Article
Multidisciplinary Sciences
Valerie Schmelter, Sarah Heidorn, Alexander Muacevic, Siegfried G. Priglinger, Paul Foerster, Raffael Liegl
Summary: Iris melanoma is a rare form of uveal melanoma, with treatment options including surgical resection, enucleation, or irradiation. This study analyzed the visual outcomes of eight patients with iris melanoma following robotic-assisted CyberKnife treatment, showing that robotic-assisted radiosurgery is a promising non-invasive treatment option.
SCIENTIFIC REPORTS
(2021)
Article
Engineering, Biomedical
Jinghui Wang, Lei Wang, Peter G. Maxim, Billy W. Loo
Summary: An automated optimization strategy was developed for collimator design in small-field radiotherapy systems. Results showed good agreement with the CyberKnife system when prioritizing minimum penumbra, indicating the potential application of this strategy to more complex collimator designs.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Robotics
Ning Yang, Amit Rogel, Gil Weinberg
Summary: We introduce a newly developed robotic musician designed to play an acoustic guitar in a rich and expressive manner. The robot is capable of controlling a wide dynamic range, generating notes at the millisecond level, and performing various guitar techniques. Through recording and modeling human guitarists, the robot is able to perform with human-level expressivity.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Robotics
Jiateng Wang, Rongchuan Sun, Shumei Yu, Fengfeng Zhang, Sun Lining
Summary: The study proposed a method to extract highly representative surface motion features correlated with tumor motion, achieving high accuracy and stability. Differences in correlations between external features and tumor motion exist in different thoracic and abdominal regions. By improving the correlation model, lower average error and absolute error were achieved.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Biochemistry & Molecular Biology
Corentin Peyret, Kamil Elkhoury, Sabine Bouguet-Bonnet, Sophie Poinsignon, Corentin Boulogne, Tristan Giraud, Loic Stefan, Yasmina Tahri, Laura Sanchez-Gonzalez, Michel Linder, Ali Tamayol, Cyril J. F. Kahn, Elmira Arab-Tehrany
Summary: There is a growing interest in creating in vitro environments that resemble the extracellular matrix to allow cells to grow in more natural conditions. This study investigated the influence of synthesis parameters on the physical properties of GelMA, a protein-based hydrogel. The ratio of methacrylic anhydride over gelatin was found to be the most impactful parameter.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Clinical Neurology
Georgios Mantziaris, Joshua Diamond, Stylianos Pikis, Farid M. El Hefnawi, Ghusn Al Sideiri, Francois-Louis Coupe, David Mathieu, Cheng-Chia Lee, Jaromir May, Roman Liscak, Selcuk Peker, Yavuz Samanci, Ajay Niranjan, L. Dade Lunsford, Jason P. Sheehan
Summary: SRS appears to be a safe and effective treatment option for surgically inaccessible, recurrent, and residual gangliogliomas. In this series, the 5-year progression-free survival rate after SRS was 85.6%.
JOURNAL OF NEUROSURGERY
(2022)
Article
Automation & Control Systems
Ru Tong, Zhengxing Wu, Di Chen, Jian Wang, Sheng Du, Min Tan, Junzhi Yu
Summary: This article introduces a wireless high-performance robotic tuna that achieves high swimming speed and steering maneuverability through mechanism optimization and steering strategies design, providing valuable insights into performing special missions in cluttered ocean environments.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Automation & Control Systems
Ru Tong, Zhengxing Wu, Di Chen, Jian Wang, Sheng Du, Min Tan, Junzhi Yu
Summary: This article presents an untethered high-performance robotic tuna that achieves both high swimming speed and outstanding steering maneuverability through mechanism optimization and steering strategies design. A novel mechanism of redundant joints is designed to enrich swimming patterns, and two steering strategies are proposed to improve steering performance. Extensive simulation and experiments verify the effectiveness of the proposed methods.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Review
Oncology
Antoine Vasseur, Nicolas Kiavue, Francois-Clement Bidard, Jean-Yves Pierga, Luc Cabel
Summary: The prognostic role of circulating tumor cells (CTCs) has been well established in various types of cancer, but their definitive role in diagnostic and treatment strategies is still to be defined. Current clinical research on CTCs focuses mainly on breast, lung, colorectal, and prostate cancer. Studies are primarily exploring treatment approaches based on CTC count or variations, as well as treatment based on the molecular characteristics of CTCs.
