially those annotated for multiple objects, leading to segmentation models with limited generalization abilities.</p><p><strong>Methods: </strong>In order to improve the accuracy of multi-organ segmentation in Micro-CT, we developed a novel segmentation model called MOSnet which can utilize annotations from different datasets to enhance the whole segmentation performance. The proposed MOSnet includes a control module coupled with a reconstruction block that forms a multi-task structure, effectively addressing the absence of complete annotations.</p><p><strong>Results: </strong>Experiments on 85 contrast-enhanced micro-CTscans and 140 native micro-CTscans for mice demonstrate that MOSnet is superior to the most of advanced segmentation networks. Compared to the best results of ResUnet, Unet3+, DAVnet3+ and AIMOS, our method improved dice similarity coefficient by 4.1 and 2.4 %, increased jaccard similarity coefficient by 4.1 and 3.1 %, and reduced HD95 by 16.3 and 19.3 % on the two datasets respectively at least.</p><p><strong>Conclusions: </strong>Our proposed model proves to be a robust and effective method for multi-organ segmentation in micro-CT, especially in situations where comprehensive annotations are lacking within a dataset.</p>","PeriodicalId":93905,"journal":{"name":"Biomedizinische Technik. Biomedical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145234351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research progress and future prospects in intelligent lung sound diagnosis: models, lightweight design, and hardware platform implementation.","authors":"Xudong Lu, Jiehong Fang, Wan'ang Xiao, Jingzhu Wu","doi":"10.1515/bmt-2025-0197","DOIUrl":"https://doi.org/10.1515/bmt-2025-0197","url":null,"abstract":"<p><p>Lung sounds, as an important physiological signal of human body, play a crucial role in the diagnosis and monitoring of respiratory diseases. In recent years, deep learning-based lung sound intelligent recognition technology has made significant progress in the field of medical auxiliary diagnosis, particularly with the deployment of deep learning models on edge devices to achieve local inference and low-latency diagnosis. This has become a key direction in the development of lung sound recognition systems. This paper systematically reviews the fundamental processes of lung sound recognition and analysis, focusing on the construction of lung sound classification models, model lightweight design, and the latest research progress in deploying these models on embedded systems, FPGA, and other hardware platforms. Additionally, the paper looks forward to the application prospects and development trends of this technology in the field of intelligent lung sound recognition. In particular, deployment pathways grounded in hardware-software co-design on embedded and edge platforms are poised to further advance health monitoring systems. This paper provides a comprehensive reference for understanding the key aspects of lung sound recognition technology, from algorithm research to hardware implementation.</p>","PeriodicalId":93905,"journal":{"name":"Biomedizinische Technik. Biomedical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145088559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of orthodontic aligner biocompatibility: leachable compounds of different aligner materials.","authors":"Thomas Wendl, Erich Leitner, Brigitte Wendl, Peter Proff","doi":"10.1515/bmt-2025-0131","DOIUrl":"https://doi.org/10.1515/bmt-2025-0131","url":null,"abstract":"<p><strong>Objectives: </strong>the aim of this study was to clarify the biocompatibility of different tooth repositioning splints (aligners). This included the characterization of the volatile fraction by headspace solid phase microextraction coupled to gas chromatography mass spectrometry, simulation of leachable organic compounds using artificial saliva and the quantitation of bisphenol A and bisphenol S after extraction.</p><p><strong>Methods: </strong>Four different aligners were characterized in this study, these included two splints with novel shape memory properties: a printable aligner made of the resin Tera Harz TC-85 DAC (Graphy Inc., South Korea) and a self-manufactured SMP-Aligner consisting of the components polypropylene carbonate and thermoplastic polyurethane. The other two aligners were conventional, thermoformable aligners: CA® Pro Clear Aligner (Scheu Dental GmbH, Germany) and Erkodur-al (Erkodent Erich Kopp GmbH, Germany).