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\n  \n 2025\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n A Review of Needle Navigation Technologies in Minimally Invasive Cardiovascular Surgeries—Toward a More Effective and Easy-to-Apply Process.\n \n \n \n \n\n\n \n Steeg, K.; Krombach, G. A.; and Friebe, M. H.\n\n\n \n\n\n\n Diagnostics, 15(2). 2025.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@Article{diagnostics15020197,\r\nAUTHOR = {Steeg, Katharina and Krombach, Gabriele Anja and Friebe, Michael Horst},\r\nTITLE = {A Review of Needle Navigation Technologies in Minimally Invasive Cardiovascular Surgeries—Toward a More Effective and Easy-to-Apply Process},\r\nJOURNAL = {Diagnostics},\r\nVOLUME = {15},\r\nYEAR = {2025},\r\nNUMBER = {2},\r\nARTICLE-NUMBER = {197},\r\nURL = {https://www.mdpi.com/2075-4418/15/2/197},\r\nISSN = {2075-4418},\r\nDOI = {10.3390/diagnostics15020197}\r\n}\r\n
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\n  \n 2024\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n Sparking Technological Innovation Through CASS Educational Entrepreneurship Initiative [Innovations Corner].\n \n \n \n\n\n \n Friebe, M.; Chen, J.; and Rokhani, F. Z.\n\n\n \n\n\n\n IEEE Circuits and Systems Magazine, 24(3): 34-36. thirdquarter 2024.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@ARTICLE{10639273,\r\n  author={Friebe, Michael and Chen, Jie and Rokhani, Fakhrul Zaman},\r\n  journal={IEEE Circuits and Systems Magazine}, \r\n  title={Sparking Technological Innovation Through CASS Educational Entrepreneurship Initiative [Innovations Corner]}, \r\n  year={2024},\r\n  volume={24},\r\n  number={3},\r\n  pages={34-36},\r\n  abstract={Recognizing the increasing relevance of entrepreneurship skillsets to engineers, CASS launched an initiative to educate on entrepreneurship with technology solutions aligned with CAS Society’s visions. In this special issue, this article introduces the motivation, course setup, and the results of an intensive six-week hybrid course stimulating entrepreneurial thinking. The course was based on a novel iterative and agile innovation framework designed to lead up to the BIOCASS 2023 conference in Toronto, inviting the best proposals for an in-person presentation. The learners confirmed a changed mindset towards innovation generation.},\r\n  keywords={Circuits and systems;Entrepreneurship;Technological innovation;Educational courses;Education;Biomedical engineering;Biomedical imaging;Stakeholders;Clinical diagnosis;Business;Medical services;Learning systems},\r\n  doi={10.1109/MCAS.2024.3358279},\r\n  ISSN={1558-0830},\r\n  month={thirdquarter},}\r\n\r\n\r\n\r\n
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\n Recognizing the increasing relevance of entrepreneurship skillsets to engineers, CASS launched an initiative to educate on entrepreneurship with technology solutions aligned with CAS Society’s visions. In this special issue, this article introduces the motivation, course setup, and the results of an intensive six-week hybrid course stimulating entrepreneurial thinking. The course was based on a novel iterative and agile innovation framework designed to lead up to the BIOCASS 2023 conference in Toronto, inviting the best proposals for an in-person presentation. The learners confirmed a changed mindset towards innovation generation.\n
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\n \n\n \n \n \n \n \n Toward autonomous robotic-assisted interventions: the value of proximally placed audio-sensors for surface and event characterization.\n \n \n \n\n\n \n Friebe, M.\n\n\n \n\n\n\n 04 2024.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@unknown{unknown,\r\nauthor = {Friebe, Michael},\r\nyear = {2024},\r\nmonth = {04},\r\npages = {},\r\ntitle = {Toward autonomous robotic-assisted interventions: the value of proximally placed audio-sensors for surface and event characterization},\r\ndoi = {10.36227/techrxiv.171440809.90357404/v1}\r\n}\r\n\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n \n [Commentary] Healthspan Horizon — Pioneering Preventive Care as the New Standard of Healthcare.\n \n \n \n \n\n\n \n Mittler-Matica, R.; and Friebe, M.\n\n\n \n\n\n\n Qeios. April 17 2024.\n \n\n\n\n
