{"1c09ad3a57d45986105107c77d0da5cfinspo5":{"DOI":"10.3389/fbioe.2024.1388907","ISBN":"","ISSN":"2296-4185","URL":"https://www.frontiersin.org/articles/10.3389/fbioe.2024.1388907","abstract":"","annote":"","author":[{"family":"Sahrmann","given":"Annika S."},{"family":"Vosse","given":"Lukas"},{"family":"Siebert","given":"Tobias"},{"family":"Handsfield","given":"Geoffrey G."},{"family":"Röhrle","given":"Oliver"}],"citation-label":"Sahrmann2024c","collection-editor":[],"collection-title":"","container-author":[],"container-title":"Frontiers in Bioengineering and Biotechnology","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2024"]],"literal":"2024"},"event-place":"","id":"1c09ad3a57d45986105107c77d0da5cfinspo5","interhash":"539e1f9768e937f368f3546f4de55813","intrahash":"1c09ad3a57d45986105107c77d0da5cf","issue":"","issued":{"date-parts":[["2024"]],"literal":"2024"},"keyword":"3d contraction deformation dynamic fibres image movement muscle processing shape ultrasound","misc":{"issn":"2296-4185","doi":"10.3389/fbioe.2024.1388907"},"note":"","number":"","page":"","page-first":"","publisher":"","publisher-place":"","status":"","title":"Determination of muscle shape deformations of the tibialis anterior during dynamic contractions using 3D ultrasound","type":"article-journal","username":"inspo5","version":"","volume":"12"},"1947549f0f7295e064e79f467f085d7binspo5":{"DOI":"10.3389/fbioe.2024.1388907","ISBN":"","ISSN":"","URL":"https://www.frontiersin.org/articles/10.3389/fbioe.2024.1388907/full?&utm_source=Email_to_authors_&utm_medium=Email&utm_content=T1_11.5e1_author&utm_campaign=Email_publication&field=&journalName=Frontiers_in_Bioengineering_and_Biotechnology&id=1388907","abstract":"Purpose: In this paper, we introduce a novel method for determining 3D deformations of the human tibialis anterior (TA) muscle during dynamic movements using 3D ultrasound.\r\n\r\nMaterials and Methods: An existing automated 3D ultrasound system is used for data acquisition, which consists of three moveable axes, along which the probe can move. While the subjects perform continuous plantar- and dorsiflexion movements in two different controlled velocities, the ultrasound probe sweeps cyclically from the ankle to the knee along the anterior shin. The ankle joint angle can be determined using reflective motion capture markers. Since we considered the movement direction of the foot, i.e., active or passive TA, four conditions occur: slow active, slow passive, fast active, fast passive. By employing an algorithm which defines ankle joint angle intervals, i.e., intervals of range of motion (ROM), 3D images of the volumes during movement can be reconstructed.\r\n\r\nResults: We found constant muscle volumes between different muscle lengths, i.e., ROM intervals. The results show an increase in mean cross-sectional area (CSA) for TA muscle shortening. Furthermore, a shift in maximum CSA towards the proximal side of the muscle could be observed for muscle shortening. We found significantly different maximum CSA values between the fast active and all other conditions, which might be caused by higher muscle activation due to the faster velocity.\r\n\r\nConclusion: In summary, we present a method for determining muscle volume deformation during dynamic contraction using ultrasound, which will enable future empirical studies and 3D computational models of skeletal muscles.","annote":"","author":[],"citation-label":"siebert2024determination","collection-editor":[{"family":"Siebert","given":"Tobias"}],"collection-title":"","container-author":[{"family":"Siebert","given":"Tobias"}],"container-title":"Frontiers in Bioengineering and Biotechnology","documents":[],"edition":"","editor":[{"family":"Siebert","given":"Tobias"}],"event-date":{"date-parts":[["2024","June"]],"literal":"2024"},"event-place":"","id":"1947549f0f7295e064e79f467f085d7binspo5","interhash":"277676c63d8a348032cb6102b6abeb37","intrahash":"1947549f0f7295e064e79f467f085d7b","issue":"","issued":{"date-parts":[["2024","June"]],"literal":"2024"},"keyword":"3D contraction deformation dynamic image movement muscle processing ultrasound","misc":{"language":"English","doi":"10.3389/fbioe.2024.1388907"},"note":"","number":"","page":"","page-first":"","publisher":"","publisher-place":"","status":"","title":"Determination of muscle shape deformations of the tibialis anterior during dynamic contractions using 3D ultrasound.\r\nFront. Bioeng. Biotechnol. 12:1388907.","type":"article-journal","username":"inspo5","version":"","volume":"12"},"d627d1373c83b8831d4db9c14e3feadbinspo5":{"DOI":"10.1007/s10237-024-01837-3","ISBN":"","ISSN":"1617-7940","URL":"https://doi.org/10.1007/s10237-024-01837-3","abstract":"Architectural parameters of skeletal muscle such as pennation angle provide valuable information on muscle function, since they can be related to the muscle force generating capacity, fiber packing, and contraction velocity. In this paper, we introduce a 3D ultrasound-based workflow for determining 3D fascicle orientations of skeletal muscles. We used a custom-designed automated motor driven 3D ultrasound scanning system for obtaining 3D ultrasound images. From these, we applied a custom-developed multiscale-vessel enhancement filter-based fascicle detection algorithm