</p><p><strong>Results: </strong>no BPA was found in all four samples after 72 h. BPS was found in one Aligner. The most leachable compounds were found in the samples of the SMP- and the direct printed Graphy-Aligner. Most of the compound release occurred during the first 24 h.</p><p><strong>Conclusions: </strong>the cumulative exposure effect from aligner wear should be carefully considered, although the current research indicates that the levels of leachable compounds are generally low.</p>","PeriodicalId":93905,"journal":{"name":"Biomedizinische Technik. Biomedical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145088445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automated lesion detection in endoscopic imagery for small animal models - a pilot study.","authors":"Thomas Eixelberger, Ralf Hackner, Qi Fang, Bisan Abdalfatah Zohud, Michael Stürzl, Elisabeth Naschberger, Thomas Wittenberg","doi":"10.1515/bmt-2025-0179","DOIUrl":"https://doi.org/10.1515/bmt-2025-0179","url":null,"abstract":"<p><strong>Objectives: </strong>Small animal models, particularly mice, are crucial for studying gastrointestinal diseases like colorectal cancer. Tumor assessment via colonoscopy generates large video datasets, necessitating automated analysis due to limited resources and time-consuming manual review.</p><p><strong>Methods: </strong>We employed a YOLOv7-based deep learning model pre-trained on human polyp images to detect tumors in mouse colonoscopy videos. Detection was enhanced using a stool detector and a color-based filter. Lesions were classified from '0' (no tumor) to '5' (tumor >50 % of colon diameter) using a custom ratio-based method. The system was evaluated on 150 videos from 28 mice over 6 weeks, with 125 videos containing tumors.</p><p><strong>Results: </strong>Initial detection yielded a Precision of 0.576, Recall of 0.916, and Accuracy of 0.593. Adding the stool detector improved results to 0.932, 0.946, and 0.897, respectively. Compared to expert annotations, classification reached 0.759 Precision, 0.774 Recall, and 0.774 Accuracy over all five classes.</p><p><strong>Conclusions: </strong>The proposed approach reliably detects and classifies colon tumors in mice, offering real-time support for preclinical endoscopic studies. Further evaluation will provide more insights into its performance.</p>","PeriodicalId":93905,"journal":{"name":"Biomedizinische Technik. Biomedical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145076931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimized design of porous dental implant structures based on triply periodic minimal surface (TPMS).","authors":"Songqing Chen, Xiaoying Liu, Chenjian Liao, Xiangzhen Chen, Huicai Lai, Jiancheng Lv","doi":"10.1515/bmt-2025-0159","DOIUrl":"10.1515/bmt-2025-0159","url":null,"abstract":"<p><strong>Objectives: </strong>This study aims to optimize the design of porous dental implants using triply periodic minimal surfaces (TPMS) to address stress shielding caused by elastic modulus mismatch between titanium implants and bone tissue, while enhancing osseointegration through controlled porosity.</p><p><strong>Methods: </strong>Two TPMS architectures (D-type and G-type) were modeled via MathMod and Rhino software, with porosity controlled by parameter t. Finite element analysis (FEA) evaluated mechanical properties under porosities of 40 %, 60 %, and 80 %, and stress distribution in a patient-specific mandibular model under 200 N masticatory load.</p><p><strong>Results: </strong>Both D- and G-type structures met mechanical requirements at ≤60 % porosity. The D-type exhibited optimal stress transfer at 60 % porosity, whereas G-type at 80 % porosity exceeded yield strength due to thin walls. Porous designs reduced cortical-cancellous bone stress differences by 30-50 %, mitigating stress shielding. The interconnected network facilitated bone ingrowth.