\n\n\n\n \n \n \"[Commentary]Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{Mittler-Matica2024,\r\n  author    = {Roxana Mittler-Matica and Michael Friebe},\r\n  title     = {[Commentary] Healthspan Horizon — Pioneering Preventive Care as the New Standard of Healthcare},\r\n  journal   = {Qeios},\r\n  year      = {2024},\r\n  month     = {April 17},\r\n  issn      = {2632-3834},\r\n  doi       = {10.32388/6ADY2Z},\r\n  url       = {https://doi.org/10.32388/6ADY2Z}\r\n}\r\n\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Biomedical and Healthtech Innovation: The Dilemma Between Purpose, Current Stakeholder Economics, and \"Patient\" Benefits/Desires — What Might the Future of Health Look Like?.\n \n \n \n\n\n \n Friebe, M.; and Haider, S.\n\n\n \n\n\n\n 03 2024.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@unknown{unknown,\r\nauthor = {Friebe, Michael and Haider, Sultan},\r\nyear = {2024},\r\nmonth = {03},\r\npages = {},\r\ntitle = {Biomedical and Healthtech Innovation: The Dilemma Between Purpose, Current Stakeholder Economics, and "Patient" Benefits/Desires — What Might the Future of Health Look Like?},\r\ndoi = {10.32388/8D33M5}\r\n}\r\n\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n \n The underuse of AI in the health sector: Opportunity costs, success stories, risks and recommendations.\n \n \n \n \n\n\n \n Pagallo, U.; O'Sullivan, S.; Nevejans, N.; Holzinger, A.; Friebe, M.; Jeanquartier, F.; Jean-Quartier, C.; and Miernik, A.\n\n\n \n\n\n\n Health and Technology, 14(1): 1–14. 2024.\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{Pagallo2024,\r\n  author    = {Pagallo, Ugo and O'Sullivan, Shane and Nevejans, Nathalie and Holzinger, Andreas and Friebe, Michael and Jeanquartier, Fleur and Jean-Quartier, Claire and Miernik, Arkadiusz},\r\n  title     = {The underuse of AI in the health sector: Opportunity costs, success stories, risks and recommendations},\r\n  journal   = {Health and Technology},\r\n  year      = {2024},\r\n  volume    = {14},\r\n  number    = {1},\r\n  pages     = {1--14},\r\n  doi       = {10.1007/s12553-023-00806-7},\r\n  url       = {https://doi.org/10.1007/s12553-023-00806-7},\r\n  issn      = {2190-7196}\r\n}\r\n\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Enhancing Veress Needle Entry with Proximal Vibroacoustic Sensing for Automatic Identification of Peritoneum Puncture.\n \n \n \n\n\n \n Spiller, M.; Esmaeili, N.; Sühn, T.; Boese, A.; Turial, S.; Gumbs, A. A; Croner, R.; Friebe, M.; and Illanes, A.\n\n\n \n\n\n\n Diagnostics (Basel), 14(15): 1698. August 2024.\n M.S., N.E., T.S., A.B., M.F., and A.I. are shareholders of SURAG Medical GmbH, a medical technology startup that is developing a medical device based on proximal vibroacoustic sensing. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.\n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{Spiller2024,\r\n  author    = {Spiller, Moritz and Esmaeili, Nazila and Sühn, Thomas and Boese, Axel and Turial, Salmai and Gumbs, Andrew A and Croner, Roland and Friebe, Michael and Illanes, Alfredo},\r\n  title     = {Enhancing Veress Needle Entry with Proximal Vibroacoustic Sensing for Automatic Identification of Peritoneum Puncture},\r\n  journal   = {Diagnostics (Basel)},\r\n  year      = {2024},\r\n  month     = {August},\r\n  day       = {5},\r\n  volume    = {14},\r\n  number    = {15},\r\n  pages     = {1698},\r\n  doi       = {10.3390/diagnostics14151698},\r\n  pmid      = {39125574},\r\n  pmcid     = {PMC11311580},\r\n  issn      = {2075-4418},\r\n  note      = {PubMed-not-MEDLINE},\r\n  abstract  = {Laparoscopic access, a critical yet challenging step in surgical procedures, often leads to complications. Existing systems, such as improved Veress needles and optical trocars, offer limited safety benefits but come with elevated costs. In this study, a prototype of a novel technology for guiding needle interventions based on vibroacoustic signals is evaluated in porcine cadavers. The prototype consistently detected successful abdominal cavity entry in 100% of cases during 193 insertions across eight porcine cadavers. The high signal quality allowed for the precise identification of all Veress needle insertion phases, including peritoneum puncture. The findings suggest that this vibroacoustic-based guidance technology could enhance surgeons' situational awareness and provide valuable support during laparoscopic access. Unlike existing solutions, this technology does not require sensing elements in the instrument's tip and remains compatible with medical instruments from various manufacturers.