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      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/25a39b0fd9709734235f00bc5b8c7564a/inspo5",         
         "tags" : [
            "Knee","rotation","Motor","motion","capture","Hereditary","Hip","3D","gait","sensory","Kinematics","Pathological","and","neuropathy"
         ],
         
         "intraHash" : "5a39b0fd9709734235f00bc5b8c7564a",
         "interHash" : "b65b81e29547880164f9aecf3256556a",
         "label" : "A comparison of lower body gait kinematics and kinetics between Theia3D markerless and marker-based models in healthy subjects and clinical patients",
         "user" : "inspo5",
         "description" : "",
         "date" : "2024-11-28 10:20:07",
         "changeDate" : "2024-11-28 13:09:38",
         "count" : 2,
         "pub-type": "article",
         "journal": "Scientific Reports",
         "year": " 2024", 
         "url": "/brokenurl# https://www.nature.com/articles/s41598-024-80499-8", 
         
         "author": [ 
            "Sonia D'Souza","Tobias Siebert","Vincent Fohanno"
         ],
         "authors": [
         	
            	{"first" : "Sonia",	"last" : "D'Souza"},
            	{"first" : "Tobias",	"last" : "Siebert"},
            	{"first" : "Vincent",	"last" : "Fohanno"}
         ],
         
         "editor": [ 
            "Tobias Siebert"
         ],
         "editors": [
         	
            	{"first" : "Tobias",	"last" : "Siebert"}
         ],
         "number": "29154","abstract": "Three-dimensional (3D) marker-based motion capture is the current gold standard to assess and monitor pathological gait in a clinical setting. However, 3D markerless motion capture based on pose estimation is advancing into the field of gait analysis. This study aims at evaluating the lower-body 3D gait kinematics and kinetics from synchronously recorded Theia3D markerless and CAST marker-based systems. Twelve healthy individuals and 34 clinical patients aged 8\u201361 years walked at self-selected speed over a 13 m long walkway. Similarity between models was statistically analysed using inter-trial variability, root mean square error, Pearson\u2019s correlation coefficient and Statistical Parametric Mapping. Inter-trial variability was on average higher for clinical patients in both models. Overall, the markerless system demonstrated similar gait patterns although hip and knee rotations were non-comparable. Pelvic anterior tilt was significantly underestimated. Significant differences especially in peak values at specific phases of the gait cycle were observed across all planes for all joints (more so for clinical patients than healthy subjects) as well as in the sagittal powers of the hip, knee and ankle. Theia3D markerless system offers great potential in gait analysis. This study brings awareness to potential clinical users and researchers where they can have confidence, as well as areas where caution should be exercised.",
         "doi" : "s41598-024-80499-8",
         
         "bibtexKey": "dsouza2024comparison"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/21c09ad3a57d45986105107c77d0da5cf/inspo5",         
         "tags" : [
            "3d","image","fibres","shape","muscle","deformation","processing","contraction","dynamic","movement","ultrasound"
         ],
         
         "intraHash" : "1c09ad3a57d45986105107c77d0da5cf",
         "interHash" : "539e1f9768e937f368f3546f4de55813",
         "label" : "Determination of muscle shape deformations of the tibialis anterior during dynamic contractions using 3D ultrasound",
         "user" : "inspo5",
         "description" : "",
         "date" : "2024-07-05 14:59:56",
         "changeDate" : "2024-07-18 11:02:59",
         "count" : 7,
         "pub-type": "article",
         "journal": "Frontiers in Bioengineering and Biotechnology",
         "year": "2024", 
         "url": "https://www.frontiersin.org/articles/10.3389/fbioe.2024.1388907", 
         
         "author": [ 
            "Annika S. Sahrmann","Lukas Vosse","Tobias Siebert","Geoffrey G. Handsfield","Oliver Röhrle"
         ],
         "authors": [
         	
            	{"first" : "Annika S.",	"last" : "Sahrmann"},
            	{"first" : "Lukas",	"last" : "Vosse"},
            	{"first" : "Tobias",	"last" : "Siebert"},
            	{"first" : "Geoffrey G.",	"last" : "Handsfield"},
            	{"first" : "Oliver",	"last" : "Röhrle"}
         ],
         "volume": "12",
         "issn" : "2296-4185",
         
         "doi" : "10.3389/fbioe.2024.1388907",
         
         "bibtexKey": "Sahrmann2024c"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/21947549f0f7295e064e79f467f085d7b/inspo5",         
         "tags" : [
            "3D","image","muscle","deformation","processing","contraction","dynamic","movement","ultrasound"
         ],
         
         "intraHash" : "1947549f0f7295e064e79f467f085d7b",
         "interHash" : "277676c63d8a348032cb6102b6abeb37",
         "label" : "Determination of muscle shape deformations of the tibialis anterior during dynamic contractions using 3D ultrasound.\r\nFront. Bioeng. Biotechnol. 12:1388907.",
         "user" : "inspo5",
         "description" : "",
         "date" : "2024-06-05 15:26:27",
         "changeDate" : "2024-07-16 12:38:53",
         "count" : 3,
         "pub-type": "article",
         "journal": "Frontiers in Bioengineering and Biotechnology",
         "year": "2024", 
         "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", 
         
         "editor": [ 
            "Tobias Siebert"
         ],
         "editors": [
         	
            	{"first" : "Tobias",	"last" : "Siebert"}
         ],
         "volume": "12","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.",
         "language" : "English",
         
         "doi" : "10.3389/fbioe.2024.1388907",
         
         "bibtexKey": "siebert2024determination"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2d627d1373c83b8831d4db9c14e3feadb/inspo5",         
         "tags" : [
            "Image","Skeletal","ultrasound","3D","Inspo","PN2-8","Pennation","muscle","angle","processing","Siebert","architecture"
         ],
         
         "intraHash" : "d627d1373c83b8831d4db9c14e3feadb",
         "interHash" : "98fb95294493de86e2fff35735a2a27a",
         "label" : "3D ultrasound-based determination of skeletal muscle fascicle orientations",
         "user" : "inspo5",
         "description" : "",
         "date" : "2024-04-02 12:17:45",
         "changeDate" : "2024-07-16 12:43:09",
         "count" : 5,
         "pub-type": "article",
         "journal": "Biomechanics and Modeling in Mechanobiology",
         "year": "2024", 
         "url": "https://doi.org/10.1007/s10237-024-01837-3", 
         
         "author": [ 
            "Annika S. Sahrmann","Lukas Vosse","Tobias Siebert","Geoffrey G. Handsfield","Oliver Röhrle"
         ],
         "authors": [
         	
            	{"first" : "Annika S.",	"last" : "Sahrmann"},
            	{"first" : "Lukas",	"last" : "Vosse"},
            	{"first" : "Tobias",	"last" : "Siebert"},
            	{"first" : "Geoffrey G.",	"last" : "Handsfield"},
            	{"first" : "Oliver",	"last" : "Röhrle"}
         ],
         
         "editor": [ 
            "Tobias Siebert"
         ],
         "editors": [
         	
            	{"first" : "Tobias",	"last" : "Siebert"}
         ],
         "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.",
         "issn" : "1617-7940",
         
         "doi" : "10.1007/s10237-024-01837-3",
         
         "bibtexKey": "Sahrmann2024"

      }
	  
   ]
}