</p><p><strong>Conclusions: </strong>TPMS-based porous implants with 40-60 % porosity balance mechanical strength and stress distribution, offering personalized solutions for bone quality adaptation. Future work should validate long-term stability through <i>in vitro</i> experiments.</p>","PeriodicalId":93905,"journal":{"name":"Biomedizinische Technik. Biomedical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144884452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smartphone-based intelligent system with a wearable throat microphone for real-time screening of swallowing ability.","authors":"Ye Li, Yacen Wu, Qiang Tang, Haijun Lin, Juanjuan Fu, Yuxiang Yang, Fu Zhang","doi":"10.1515/bmt-2025-0028","DOIUrl":"https://doi.org/10.1515/bmt-2025-0028","url":null,"abstract":"<p><strong>Objectives: </strong>Accurate and timely swallowing ability screening is essential for effective prevention and treatment of dysphagia. Current clinical imaging methods are often radioactive or invasive, limiting their applicability for routine monitoring. This study aims to develop a smartphone-based intelligent system for real-time screening of swallowing ability using a wearable throat microphone.</p><p><strong>Methods: </strong>First, a customized Android application was developed to collect, visualize, and analyze sounds related to swallowing from a wearable throat microphone. Second, a transfer learning model, YAMNet-S, was trained on 4,715 one-second audio segments of coughing, swallowing, and other noises, obtained from 215 healthy participants (Experiment 1). The trained model was then deployed on a smartphone to classify swallowing-related events in real time. Finally, the water swallow test (WST) was conducted by counting swallowing and coughing events within 30 s from 15 simulated patients with self-induced voluntary coughs for clinical validation (Experiment 2).</p><p><strong>Results: </strong>The mean accuracy of the trained model in swallowing and coughing events classification is 94.48 and 94.45 %, respectively, and the difference of WST scores in system calculations and expert evaluation was 0.267 (out of 5).</p><p><strong>Conclusions: </strong>This smartphone-based intelligent system has the potential to be a comfort, portability and user-friendliness tool for preliminary screening of dysphagia before VFSS/FEES, especially on some situations with limited medical resources, such as community or home-based care.</p>","PeriodicalId":93905,"journal":{"name":"Biomedizinische Technik. Biomedical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144628073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The investigation on EEG characteristic parameters change when executing cognitive ability tasks under centrifuge G acceleration.","authors":"Yifeng Li, Zhao Jin, Baohui Li, Xiaoyang Wei, Lihui Zhang","doi":"10.1515/bmt-2025-0082","DOIUrl":"https://doi.org/10.1515/bmt-2025-0082","url":null,"abstract":"<p><strong>Objectives: </strong>Flight cognitive ability is the core element of guaranteeing flight safety. This study attempts to explore the basic cognitive operation ability of pilots under overload environment, and provides reference for the research on the index screening and monitoring technology methods cognitive operation ability under centrifuge overload condition.</p><p><strong>Methods: </strong>A specific cognitive operation ability task is designed, physiological signals such as electroencephalography (EEG) when performing cognitive ability tasks under human centrifuge overload condition are obtained, and the characteristic parameters changes are studied.</p><p><strong>Results: </strong>When performing cognitive tasks, both the beta waves and the Theta/Beta Ratio (TBR) parameters in EEG show certain specific changes after the task starts and in the later stage the task.</p><p><strong>Conclusions: </strong>Beta wave energy ratio and TBR parameter can better reflect the changes of pilot's cognition under overload environment, and the joint research of multiple frequency bands and multiple parameters helps to find the parameters and indicators with the potential to become the physiological monitoring index of pilot's cognitive operation capacity under overload condition more quickly and better. This study lays a foundation and provides a reference for the follow-up selection of physiological monitoring index of a pilot's cognitive operation ability and the research of monitoring technology on cognitive operation ability under overload condition.