},\r\n  affiliation = {SURAG Medical GmbH, Leipzig, Germany; Chair for Computer Aided Medical Procedures and Augmented Reality, Technical University of Munich, Munich, Germany; Department of Orthopaedic Surgery, Otto-von-Guericke University Magdeburg, Magdeburg, Germany; INKA-Innovation Laboratory for Image Guided Therapy, Otto-von-Guericke University Magdeburg, Magdeburg, Germany; Department of Pediatric Surgery and Pediatric Traumatology, University Clinic for General, Visceral, Vascular and Transplant Surgery, University Hospital Magdeburg, Magdeburg, Germany; University Clinic for General, Visceral, Vascular and Transplant Surgery, University Hospital Magdeburg, Magdeburg, Germany; Advanced & Minimally Invasive Surgery Excellence Center, American Hospital Tblisi, Tblisi, Georgia; Faculty of Computer Science, AGH University of Science and Technology, Krakow, Poland; Center for Innovation, Business Development & Entrepreneurship, FOM University of Applied Sciences, Essen, Germany.},\r\n  funding   = {03EFOST032/Federal Ministry for Economic Affairs and Climate Action},\r\n  publisher = {Switzerland},\r\n  note      = {M.S., N.E., T.S., A.B., M.F., and A.I. are shareholders of SURAG Medical GmbH, a medical technology startup that is developing a medical device based on proximal vibroacoustic sensing. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.}\r\n}\r\n\r\n\r\n\r\n
\n
\n\n\n
\n Laparoscopic access, a critical yet challenging step in surgical procedures, often leads to complications. Existing systems, such as improved Veress needles and optical trocars, offer limited safety benefits but come with elevated costs. In this study, a prototype of a novel technology for guiding needle interventions based on vibroacoustic signals is evaluated in porcine cadavers. The prototype consistently detected successful abdominal cavity entry in 100% of cases during 193 insertions across eight porcine cadavers. The high signal quality allowed for the precise identification of all Veress needle insertion phases, including peritoneum puncture. The findings suggest that this vibroacoustic-based guidance technology could enhance surgeons' situational awareness and provide valuable support during laparoscopic access. Unlike existing solutions, this technology does not require sensing elements in the instrument's tip and remains compatible with medical instruments from various manufacturers.\n
\n\n\n
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\n \n\n \n \n \n \n \n Mapping and Deep Analysis of Hospital Radiology Department to Identify Workflow Challenges and Their Potential Digital Solutions.\n \n \n \n\n\n \n Mahmeen, M.; Mehdi, S.; Friebe, M.; Pech, M.; and Haider, S.\n\n\n \n\n\n\n Journal of Health Management, 26. 08 2024.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{article,\r\nauthor = {Mahmeen, Mohd and Mehdi, Syed and Friebe, Michael and Pech, Maciej and Haider, Sultan},\r\nyear = {2024},\r\nmonth = {08},\r\npages = {},\r\ntitle = {Mapping and Deep Analysis of Hospital Radiology Department to Identify Workflow Challenges and Their Potential Digital Solutions},\r\nvolume = {26},\r\njournal = {Journal of Health Management},\r\ndoi = {10.1177/09720634241276076}\r\n}\r\n\r\n
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\n  \n 2023\n \n \n (9)\n \n \n
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\n \n\n \n \n \n \n \n Framework for Exploratory Analysis of Vibroacoustic Signals Resulting from Needle-Tissue Interaction - setup for data acquisition.\n \n \n \n\n\n \n Cholewa, N.; Serwatka, W.; Sorysz, J.; Heryan, K.; Krombach, G. A.; and Friebe, M.\n\n\n \n\n\n\n In 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, pages 17-18, Dec 2023. