Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Yuchou Chang"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2019, Iss 1, Pp 1-8 (2019)
Abstract Parallel magnetic resonance imaging (MRI) technique is able to accelerate MRI speed for reducing costs and enhancing patient’s comfortability. Parallel MRI can be categorized into two types: image-based and k-space-based methods. For k-spa
Externí odkaz:
https://doaj.org/article/8fb895518cfb4132ad99f46480fc6b47
Autor:
Yuchou Chang
Publikováno v:
Healthcare Technology Letters (2019)
Accurate extraction of vessels plays an important role in assisting diagnosis, treatment, and surgical planning. The Otsu method has been used for extracting vessels in medical images. However, blood vessels in magnetic resonance angiography (MRA) im
Externí odkaz:
https://doaj.org/article/9022ef5327dd47fe859c712fef00176f
Autor:
Yuchou Chang
Publikováno v:
IET Cyber-Physical Systems (2019)
Human-in-the-loop robotic system is an emerging technique in recent years. Human intelligence as well as machine intelligence are incorporated to accomplish tasks efficiently and effectively. However, grasp-and-lift (GAL) tasks through human–robot
Externí odkaz:
https://doaj.org/article/14563bfd46974c8fb11f6226a9f4af4c
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022
Channel suppression can reduce the redundant information in multiple channel receiver coils and accelerate reconstruction speed to meet real-time imaging requirements. The principal component analysis has been used for channel suppression, but it is
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022
Ker NL is a general kernel-based framework for auto calibrated reconstruction method, which does not need any explicit formulas of the kernel function for characterizing nonlinear relationships between acquired and unacquired k-space data. It is non-
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
Autor:
Xin Liu, Leslie Ying, Yuchou Chang, Hairong Zheng, Haifeng Wang, Shi Su, Kevin F. King, Dong Liang
Publikováno v:
Medical Physics. 47:1579-1589
Purpose To develop a novel three-dimensional (3D) hybrid-encoding framework using compressed sensing (CS) and Toeplitz encoding with variable phase-scrambled radio-frequency (RF) excitation, which has the following advantages: low power deposition of
Publikováno v:
Magnetic resonance imaging. 92
Autocalibration signal is acquired in the k-space-based parallel MRI reconstruction for estimating interpolation coefficients and reconstructing missing unacquired data. Many ACS lines can suppress aliasing artifacts and noise by covering the low-fre
Autor:
Yuchou Chang, Ukash Nakarmi
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
As an inverse problem, parallel magnetic resonance imaging (pMRI) reconstruction accelerates imaging speed by interpolating missing k-space data from a group of phased-array coils. Deep learning methods have been used for improving pMRI reconstructio
Autor:
Yuchou Chang
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
Parallel magnetic resonance imaging (pMRI) accelerates data acquisition by undersampling k-space through an array of receiver coils. Finding accurate relationships between acquired and missing k-space data determines the interpolation performance and