and determined muscle volume and pennation angle. We conducted trials on a phantom and on the human tibialis anterior (TA) muscle of 10 healthy subjects in plantarflexion (157 ± 7\\$\\$^\\backslashcirc\\$\\$), neutral position (109 ± 7\\$\\$^\\backslashcirc\\$\\$, corresponding to neutral standing), and one resting position in between (145 ± 6\\$\\$^\\backslashcirc\\$\\$). The results of the phantom trials showed a high accuracy with a mean absolute error of 0.92 ± 0.59\\$\\$^\\backslashcirc\\$\\$. TA pennation angles were significantly different between all positions for the deep muscle compartment; for the superficial compartment, angles are significantly increased for neutral position compared to plantarflexion and resting position. Pennation angles were also significantly different between superficial and deep compartment. The results of constant muscle volumes across the 3 ankle joint angles indicate the suitability of the method for capturing 3D muscle geometry. Absolute pennation angles in our study were slightly lower than recent literature. Decreased pennation angles during plantarflexion are consistent with previous studies. The presented method demonstrates the possibility of determining 3D fascicle orientations of the TA muscle in vivo.","annote":"","author":[{"family":"Sahrmann","given":"Annika S."},{"family":"Vosse","given":"Lukas"},{"family":"Siebert","given":"Tobias"},{"family":"Handsfield","given":"Geoffrey G."},{"family":"Röhrle","given":"Oliver"}],"citation-label":"Sahrmann2024","collection-editor":[{"family":"Siebert","given":"Tobias"}],"collection-title":"","container-author":[{"family":"Siebert","given":"Tobias"}],"container-title":"Biomechanics and Modeling in Mechanobiology","documents":[],"edition":"","editor":[{"family":"Siebert","given":"Tobias"}],"event-date":{"date-parts":[["2024","mar","26"]],"literal":"2024"},"event-place":"","id":"d627d1373c83b8831d4db9c14e3feadbinspo5","interhash":"98fb95294493de86e2fff35735a2a27a","intrahash":"d627d1373c83b8831d4db9c14e3feadb","issue":"","issued":{"date-parts":[["2024","mar","26"]],"literal":"2024"},"keyword":"3D Image Inspo PN2-8 Pennation Siebert Skeletal angle architecture muscle processing ultrasound","misc":{"issn":"1617-7940","doi":"10.1007/s10237-024-01837-3"},"note":"","number":"","page":"","page-first":"","publisher":"","publisher-place":"","status":"","title":"3D ultrasound-based determination of skeletal muscle fascicle orientations","type":"article-journal","username":"inspo5","version":"","volume":""},"1372dda5d2e196bea050f33d2f56d51aisw-bibliothek":{"DOI":"","ISBN":"","ISSN":"","URL":"","abstract":"For seam tracking in arc welding several sensors are used. Different tasks in welding automation lead to different sensors. Most sensors for welding automation don't have problems with the seam tracking, on the other hand there is the control of the welding process itself. For this job optical sensors are the best choice because they are able to provide the complete groove geometry. Combining arc welding and optical sensors causes naturally distortions in the sensor signal. Different methods for reducing these kind of distortions will be presented in the following paper. Beginning with mechanical and optical shielding, the use of different lasers and the variation of mechanical parameters. The physical shielding strategies help reducing the distortions but can not ensure a useable image of the welding groove. Therefore filter algorithms have to be applied to the sensor signals. High real time requirements effort expensive multiprocessor systems to cope the data rates. Therefore it is essential that the applied algorithms can be implemented on highly integrated logic ICs (FPGA). These programmable logic devices have been developed offering the same performance at a drastically lower price making laser stripe sensors attractive for cost sensitive applications in heavy industry. Image processing algorithms approved in other fields applied with the new FPGA hardware result in an extreme improvement in welding groove detection. Improvement in sensor use by welding automation is quantified using experimental data.","annote":"","author":[{"family":"Pritschow, G.","given":"Horber H. Müller S."}],"citation-label":"Pritschow2002","collection-editor":[],"collection-title":"","container-author":[],"container-title":"","documents":[],"edition":"","editor":[],"event-date":{"date-parts":[["2002"]],"literal":"2002"},"event-place":"","id":"1372dda5d2e196bea050f33d2f56d51aisw-bibliothek","interhash":"66df54ae238f82ead0995309367d5228","intrahash":"1372dda5d2e196bea050f33d2f56d51a","issue":"","issued":{"date-parts":[["2002"]],"literal":"2002"},"keyword":"ISW automation, image laser processing sensor, welding","misc":{"__markedentry":"[xtl:6]"},"note":"","number":"","page":"--","page-first":"","publisher":"","publisher-place":"","status":"","title":"Fast and robust image processing for laser stripe-sensors in arc welding automation.Proceedings of the ISIE 2002, Paper No. 139. L'Aquila, 8.-11. Juni 2002. Fast and robust image processing for laser stripe-sensors in arc welding automation.Proceedings of the ISIE 2002, Paper No. 139. L'Aquila, 8.-11. Juni 2002.","type":"article","username":"isw-bibliothek","version":"","volume":""}}