</p>","PeriodicalId":93905,"journal":{"name":"Biomedizinische Technik. Biomedical engineering","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144628074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Wear investigation of implant-supported upper removable prothesis with electroplated gold or PEKK secondary crowns.","authors":"Annika Holtz, Manfred Grüner, Ludger Keilig, Christoph Bourauel, Helmut Stark, Istabrak Dörsam","doi":"10.1515/bmt-2024-0038","DOIUrl":"10.1515/bmt-2024-0038","url":null,"abstract":"<p><strong>Objectives: </strong>The aim of the present study was to investigate, whether polyetherketoneketone (PEKK) secondary crowns could be considered as alternative to gold standard in terms of their physical properties and manufacturing costs.</p><p><strong>Methods: </strong>An upper jaw model with six implants was used. Frameworks with either 6 PEKK- or 6 electroplated secondary crowns were cemented in a wear simulator. A total of 20 specimens (10 PEKK, 10 gold) run 10,000 cycles in the wear simulator with a lubricant. Additionally, 10,000 cycles in the thermocycling baths with 5 °C and 55 °C have gone through, before running extra 10,000 cycles in the wear simulator again. Finally, the abutments were analysed for signs of wear under the electron microscope.</p><p><strong>Results: </strong>The mean pulling out force value for PEKK was 21 N. For the electroplated gold secondary crowns an average of 19 N was measured. Multiple fluctuations were observed in the gold series of tests. After 20,000 cycles in the wear simulator and 10,000 cycles in the thermocycling machine, there were no major losses to be measured in terms of wear for both materials. In the microscopic analysis of the abutments, traces of wear could be seen in pull-out direction, mainly in the gold samples.</p><p><strong>Conclusions: </strong>PEKK secondary crowns have lower costs, more stable retention force values and are easier to produce than the gold standard. On average, the pull-out force values were 11 N higher than recommended.</p>","PeriodicalId":93905,"journal":{"name":"Biomedizinische Technik. Biomedical engineering","volume":" ","pages":"115-123"},"PeriodicalIF":0.0,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143018267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integration of neuromuscular control for multidirectional horizontal planar reaching movements in a portable upper limb exoskeleton for enhanced stroke rehabilitation.","authors":"Yongkun Zhao, Juzheng Mao, Mingquan Zhang, Haijun Wu, Jiatong Jiang, Shibo Jing","doi":"10.1515/bmt-2023-0622","DOIUrl":"10.1515/bmt-2023-0622","url":null,"abstract":"<p><p>Globally, the prevalence of stroke is significant and increasing annually. This growth has led to a demand for rehabilitation services that far exceeds the supply, leaving many stroke survivors without adequate rehabilitative care. In response to this challenge, this study introduces a portable exoskeleton system that integrates neural control mechanisms governing human arm movements. This design leverages neuroplasticity principles to simulate natural movements, aiming to reactivate and strengthen neuromuscular connections and thus enhance rehabilitation outcomes. A tailored musculoskeletal model of the human arm and an associated cost function were developed to accurately replicate the planar motion trajectories of a healthy human arm across 32 directions. The application of a Proportional-Derivative (PD) controller enables precise tracking of these trajectories by the exoskeleton. Individual testing has demonstrated high consistency between the exoskeleton-driven motion paths and the simulated trajectories, especially in trajectory accuracy along the X and Y axes. These findings support the efficacy of integrating advanced neural control strategies with practical exoskeleton designs in stroke rehabilitation.