Zobrazeno 1 - 10
of 75 033
pro vyhledávání: '"Motion tracking"'
Autor:
Chen, Shengqi, Wang, Zilin, Dai, Jianrong, Qin, Shirui, Cao, Ying, Zhao, Ruiao, Chen, Jiayun, Wu, Guohua, Tang, Yuan
Objective: Ensuring the precision in motion tracking for MRI-guided Radiotherapy (MRIgRT) is crucial for the delivery of effective treatments. This study refined the motion tracking accuracy in MRIgRT through the innovation of an automatic real-time
Externí odkaz:
http://arxiv.org/abs/2411.07503
Quantitative analysis of cardiac motion is crucial for assessing cardiac function. This analysis typically uses imaging modalities such as MRI and Echocardiograms that capture detailed image sequences throughout the heartbeat cycle. Previous methods
Externí odkaz:
http://arxiv.org/abs/2410.20752
Real-time cone-beam computed tomography (CBCT) provides instantaneous visualization of patient anatomy for image guidance, motion tracking, and online treatment adaptation in radiotherapy. While many real-time imaging and motion tracking methods leve
Externí odkaz:
http://arxiv.org/abs/2409.04614
In this paper, we extend the Recurrent Inertial Graph-based Estimator (RING), a novel neural-network-based solution for Inertial Motion Tracking (IMT), to generalize across a large range of sampling rates, and we demonstrate that it can overcome four
Externí odkaz:
http://arxiv.org/abs/2409.02502
In this paper, we introduce SpaER, a pioneering method for fetal motion tracking that leverages equivariant filters and self-attention mechanisms to effectively learn spatio-temporal representations. Different from conventional approaches that static
Externí odkaz:
http://arxiv.org/abs/2407.20198
Cardiac motion tracking from echocardiography can be used to estimate and quantify myocardial motion within a cardiac cycle. It is a cost-efficient and effective approach for assessing myocardial function. However, ultrasound imaging has the inherent
Externí odkaz:
http://arxiv.org/abs/2407.04663
Autor:
Schmidt, Tobias1,2 (AUTHOR) lbk@tf.uni-kiel.de, Hoffmann, Johannes1 (AUTHOR) jph@tf.uni-kiel.de, Boueke, Moritz1 (AUTHOR) mobo@tf.uni-kiel.de, Bergholz, Robert3 (AUTHOR) robert.bergholz@uksh.de, Klinkenbusch, Ludger2 (AUTHOR), Schmidt, Gerhard1 (AUTHOR) gus@tf.uni-kiel.de
Publikováno v:
Sensors (14248220). Nov2024, Vol. 24 Issue 21, p6947. 20p.
Autor:
Trac, Jessica1 jessica.trac@mail.utoronto.ca, Jonguk Lee2,3, Kai-Ho Fok4,5, Carrillo, Brian6, Farcas, Monica4,5,7,8
Publikováno v:
Canadian Urological Association Journal. Apr2024, Vol. 18 Issue 4, p103-109. 22p.
Autor:
Dai, Peng, Zhang, Yang, Liu, Tao, Fan, Zhen, Du, Tianyuan, Su, Zhuo, Zheng, Xiaozheng, Li, Zeming
It is especially challenging to achieve real-time human motion tracking on a standalone VR Head-Mounted Display (HMD) such as Meta Quest and PICO. In this paper, we propose HMD-Poser, the first unified approach to recover full-body motions using scal
Externí odkaz:
http://arxiv.org/abs/2403.03561
We aim to perform sound event localization and detection (SELD) using wearable equipment for a moving human, such as a pedestrian. Conventional SELD tasks have dealt only with microphone arrays located in static positions. However, self-motion with t
Externí odkaz:
http://arxiv.org/abs/2403.01670