Fast surface and volume estimation from non-parallel cross-sections, for freehand three-dimensional ultrasound
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Computing Models from 3D Ultrasound
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Effect of knee joint angle on individual hamstrings morphology quantified using free-hand 3D ultrasonography
2022, Journal of Electromyography and KinesiologyCitation Excerpt :Information about position and orientation of the probe was controlled via a commercial software package (Stradwin [http://mi.eng.cam.ac.uk/rwp/stradwin], v.6.02, Mechanical Engineering, Cambridge University, Cambridge, UK). The US transducer and the electromagnetic position sensor were calibrated by scanning the floor of a flat-bottomed water bath, filled with water at a temperature of 35 °C and then using the US images and sensor data to calculate the 3-D position of each scan (Treece et al., 1999). Standardization of the US scanning path was performed by identifying the two ends of each muscle and then placing visual echo markers on the skin.
Reliability of Distal Hamstring Tendon Length and Cross-sectional Area Using 3-D Freehand Ultrasound
2021, Ultrasound in Medicine and BiologyCitation Excerpt :Further, spatial calibration was carried out by performing a minimum of three translational and three angular movements of the probe inside the water bath. The recorded data were then used for the transformation from the US scan plane to the receiver of the magnetic system (Treece et al. 1999). After the calibration procedure, pixel coordinates at any 2-D US images obtained were transformed into 3-D space with an approximate error of ±0.6 mm.
Muscle Architecture Assessment: Strengths, Shortcomings and New Frontiers of in Vivo Imaging Techniques
2018, Ultrasound in Medicine and BiologyCitation Excerpt :One of the major benefits of 3-DUS is that the 3-D muscle and central aponeurosis deformations during fixed-end contractions can be quantified in multiple planes. Muscle cross-sectional area, thickness and width changes in the human tibialis anterior have previously been determined up to 50% of maximum voluntary isometric contraction torque (Raiteri et al. 2016), after muscle and aponeurosis segmentations, the use of a shape-based paradigm (Treece et al. 2000) to interpolate a surface through the segmented muscle slices and to turn the muscle cross-sections into a 3-D triangle based model (Treece et al. 1999), and the implementation of a weighted principal component analysis to define the axes of the aponeurosis. The method of re-slicing the muscle in the transverse plane along the longitudinal axis of its central aponeurosis enables accurate measures of muscle thickness that might not be possible using a fixed image plane as in conventional B-mode ultrasound imaging, where the degree of measurement error is clearly influenced by the transducer alignment (Bolsterlee et al. 2016).
Freehand 3-D Ultrasound Imaging: A Systematic Review
2017, Ultrasound in Medicine and Biology