MOLECULAR ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Shinya Komori, Katsumi Hirose, Akihiko Takeuchi, Ryohei Kato, Tomoaki Motoyanagi, Yuhei Yamazaki, Mariko Sato, Takahiro Kato, Yoshihiro Takai
Summary: NeuCure is the only accelerator-based boron neutron capture therapy (BNCT) system in the world with pharmaceutical approval. The use of a collimator with a convex-extended section on the patient side (extended collimators [ECs]) can reduce the dose to normal tissues and shorten the irradiation time when positioning the patient close to the collimator is difficult. This study evaluated the physical characterization and usefulness of each collimator using a simple geometry water phantom model and human model.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Venkatesan Kaliyaperumal, Susan Abraham, Maragatha Veni, Susovan Banerjee, S. Tamilselvan, Deepak Gupta, K. Dayanithi, D. Manigandan, Saumyaranjan Mishra, Shyam Singh Bisht, Tejinder Kataria
Summary: This study compared the dosimetric effects of different collimators used in CK and LINAC for SRS treatment of AVM. The results showed that CK collimators can treat brain AVMs of any size, while Linac MLC-based SRS has some limitations in terms of conformity and low-dose spillage, but offers advantages such as reduced treatment time and MU.
JOURNAL OF MEDICAL PHYSICS
(2021)
Article
Engineering, Biomedical
Emmanouil Dimitrakakis, Lukas Lindenroth, George Dwyer, Holly Aylmore, Neil L. Dorward, Hani J. Marcus, Danail Stoyanov
Summary: The study introduced a prototype handle for a robotic instrument in keyhole brain surgery, which mapped the surgeon's wrist directly to the robot joints. The handle showed improved success rate and ergonomic posture compared to traditional tools, indicating a potential advancement in neurosurgical instrumentation.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
(2021)
Article
Chemistry, Physical
Yachuan Kuang, Zhiwei Peng, Jiahui Yang, Miaomiao Zhou, Chang He, Yinhu Liu, Xiaofei Mo, Zhexuan Song
Summary: The U-shaped ferrule joint bars connections technology enables fast and reliable construction of prefabricated concrete underground utility tunnels, which has been validated through experiments and numerical analyses.
Article
Radiology, Nuclear Medicine & Medical Imaging
Anna Ianiro, Erminia Infusino, Marco D'Andrea, Laura Marucci, Alessia Farneti, Francesca Sperati, Bartolomeo Cassano, Sara Ungania, Antonella Soriani
Summary: By recalculating plans with the multileaf collimator (MLC), it is possible to achieve comparable dosimetric overall quality in stereotactic radiosurgery for multiple brain metastases. However, MLC plans have advantages in treatment duration and dose, with an increased risk for brain radionecrosis.
JOURNAL OF MEDICAL PHYSICS
(2023)
Article
Computer Science, Artificial Intelligence
Sainul Islam Ansary, Sankha Deb, Alok Kanti Deb
Summary: This paper presents the design and development of an adaptive gripper that is able to grasp objects of varied geometric shapes. The proposed gripper focuses on ensuring a stable grasp on lightweight objects, such as empty plastic bottles, by using movable pulleys and tendon wires. The design of the gripper is further improved through optimization and the optimized gripper is manufactured using 3D printing. Validation is performed by executing object grasping tasks on common household items using an industrial robot equipped with the developed gripper.
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Debayan Bhattacharya, Dennis Eggert, Christian Betz, Alexander Schlaefer
Summary: This study proposes an attention module called SMCA to improve the performance of an artificial intelligence diagnostic system in colonoscopy examination. The results show that incorporating SMCA into different segmentation models enhances the generalizing capability of the models across different datasets.
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
(2023)
Article
Engineering, Biomedical
Sofie Dragoun Kolibova, Eva Maria Woelfel, Haniyeh Hemmatian, Petar Milovanovic, Herbert Mushumba, Birgit Wulff, Maximilian Neidhardt, Klaus Pueschel, Antonio Virgilio Failla, Annegreet Vlug, Alexander Schlaefer, Benjamin Ondruschka, Michael Amling, Lorenz C. Hofbauer, Martina Rauner, Bjoern Busse, Katharina Jaehn-Rickert
Summary: Type 1 diabetes mellitus (T1DM) is associated with increased bone fragility. Our study found accelerated osteocyte apoptosis and local mineralization in T1DM patients, suggesting that T1DM speeds up bone aging and impairs its biomechanical competence. Dysfunction of the osteocyte network hampers bone remodeling and repair, contributing to the increased fracture risk in T1DM individuals.