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@INPROCEEDINGS{10405256,\r\n  author={Cholewa, Natalia and Serwatka, Witold and Sorysz, Joanna and Heryan, Katarzyna and Krombach, Gabrielle A. and Friebe, Michael},\r\n  booktitle={2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology}, \r\n  title={Framework for Exploratory Analysis of Vibroacoustic Signals Resulting from Needle-Tissue Interaction - setup for data acquisition}, \r\n  year={2023},\r\n  volume={},\r\n  number={},\r\n  pages={17-18},\r\n  abstract={Minimal-invasive surgery provides patients with benefits such as fewer incisions, faster healing times, reduced postoperative pain and bleeding, minimized scarring, and shorter hospital stays. To enhance its effectiveness ultrasound imaging or magnetic resonance-based guidance systems have been developed. However, research in robotics, sensors, and medical imaging is quickly evolving often presenting new solutions to the still persisting artifact and real-time feedback issues. To test those navigation technologies specialized phantoms are needed. Currently, existing phantoms are offering small tissue-like materials variability and are made of materials not suitable for extensive testing of minimally invasive surgery technologies. In this paper, we present a preliminary study about dedicated phantom design and manufacturing process, and data collection with special attention to vibroacoustic signals for future analysis.Clinical relevance: Widely available phantoms not only serve an important part in new technology testing in an invivo environment but also allow medical doctors to practice their skills in safe conditions.},\r\n  keywords={Ultrasonic imaging;Pain;Navigation;Phantoms;Robot sensing systems;Real-time systems;Testing},\r\n  doi={10.1109/IEEECONF58974.2023.10405256},\r\n  ISSN={},\r\n  month={Dec},}\r\n\r\n\r\n\r\n
\n
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\n Minimal-invasive surgery provides patients with benefits such as fewer incisions, faster healing times, reduced postoperative pain and bleeding, minimized scarring, and shorter hospital stays. To enhance its effectiveness ultrasound imaging or magnetic resonance-based guidance systems have been developed. However, research in robotics, sensors, and medical imaging is quickly evolving often presenting new solutions to the still persisting artifact and real-time feedback issues. To test those navigation technologies specialized phantoms are needed. Currently, existing phantoms are offering small tissue-like materials variability and are made of materials not suitable for extensive testing of minimally invasive surgery technologies. In this paper, we present a preliminary study about dedicated phantom design and manufacturing process, and data collection with special attention to vibroacoustic signals for future analysis.Clinical relevance: Widely available phantoms not only serve an important part in new technology testing in an invivo environment but also allow medical doctors to practice their skills in safe conditions.\n
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\n \n\n \n \n \n \n \n Tissue Classification Using Data from Vibroacoustic Signals Produced from Needle-Tissue Interaction.\n \n \n \n\n\n \n Heryan, K.; Serwatka, W.; Sorysz, J.; Fuentealba, P.; Rzepka, D.; and Friebe, M.\n\n\n \n\n\n\n In 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, pages 185-186, Dec 2023. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@INPROCEEDINGS{10405328,\r\n  author={Heryan, Katarzyna and Serwatka, Witold and Sorysz, Joanna and Fuentealba, Patricio and Rzepka, Dominik and Friebe, Michael},\r\n  booktitle={2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology}, \r\n  title={Tissue Classification Using Data from Vibroacoustic Signals Produced from Needle-Tissue Interaction}, \r\n  year={2023},\r\n  volume={},\r\n  number={},\r\n  pages={185-186},\r\n  abstract={In many clinical procedures, precise needle localization is crucial for avoiding organ damage and ensuring accurate target placement. Most imaging systems come with some limitations and produce artifacts in combination with the devices that hinder accurate needle localization, particularly with respect to visualizing the tip of the needle. We propose to use vibroacoustic signals generated during needle movement through human tissue, in combination with advanced data processing and deep learning techniques for precise localization. To validate this concept, we designed a specialized phantom using animal tissues submerged in gelatine to collect the vibroacoustic data. This paper summarizes initial experiments, involving data acquisition and preprocessing, conversion into Mel and continuous wavelet transform spectrograms, as well as their use as inputs for two distinct deep learning models: NeedleNet and ResNet-34. The aim of this research was to prove that vibroacoustic signals can be used to identify tissue types during needle insertion and serve as a baseline for further investigations.Clinical relevance: These are the first phantom studies that show the usefullness of vibroacoustic signals that are generated during device-tissue interaction as a support tool for localization information.},\r\n  keywords={Location awareness;Deep learning;Phantoms;Data visualization;Medical services;Needles;Spectrogram},\r\n  doi={10.1109/IEEECONF58974.2023.10405328},\r\n  ISSN={},\r\n  month={Dec},}\r\n\r\n  \r\n\r\n
