Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Min-Xiong Zhou"'
Autor:
Min-xiong ZHOU, Hui-ting ZHANG, Yi-da WANG, Guang YANG, Xu-feng YAO, An-kang GAO, Jing-liang CHENG, Jie BAI, Xu YAN
Publikováno v:
Chinese Journal of Magnetic Resonance, Vol 39, Iss 02, Pp 220-229 (2022)
The joint application of multiple diffusion models on single sampled dataset is becoming a hot topic in clinical research. This study investigated the influence of the three data sampling schemes on the quantification of neural diffusion models. The
Externí odkaz:
https://doaj.org/article/96651a8bc7a1456994dbc2f0089feaaf
Autor:
Hua-Jun Chen, Chuanyin Zhan, Li-Min Cai, Jia-Hui Lin, Min-Xiong Zhou, Zhang-Yu Zou, Xu-Feng Yao, Yan-Juan Lin
Publikováno v:
NeuroImage: Clinical, Vol 32, Iss , Pp 102863- (2021)
Background: White matter (WM) impairment is a hallmark of amyotrophic lateral sclerosis (ALS). This study evaluated the capacity of mean apparent propagator magnetic resonance imaging (MAP-MRI) for detecting ALS-related WM alterations. Methods: Diffu
Externí odkaz:
https://doaj.org/article/958151db1b4a494ea993d190727fad14
Publikováno v:
PLoS ONE, Vol 10, Iss 2, p e0116986 (2015)
Image denoising has a profound impact on the precision of estimated parameters in diffusion kurtosis imaging (DKI). This work first proposes an approach to constructing a DKI phantom that can be used to evaluate the performance of denoising algorithm
Externí odkaz:
https://doaj.org/article/dd9b7a0f91f847c1899348b761aea5e7
Autor:
Jia-Hui Lin, Nao-Xin Huang, Chuanyin Zhan, Hua-Jun Chen, Li-Min Cai, Zhang-Yu Zou, Min-Xiong Zhou, Yuan-Fen Liu
Publikováno v:
Academic Radiology. 29:S141-S146
Rationale and Objectives To investigate the microperfusion and water molecule diffusion alterations in sensorimotor-related areas in amyotrophic lateral sclerosis (ALS) using intravoxel incoherent motion (IVIM) magnetic resonance imaging. Materials a
Autor:
Xiao Yong Zhang, Zhen Lu Yang, Li Ming Xia, Yi Qi Hu, Hui Ting Zhang, Tao Ai, Jia Huang, Chen Ao Zhan, Min Xiong Zhou
Publikováno v:
Frontiers in Oncology
Frontiers in Oncology, Vol 11 (2021)
Frontiers in Oncology, Vol 11 (2021)
Objectives: To evaluate the performance of readout-segmented echo-planar imaging DWI (rs-EPI DWI) in detecting and characterizing breast cancers in a large Chinese cohort with comparison to dynamic contrast-enhanced MRI (DCE-MRI).Methods: The institu
Autor:
Yan-Juan Lin, Jia-Hui Lin, Xu-Feng Yao, Hua-Jun Chen, Chuanyin Zhan, Li-Min Cai, Min-Xiong Zhou, Zhang-Yu Zou
Publikováno v:
NeuroImage: Clinical, Vol 32, Iss, Pp 102863-(2021)
NeuroImage : Clinical
NeuroImage : Clinical
Background: White matter (WM) impairment is a hallmark of amyotrophic lateral sclerosis (ALS). This study evaluated the capacity of mean apparent propagator magnetic resonance imaging (MAP-MRI) for detecting ALS-related WM alterations. Methods: Diffu
Autor:
Guang Yang, Mingxia Fan, Yong-Di Zhou, Lingfang Ying, Dongrong Xu, Dazhi Yin, Fan Song, Min-Xiong Zhou, Xu Yan
Publikováno v:
Computerized Medical Imaging and Graphics. 37:272-280
Diffusion kurtosis imaging (DKI) is a new method of magnetic resonance imaging (MRI) that provides non-Gaussian information that is not available in conventional diffusion tensor imaging (DTI). DKI requires data acquisition at multiple b-values for p
Publikováno v:
PLoS ONE, Vol 10, Iss 2, p e0116986 (2015)
PLoS ONE
PLoS ONE
Image denoising has a profound impact on the precision of estimated parameters in diffusion kurtosis imaging (DKI). This work first proposes an approach to constructing a DKI phantom that can be used to evaluate the performance of denoising algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1d1281b222e5290b950aad40085add8
Autor:
Guang Yang, Lingfang Ying, Min-Xiong Zhou, Wei Liu, Dongrong Xu, Bradley S. Peterson, Yong-Di Zhou, Dongmei Wu, Xu Yan
Publikováno v:
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 38(6)
Diffusion kurtosis imaging (DKI) is a new model in magnetic resonance imaging (MRI) characterizing restricted diffusion of water molecules in living tissues. We propose a method for fast estimation of the DKI parameters. These parameters – apparent
Publikováno v:
Advances in Neural Networks – ISNN 2013 ISBN: 9783642390647
ISNN (1)
ISNN (1)
To minimize image blurring and detail loss caused by denoising, we propose a novel method to exploit residual image. Firstly, we apply Non-local Means (NLM) filter to original image to get the denoised image and store the weights used for averaging.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d49e6f5defc011cefdd5689f39314f36
https://doi.org/10.1007/978-3-642-39065-4_79
https://doi.org/10.1007/978-3-642-39065-4_79