ACTA BIOMATERIALIA
(2023)
Article
Mathematics, Interdisciplinary Applications
Merten Stender, Jakob Ohlsen, Hendrik Geisler, Amin Chabchoub, Norbert Hoffmann, Alexander Schlaefer
Summary: In this paper, a fully data-driven approach is proposed, which uses fully convolutional neural networks to directly learn spatio-temporal dynamics from parameterized datasets of linear spatio-temporal processes. Numerical experiments show that the proposed UP-Net outperforms classical U-Net and conventional encoder-decoder architectures of the same complexity in validation tasks.
COMPUTATIONAL MECHANICS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Payam Samadi Miandoab, Shahyar Saramad, Saeed Setayeshi, Oliver Blanck
Summary: This study investigates a new approach for estimating PTV margin for moving tumors treated with robotic SBRT. The study found that using the modified Van Herk formula can provide more precise target localization and suggest using adaptive PTV margins in future fractions to improve clinical outcomes.
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS
(2023)
Article
Oncology
David Krug, Adrian Zaman, Lina Eidinger, Melanie Grehn, Judit Boda-Heggemann, Boris Rudic, Felix Mehrhof, Leif-Hendrik Boldt, Stephan Hohmann, Roland Merten, Daniel Buergy, Jens Fleckenstein, Anne Kluge, Annette Rogge, Marcus Both, Dirk Rades, Roland Richard Tilz, Denise Olbrich, Inke R. Koenig, Frank-Andre Siebert, Achim Schweikard, Reinhard Vonthein, Hendrik Bonnemeier, Jurgen Dunst, Oliver Blanck
Summary: This multicenter trial evaluates the feasibility and safety of high-precision image-guided cardiac stereotactic radiation therapy for patients with refractory ventricular tachycardia. The interim analysis shows that the treatment can be carried out without complications and there were no serious treatment-related adverse events. Some patients experienced a decrease in ventricular tachycardia episodes during follow-up, while one patient died due to cardiogenic shock.
STRAHLENTHERAPIE UND ONKOLOGIE
(2023)
Article
Oncology
David Krug, Detlef Imhoff, Alfred Haidenberger, Nicole Hessler, Jane Schaefer, Stefan Huttenlocher, Georgios Chatzikonstantinou, Christoph Fuerweger, Ulla Ramm, Inke R. Koenig, Felix Chun, Michael Staehler, Claus Roedel, Alexander Muacevic, Reinhard Vonthein, Juergen Dunst, Oliver Blanck
Summary: This study aimed to evaluate the efficacy and toxicity of robotic stereotactic body radiotherapy (SBRT) for patients with localized prostate cancer. The results showed that robotic SBRT had minimal toxicity and produced favorable short-term outcomes.
STRAHLENTHERAPIE UND ONKOLOGIE
(2023)
Article
Oncology
E. Gkika, D. Kostyszyn, T. Fechter, C. Moustakis, F. Ernst, J. Boda-Heggemann, G. Sarria, K. Dieckmann, S. Dobiasch, M. N. Duma, F. Eberle, K. Kroeger, B. Haeussler, V. Izaguirre, D. Jazmati, S. Lautenschlaeger, F. Lohaus, F. Mantel, J. Menzel, S. Pachmann, M. Pavic, K. Radlanski, O. Riesterer, S. Gerum, F. Roeder, J. Willner, S. Barczyk, D. Imhoff, O. Blanck, A. Wittig, M. Guckenberger, Anca-L. Grosu, T. B. Brunner
Summary: The purpose of this study was to evaluate interobserver agreement on target volume definition for pancreatic cancer within the Radiosurgery and Stereotactic Radiotherapy Working Group of the German Society of Radiation Oncology (DEGRO) and to identify the influence of imaging modalities on the definition of the target volumes. The results showed that PET/CT and 4D PET/CT had the best agreement for defining treatment volumes in pancreatic SBRT. Overall, this study can contribute to improving the effectiveness of pancreatic SBRT.