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\n In many clinical procedures, precise needle localization is crucial for avoiding organ damage and ensuring accurate target placement. Most imaging systems come with some limitations and produce artifacts in combination with the devices that hinder accurate needle localization, particularly with respect to visualizing the tip of the needle. We propose to use vibroacoustic signals generated during needle movement through human tissue, in combination with advanced data processing and deep learning techniques for precise localization. To validate this concept, we designed a specialized phantom using animal tissues submerged in gelatine to collect the vibroacoustic data. This paper summarizes initial experiments, involving data acquisition and preprocessing, conversion into Mel and continuous wavelet transform spectrograms, as well as their use as inputs for two distinct deep learning models: NeedleNet and ResNet-34. The aim of this research was to prove that vibroacoustic signals can be used to identify tissue types during needle insertion and serve as a baseline for further investigations.Clinical relevance: These are the first phantom studies that show the usefullness of vibroacoustic signals that are generated during device-tissue interaction as a support tool for localization information.\n
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\n \n\n \n \n \n \n \n \n Towards AI-driven minimally invasive needle interventions.\n \n \n \n \n\n\n \n Spiller, M.; Esmaeili, N.; Sühn, T.; Boese, A.; Friebe, M.; Illanes, A.; and Turial, S.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 9(1): 559–562. September 2023.\n \n\n\n\n
\n\n\n\n \n \n \"TowardsPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{spiller_towards_2023,\r\n\ttitle = {Towards {AI}-driven minimally invasive needle interventions},\r\n\tvolume = {9},\r\n\tcopyright = {De Gruyter expressly reserves the right to use all content for commercial text and data mining within the meaning of Section 44b of the German Copyright Act.},\r\n\tissn = {2364-5504},\r\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2023-1140/html},\r\n\tdoi = {10.1515/cdbme-2023-1140},\r\n\tabstract = {The overall complication rate during laparoscopic access is estimated to be as high as 14 \\%. Surgeons have to rely heavily on their experience and haptic perception while inserting the Veress needle or a trocar into the peritoneal cavity. Surgical Audio Guidance (SURAG) is a promising alternative to current techniques. It acquires instrument-born vibroacoustic (VA) waves to track the insertion of the instrument and provide real-time feedback to surgeons. This article presents an initial evaluation of the SURAG technology through two sets of experiments to classify Veress needle events using different AI-models. The results demonstrate the feasibility of using AI for classifying Veress needle events and the potential of the SURAG technology to support surgeons during laparoscopic access and minimally invasive needle interventions in general.},\r\n\tlanguage = {en},\r\n\tnumber = {1},\r\n\turldate = {2023-09-22},\r\n\tjournal = {Current Directions in Biomedical Engineering},\r\n\tauthor = {Spiller, Moritz and Esmaeili, Nazila and Sühn, Thomas and Boese, Axel and Friebe, Michael and Illanes, Alfredo and Turial, Salmai},\r\n\tmonth = sep,\r\n\tyear = {2023},\r\n\tkeywords = {Artificial Intelligence, Audio Sensing, Needle Interventions, Surgical Support Systems},\r\n\tpages = {559--562},\r\n}\r\n\r\n\r\n\r\n
