Pulmonary vessels extraction is a challenging task in clinical medicine. Many pulmonary diseases are accompanied by the changes of vessel diameters. The vessels and their branches, which exhibit much variability, are ...Pulmonary vessels extraction is a challenging task in clinical medicine. Many pulmonary diseases are accompanied by the changes of vessel diameters. The vessels and their branches, which exhibit much variability, are most important in performing diagnosis and planning the follow-up therapies. In this paper, we propose an efficient approach to pulmonary vessels extraction based on the curve evolution. This approach models the vessels as monotonically marching front under the speed field integrating both the region and the edge information where a new region speed function is designed and integrated with the edge based speed function. Due to the region based speed term, the front could even propagate in small narrow vessel branches. To further improve the segmentation results, a multi-initial fast marching algorithm is developed to fast implement the numerical solution, which may avoid the monotonically marching front leaking out of the weak boundary too earlier and also reduce the computational cost. The validity of our approach is demonstrated by CT pulmonary vessels extraction. Experiments show that the segmentation results by our approach, especially on the narrow thin vessel branches extraction, are more precise than that of the existing method.展开更多
Understanding the interactions(synergies and trade-offs)among the Sustainable Development Goals(SDGs)is crucial for enhancing policy coherence between different sectors.However,spatial differences in the SDG interacti...Understanding the interactions(synergies and trade-offs)among the Sustainable Development Goals(SDGs)is crucial for enhancing policy coherence between different sectors.However,spatial differences in the SDG interactions and their temporal variations at the sub-national scale are still critical gaps that need to be urgently filled.Here,we assess the spatial and temporal variation of the SDG interactions in China based on the systematic classification framework of SDGs.The framework groups the seventeen SDGs into three categories,namely“Essential Needs”“Objectives”,and“Governance”.Spatially,we found that the SDGs in“Essential Needs”&“Objectives”and“Essential Needs”&“Governance”generally show trade-offs in the eastern provinces of China.Synergies among all three SDG categories are observed in some central and western China provinces,which implies that these regions conform to sustainable development patterns.In addition,temporally,the synergies of the three SDG categories have shown a weakening trend in the last decade,mainly due to the regional differences in the progress of SDG7(Affordable and Clean Energy).Overall,our results identify the necessity for provinces to enhance the synergies between SDG12(Responsible Production and Consumption)and other SDGs to tackle the trade-offs between the“Essential Needs”and“Objectives”.Meanwhile,promoting the progress of SDG7 will also contribute to balanced development across provinces.展开更多
基金Supported by the national Natural Science Foundation of China under Grant No.6 0 2 710 2 2 and the Creative Research Group Science Foundation of China under Grant No.6 0 0 2 4 30 1
文摘Pulmonary vessels extraction is a challenging task in clinical medicine. Many pulmonary diseases are accompanied by the changes of vessel diameters. The vessels and their branches, which exhibit much variability, are most important in performing diagnosis and planning the follow-up therapies. In this paper, we propose an efficient approach to pulmonary vessels extraction based on the curve evolution. This approach models the vessels as monotonically marching front under the speed field integrating both the region and the edge information where a new region speed function is designed and integrated with the edge based speed function. Due to the region based speed term, the front could even propagate in small narrow vessel branches. To further improve the segmentation results, a multi-initial fast marching algorithm is developed to fast implement the numerical solution, which may avoid the monotonically marching front leaking out of the weak boundary too earlier and also reduce the computational cost. The validity of our approach is demonstrated by CT pulmonary vessels extraction. Experiments show that the segmentation results by our approach, especially on the narrow thin vessel branches extraction, are more precise than that of the existing method.
基金supported by the National Natural Science Foundation of China(41991230)the National Key Research and Development Program of China(2017YFA0604701)+1 种基金Prajal Pradhan acknowledges funding from the German Federal Ministry of Education and Research for the BIOCLIMAPATHS project(01LS1906A)under the Axis-ERANET callreviewed by Ministry of Natural Resources of the People’s Republic of China(GS(2021)8701)。
文摘Understanding the interactions(synergies and trade-offs)among the Sustainable Development Goals(SDGs)is crucial for enhancing policy coherence between different sectors.However,spatial differences in the SDG interactions and their temporal variations at the sub-national scale are still critical gaps that need to be urgently filled.Here,we assess the spatial and temporal variation of the SDG interactions in China based on the systematic classification framework of SDGs.The framework groups the seventeen SDGs into three categories,namely“Essential Needs”“Objectives”,and“Governance”.Spatially,we found that the SDGs in“Essential Needs”&“Objectives”and“Essential Needs”&“Governance”generally show trade-offs in the eastern provinces of China.Synergies among all three SDG categories are observed in some central and western China provinces,which implies that these regions conform to sustainable development patterns.In addition,temporally,the synergies of the three SDG categories have shown a weakening trend in the last decade,mainly due to the regional differences in the progress of SDG7(Affordable and Clean Energy).Overall,our results identify the necessity for provinces to enhance the synergies between SDG12(Responsible Production and Consumption)and other SDGs to tackle the trade-offs between the“Essential Needs”and“Objectives”.Meanwhile,promoting the progress of SDG7 will also contribute to balanced development across provinces.