STRAHLENTHERAPIE UND ONKOLOGIE
(2023)
Article
Engineering, Biomedical
Marcel Bengs, Johanna Sprenger, Stefan Gerlach, Maximilian Neidhardt, Alexander Schlaefer
Summary: This article presents a real-time motion estimation and forecasting method based on 4D deep learning, which effectively performs markerless long-term motion estimation and demonstrates the ability to predict the future directly from image data.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2023)
Article
Oncology
Josef A. Buchner, Jan C. Peeken, Lucas Etzel, Ivan Ezhov, Michael Mayinger, Sebastian M. Christ, Thomas B. Brunner, Andrea Wittig, Bjoern H. Menze, Claus Zimmer, Bernhard Meyer, Matthias Guckenberger, Nicolaus Andratschke, Rami A. El Shafie, Juergen Debus, Susanne Rogers, Oliver Riesterer, Katrin Schulze, Horst J. Feldmann, Oliver Blanck, Constantinos Zamboglou, Konstantinos Ferentinos, Angelika Bilger, Anca Grosu, Robert Wolff, Jan S. Kirschke, Kerstin Eitz, Stephanie Combs, Denise Bernhardt, Daniel Rueckert, Marie Piraud, Benedikt Wiestler, Florian Kofler
Summary: This study compares the performance of different MRI sequences in automated brain metastasis (BM) segmentation. The T1-CE sequence alone achieved the best segmentation performance for BM, while the combination of T1-CE and T2-FLAIR sequences was important for edema segmentation.
RADIOTHERAPY AND ONCOLOGY
(2023)
Review
Oncology
Raoul R. F. Stevens, Colien Hazelaar, Martin F. Fast, Stefano Mandija, Melanie Grehn, Jakub Cvek, Lukas Knybel, Pavel Dvorak, Etienne Pruvot, Joost J. C. Verhoeff, Oliver Blanck, Wouter van Elmpt
Summary: This review examined the cardiorespiratory motion data in Stereotactic Arrhythmia Radioablation (STAR) and found limited detailed data on the subject. There were inconsistencies in reported parameters, making data comparison difficult. Due to the high patient-specific nature of cardiorespiratory motion, individual motion management strategies are highly recommended during imaging, planning, and treatment for STAR.
RADIOTHERAPY AND ONCOLOGY
(2023)
Article
Oncology
Lena Kaestner, Judit Boda-Heggemann, Hannah Fanslau, Jingyang Xie, Achim Schweikard, Frank A. Giordano, Oliver Blanck, Boris Rudic
Summary: In this study, we presented a case of a patient with a poor prognosis after myocardial infarction, who had refractory ventricular tachycardia and could not be treated effectively with antiarrhythmic drugs, implantable cardioverter-defibrillator implantation, or repeated catheter ablation. The patient was introduced to the radiation oncology department for emergency stereotactic arrhythmia radioablation (STAR) as a bail-out therapy, and achieved a good outcome.
STRAHLENTHERAPIE UND ONKOLOGIE
(2023)
Editorial Material
Oncology
Danny Jazmati, Judit Boda-Heggemann, Oliver Blanck, David Krug
STRAHLENTHERAPIE UND ONKOLOGIE
(2023)
Article
Engineering, Biomedical
Debayan Bhattacharya, Finn Behrendt, Benjamin Tobias Becker, Dirk Beyersdorff, Elina Petersen, Marvin Petersen, Bastian Cheng, Dennis Eggert, Christian Betz, Anna Sophie Hoffmann, Alexander Schlaefer
Summary: This study investigates the feasibility of using a 3D convolutional neural network to classify healthy maxillary sinuses and sinuses with polyps or cysts. The researchers develop a strategy that includes a novel sampling technique and employ a Multiple Instance Ensembling prediction method to improve classification performance. The results show that sampling and Multiple Instance Ensembling can significantly improve the classification performance of paranasal anomaly classification.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Sarah Grube, Marcel Bengs, Maximilian Neidhardt, Sarah Latus, Alexander Schlaefer
Summary: A change in tissue stiffness can indicate pathological diseases, and ultrasound shear wave elastography (US-SWEI) can be used to quantify tissue stiffness by estimating the velocity of propagating shear waves. This study analyzed the effect of a reduced lateral imaging width on shear wave velocity estimation using the time-of-right (ToF) method and spatio-temporal convolutional neural networks (ST-CNNs). The results showed that the lateral imaging width had a substantial impact on the performance of ToF, while ST-CNNs remained robust, allowing shear wave velocity estimation even with a lateral imaging width of 2.1 mm.
MEDICAL IMAGING 2023
(2023)
Article
Multidisciplinary Sciences
Maximilian Neidhardt, Robin Mieling, Marcel Bengs, Alexander Schlaefer
Summary: Robotic assistance in minimally invasive surgery has advantages but lacks force feedback, making accurate tool-tissue interaction force estimation a challenge. Image-based force estimation, using observed deformation and learning methods, offers a promising solution. In this work, optical coherence tomography is used to combine tissue deformation detection with shear wave elastography for accurate force estimation. A multi-input deep learning network processing local elasticity estimates and volumetric image data yields the best performance. The approach also shows generalization to other tissue properties.
SCIENTIFIC REPORTS
(2023)