</p>","PeriodicalId":93905,"journal":{"name":"Biomedizinische Technik. Biomedical engineering","volume":" ","pages":"135-146"},"PeriodicalIF":0.0,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143018265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"<i>MedShapeNet</i> - a large-scale dataset of 3D medical shapes for computer vision.","authors":"Jianning Li, Zongwei Zhou, Jiancheng Yang, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Chongyu Qu, Tiezheng Zhang, Xiaoxi Chen, Wenxuan Li, Marek Wodzinski, Paul Friedrich, Kangxian Xie, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Viet Duc Vu, Afaque R Memon, Christopher Schlachta, Sandrine De Ribaupierre, Rajnikant Patel, Roy Eagleson, Xiaojun Chen, Heinrich Mächler, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferdinand Christ, Hongwei Bran Li, David G Ellis, Michele R Aizenberg, Sergios Gatidis, Thomas Küstner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian T Löffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Arcot Sowmya, Eduardo A Garza-Villarreal, Thania Balducci, Diego Angeles-Valdez, Roberto Souza, Leticia Rittner, Richard Frayne, Yuanfeng Ji, Vincenzo Ferrari, Soumick Chatterjee, Florian Dubost, Stefanie Schreiber, Hendrik Mattern, Oliver Speck, Daniel Haehn, Christoph John, Andreas Nürnberger, João Pedrosa, Carlos Ferreira, Guilherme Aresta, António Cunha, Aurélio Campilho, Yannick Suter, Jose Garcia, Alain Lalande, Vicky Vandenbossche, Aline Van Oevelen, Kate Duquesne, Hamza Mekhzoum, Jef Vandemeulebroucke, Emmanuel Audenaert, Claudia Krebs, Timo van Leeuwen, Evie Vereecke, Hauke Heidemeyer, Rainer Röhrig, Frank Hölzle, Vahid Badeli, Kathrin Krieger, Matthias Gunzer, Jianxu Chen, Timo van Meegdenburg, Amin Dada, Miriam Balzer, Jana Fragemann, Frederic Jonske, Moritz Rempe, Stanislav Malorodov, Fin H Bahnsen, Constantin Seibold, Alexander Jaus, Zdravko Marinov, Paul F Jaeger, Rainer Stiefelhagen, Ana Sofia Santos, Mariana Lindo, André Ferreira, Victor Alves, Michael Kamp, Amr Abourayya, Felix Nensa, Fabian Hörst, Alexander Brehmer, Lukas Heine, Yannik Hanusrichter, Martin Weßling, Marcel Dudda, Lars E Podleska, Matthias A Fink, Julius Keyl, Konstantinos Tserpes, Moon-Sung Kim, Shireen Elhabian, Hans Lamecker, Dženan Zukić, Beatriz Paniagua, Christian Wachinger, Martin Urschler, Luc Duong, Jakob Wasserthal, Peter F Hoyer, Oliver Basu, Thomas Maal, Max J H Witjes, Gregor Schiele, Ti-Chiun Chang, Seyed-Ahmad Ahmadi, Ping Luo, Bjoern Menze, Mauricio Reyes, Thomas M Deserno, Christos Davatzikos, Behrus Puladi, Pascal Fua, Alan L Yuille, Jens Kleesiek, Jan Egger","doi":"10.1515/bmt-2024-0396","DOIUrl":"10.1515/bmt-2024-0396","url":null,"abstract":"<p><strong>Objectives: </strong>The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from the growing popularity of ShapeNet (51,300 models) and Princeton ModelNet (127,915 models). However, a large collection of anatomical shapes (e.g., bones, organs, vessels) and 3D models of surgical instruments is missing.</p><p><strong>Methods: </strong>We present MedShapeNet to translate data-driven vision algorithms to medical applications and to adapt state-of-the-art vision algorithms to medical problems. As a unique feature, we directly model the majority of shapes on the imaging data of real patients. We present use cases in classifying brain tumors, skull reconstructions, multi-class anatomy completion, education, and 3D printing.</p><p><strong>Results: </strong>By now, MedShapeNet includes 23 datasets with more than 100,000 shapes that are paired with annotations (ground truth). Our data is freely accessible via a web interface and a Python application programming interface and can be used for discriminative, reconstructive, and variational benchmarks as well as various applications in virtual, augmented, or mixed reality, and 3D printing.</p><p><strong>Conclusions: </strong>MedShapeNet contains medical shapes from anatomy and surgical instruments and will continue to collect data for benchmarks and applications. The project page is: https://medshapenet.ikim.nrw/.</p>","PeriodicalId":93905,"journal":{"name":"Biomedizinische Technik. Biomedical engineering","volume":" ","pages":"71-90"},"PeriodicalIF":0.0,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142904375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}