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\n The overall complication rate during laparoscopic access is estimated to be as high as 14 %. Surgeons have to rely heavily on their experience and haptic perception while inserting the Veress needle or a trocar into the peritoneal cavity. Surgical Audio Guidance (SURAG) is a promising alternative to current techniques. It acquires instrument-born vibroacoustic (VA) waves to track the insertion of the instrument and provide real-time feedback to surgeons. This article presents an initial evaluation of the SURAG technology through two sets of experiments to classify Veress needle events using different AI-models. The results demonstrate the feasibility of using AI for classifying Veress needle events and the potential of the SURAG technology to support surgeons during laparoscopic access and minimally invasive needle interventions in general.\n
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\n \n\n \n \n \n \n \n \n Audio-based tissue classification - preliminary investigation for a needle procedure.\n \n \n \n \n\n\n \n Serwatka, W.; Heryan, K.; Sorysz, J.; Illanes, A.; Boese, A.; Krombach, G. A.; and Friebe, M.\n\n\n \n\n\n\n Current Directions in Biomedical Engineering, 9(1): 347–350. September 2023.\n \n\n\n\n
\n\n\n\n \n \n \"Audio-basedPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@article{serwatka_audio-based_2023,\r\n\ttitle = {Audio-based tissue classification - preliminary investigation for a needle procedure},\r\n\tvolume = {9},\r\n\tcopyright = {De Gruyter expressly reserves the right to use all content for commercial text and data mining within the meaning of Section 44b of the German Copyright Act.},\r\n\tissn = {2364-5504},\r\n\turl = {https://www.degruyter.com/document/doi/10.1515/cdbme-2023-1087/html},\r\n\tdoi = {10.1515/cdbme-2023-1087},\r\n\tabstract = {Image-guided and minimally invasive procedures still require confirmation on having reached a target. Intraoperative imaging is not always sufficient or conclusive as it comes with artifacts that can come with a certain amount of ambiguity and inaccurate location information. As an alternative to imaging, we want to explore sounds produced by the biopsy needle tip while advancing and interacting with tissue. In this paper, we show that by analyzing vibroacoustic signals acquired at the proximal end of the needle we are able to differentiate the tissue type. In total, 419 audio samples of 5 tissues were acquired and converted to spectrograms used as input to a convolutional neural network. Using this experimental setup we were able to differentiate the tissue types with an F1 score of 71.64\\%. Based on these results we were able to demonstrate the feasibility of our approach, as well as the importance of further experiments to ensure that vibroacoustic sounds produced by the needle tip can be a new navigation method.},\r\n\tlanguage = {en},\r\n\tnumber = {1},\r\n\turldate = {2023-09-22},\r\n\tjournal = {Current Directions in Biomedical Engineering},\r\n\tauthor = {Serwatka, Witold and Heryan, Katarzyna and Sorysz, Joanna and Illanes, Alfredo and Boese, Axel and Krombach, Gabrielle A. and Friebe, Michael},\r\n\tmonth = sep,\r\n\tyear = {2023},\r\n\tkeywords = {audio guidance, convolutional neural network, interventional therapy, minimal-invasive procedures, tissue characterization, vibroacoustic signal processing},\r\n\tpages = {347--350},\r\n}\r\n\r\n\r\n\r\n
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\n Image-guided and minimally invasive procedures still require confirmation on having reached a target. Intraoperative imaging is not always sufficient or conclusive as it comes with artifacts that can come with a certain amount of ambiguity and inaccurate location information. As an alternative to imaging, we want to explore sounds produced by the biopsy needle tip while advancing and interacting with tissue. In this paper, we show that by analyzing vibroacoustic signals acquired at the proximal end of the needle we are able to differentiate the tissue type. In total, 419 audio samples of 5 tissues were acquired and converted to spectrograms used as input to a convolutional neural network. Using this experimental setup we were able to differentiate the tissue types with an F1 score of 71.64%. Based on these results we were able to demonstrate the feasibility of our approach, as well as the importance of further experiments to ensure that vibroacoustic sounds produced by the needle tip can be a new navigation method.\n
