干旱区生态环境知识资源中心(Arid): Exponential-Distance Weights for Reducing Grid-like Artifacts in Patch-Based Medical Image Registration

Arid

DOI	10.3390/s21217112
	Exponential-Distance Weights for Reducing Grid-like Artifacts in Patch-Based Medical Image Registration
	Wu, Liang; Hu, Shunbo; Liu, Changchun
通讯作者	Liu, CC (corresponding author), Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China. ; Hu, SB (corresponding author), Linyi Univ, Sch Informat Sci & Engn, Linyi 276005, Shandong, Peoples R China.
来源期刊	SENSORS
EISSN	1424-8220
出版年	2021
卷号	21 期号:21
英文摘要	Patch-based medical image registration has been well explored in recent decades. However, the patch fusion process can generate grid-like artifacts along the edge of patches for the following two reasons: firstly, in order to ensure the same size of input and output, zero-padding is used, which causes uncertainty in the edges of the output feature map during the feature extraction process; secondly, the sliding window extraction patch with different strides will result in different degrees of grid-like artifacts. In this paper, we propose an exponential-distance-weighted (EDW) method to remove grid-like artifacts. To consider the uncertainty of predictions near patch edges, we used an exponential function to convert the distance from the point in the overlapping regions to the center point of the patch into a weighting coefficient. This gave lower weights to areas near the patch edges, to decrease the uncertainty predictions. Finally, the dense displacement field was obtained by this EDW weighting method. We used the OASIS-3 dataset to evaluate the performance of our method. The experimental results show that the proposed EDW patch fusion method removed grid-like artifacts and improved the dice similarity coefficient superior to those of several state-of-the-art methods. The proposed fusion method can be used together with any patch-based registration model.
英文关键词	patch-based registration overlap distance exponential function
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000718520800001
WOS类目	Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS研究方向	Chemistry ; Engineering ; Instruments & Instrumentation
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/368211
作者单位	[Wu, Liang; Liu, Changchun] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China; [Hu, Shunbo] Linyi Univ, Sch Informat Sci & Engn, Linyi 276005, Shandong, Peoples R China
推荐引用方式 GB/T 7714	Wu, Liang,Hu, Shunbo,Liu, Changchun. Exponential-Distance Weights for Reducing Grid-like Artifacts in Patch-Based Medical Image Registration[J],2021,21(21).
APA	Wu, Liang,Hu, Shunbo,&Liu, Changchun.(2021).Exponential-Distance Weights for Reducing Grid-like Artifacts in Patch-Based Medical Image Registration.SENSORS,21(21).
MLA	Wu, Liang,et al."Exponential-Distance Weights for Reducing Grid-like Artifacts in Patch-Based Medical Image Registration".SENSORS 21.21(2021).