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\n \n\n \n \n \n \n \n Advancements in Medical Imaging and Image-Guided Procedures: A Potential—Or Rather Likely—Paradigm Shift in Diagnosis and Therapy: Understand Disruption and Take Advantage of It!.\n \n \n \n\n\n \n Friebe, M.; and Illanes, A.\n\n\n \n\n\n\n Applied Sciences, 13: 9218. 08 2023.\n \n\n\n\n
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@article{article,\r\nauthor = {Friebe, Michael and Illanes, Alfredo},\r\nyear = {2023},\r\nmonth = {08},\r\npages = {9218},\r\ntitle = {Advancements in Medical Imaging and Image-Guided Procedures: A Potential—Or Rather Likely—Paradigm Shift in Diagnosis and Therapy: Understand Disruption and Take Advantage of It!},\r\nvolume = {13},\r\njournal = {Applied Sciences},\r\ndoi = {10.3390/app13169218}\r\n}\r\n\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Vibro-acoustic sensing of tissue-instrument-interactions allows a differentiation of biological tissue in computerized palpation.\n \n \n \n\n\n \n Sühn, T.; Esmaeili, N.; Spiller, M.; Costa, M.; Boese, A.; Bertrand, J.; Pandey, A.; Lohmann, C.; Friebe, M.; and Illanes, A.\n\n\n \n\n\n\n Computers in Biology and Medicine, 164: 107272. 07 2023.\n \n\n\n\n
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@article{article,\r\nauthor = {Sühn, Thomas and Esmaeili, Nazila and Spiller, Moritz and Costa, Maximilian and Boese, Axel and Bertrand, Jessica and Pandey, Ajay and Lohmann, Christoph and Friebe, Michael and Illanes, Alfredo},\r\nyear = {2023},\r\nmonth = {07},\r\npages = {107272},\r\ntitle = {Vibro-acoustic sensing of tissue-instrument-interactions allows a differentiation of biological tissue in computerized palpation},\r\nvolume = {164},\r\njournal = {Computers in Biology and Medicine},\r\ndoi = {10.1016/j.compbiomed.2023.107272}\r\n}\r\n\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Vibro-Acoustic Sensing of Instrument Interactions as a Potential Source of Texture-Related Information in Robotic Palpation.\n \n \n \n\n\n \n Sühn, T.; Esmaeili, N.; Mattepu, S.; Spiller, M.; Boese, A.; Urrutia, R.; Poblete Ramírez, V.; Hansen, C.; Lohmann, C.; Illanes, A.; and Friebe, M.\n\n\n \n\n\n\n Sensors, 23: 3141. 03 2023.\n \n\n\n\n
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@article{article,\r\nauthor = {Sühn, Thomas and Esmaeili, Nazila and Mattepu, Sandeep and Spiller, Moritz and Boese, Axel and Urrutia, Robin and Poblete Ramírez, Victor and Hansen, Christian and Lohmann, Christoph and Illanes, Alfredo and Friebe, Michael},\r\nyear = {2023},\r\nmonth = {03},\r\npages = {3141},\r\ntitle = {Vibro-Acoustic Sensing of Instrument Interactions as a Potential Source of Texture-Related Information in Robotic Palpation},\r\nvolume = {23},\r\njournal = {Sensors},\r\ndoi = {10.3390/s23063141}\r\n}\r\n\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n A novel framework for differentiating vessel-like objects in coronarography images.\n \n \n \n\n\n \n Serwatka, W.; Heryan (Bugajska), K.; Sorysz, J.; Jarzab, M.; and Sterna, K.\n\n\n \n\n\n\n In volume 2023, pages 1-4, 07 2023. \n \n\n\n\n
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@inproceedings{inproceedings,\r\nauthor = {Serwatka, Witold and Heryan (Bugajska), Katarzyna and Sorysz, Joanna and Jarzab, Marcin and Sterna, Kamil},\r\nyear = {2023},\r\nmonth = {07},\r\npages = {1-4},\r\ntitle = {A novel framework for differentiating vessel-like objects in coronarography images},\r\nvolume = {2023},\r\ndoi = {10.1109/EMBC40787.2023.10341105}\r\n}\r\n\r\n\r\n\r\n
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\n \n\n \n \n \n \n \n Automated Stenosis Detection in Coronarography Image Data.\n \n \n \n\n\n \n Haltiuk, M.; Czyjt, M.; Ciezobka, W.; Serwatka, W.; Galkowski, J.; Jarzab, M.; Sterna, K.; and Heryan (Bugajska), K.\n\n\n \n\n\n\n In pages 37-38, 12 2023. \n \n\n\n\n
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@inproceedings{inproceedings,\r\nauthor = {Haltiuk, M. and Czyjt, M. and Ciezobka, W. and Serwatka, Witold and Galkowski, J. and Jarzab, M. and Sterna, K. and Heryan (Bugajska), Katarzyna},\r\nyear = {2023},\r\nmonth = {12},\r\npages = {37-38},\r\ntitle = {Automated Stenosis Detection in Coronarography Image Data},\r\ndoi = {10.1109/IEEECONF58974.2023.10404434}\r\n}\r\n\r\n\r\n\r\n
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