Patients with Crohn’s disease(CD)are at a considerable risk for intestinal surgery.Approximately 25%of patients with CD will undergo an intestinal resection within 10 years of diagnosis.Postoperative complications af...Patients with Crohn’s disease(CD)are at a considerable risk for intestinal surgery.Approximately 25%of patients with CD will undergo an intestinal resection within 10 years of diagnosis.Postoperative complications after CD surgery have been reported in 20%-47%of the patients.Both general and CD-related risk factors are associated with postoperative complications,and comprise non-modifiable(e.g.,age)and potentially modifiable risk factors(e.g.,malnutrition).Prehabilitation focuses on the preoperative period with strategies designed to optimize modifiable risk factors concerning the physical and mental condition of the individual patient.The aim of prehabilitation is to enhance postoperative recovery and return to or even improve preoperative functional capacity.Preoperative improvement of nutritional status,physical fitness,cessation of smoking,psychological support,and critical revision of preoperative use of CD medication are important strategies.Studies of the effect on postoperative outcome in CD patients are scarce,and guidelines lack recommendations on tailored management.In this opinion review,we review the current evidence on the impact of screening and management of nutritional status,physical fitness,CD medication and laboratory values on the postoperative course following an intestinal resection in CD patients.In addition,we aim to provide guidance for individualized multimodal prehabilitation in clinical practice concerning these modifiable factors.展开更多
Visual tracking is a challenging problem in computer vision. Recently, correlation filter-based trackers have shown to provide excellent tracking performance. Inspired by a sample consensus approach proposed for foreg...Visual tracking is a challenging problem in computer vision. Recently, correlation filter-based trackers have shown to provide excellent tracking performance. Inspired by a sample consensus approach proposed for foreground detection, which classifies a given pixel as foreground or background based on its similarity to recently observed samples, we present a template consensus tracker based on the kernelized correlation filter (KCF). Instead of keeping only one target appearance model in the KCF, we make a feature pool to keep several target appearance models in our method and predict the new target position by searching for the location of the maximal value of the response maps. Both quantitative and qualitative evaluations are performed on the CVPR2013 tracking benchmark dataset. The results show that our proposed method improves the original KCF tracker by 8.17% in the success plot and 8.11% in the precision plot.展开更多
A 24-year-old female working in the Department of Pathology of a University Hospital developed an acute peri-ocular eczemaclearly being related to her daily work at the microscope.Patch testing revealed delayed type h...A 24-year-old female working in the Department of Pathology of a University Hospital developed an acute peri-ocular eczemaclearly being related to her daily work at the microscope.Patch testing revealed delayed type hypersensitivity against the black rubber mix,N-isopropyl-N’-phenyl paraphenylenediamine,Ncyclohexyl-N’-phenyl paraphenylenediamine and the rubberring situated on the ocular of the respective microscope.This is the first report,to our knowledge,on peri-orbital allergic contact eczema because of sensitization with rubber components of amicroscope.展开更多
Cooperative target identification is the prerequisite for the relative position and orientation measurement between the space robot arm and the to-be-arrested object. We propose an on- orbit real-time robust algorithm...Cooperative target identification is the prerequisite for the relative position and orientation measurement between the space robot arm and the to-be-arrested object. We propose an on- orbit real-time robust algorithm for cooperative target identification in complex background using the features of circle and lines. It first extracts only the interested edges in the target image using an adaptive threshold and refines them to about single-pixel-width with improved non-maximum suppression. Adapting a novel tracking approach, edge segments changing smoothly in tangential directions are obtained. With a small amount of calculation, large numbers of invalid edges are removed. From the few remained edges, valid circular arcs are extracted and reassembled to obtain circles according to a reliable criterion. Finally, the target is identified if there are certain numbers of straight lines whose relative positions with the circle match the known target pattern. Experiments demonstrate that the proposed algorithm accurately identifies the cooperative target within the range of 0.3 1.5 m under complex background at the speed of 8 frames per second, regardless of lighting condition and target attitude. The proposed algorithm is very suitable for real-time visual measurement of space robot arm because of its robustness and small memory requirement.展开更多
We present an efficient implementation of volumetric anisotropic image diffusion filters on modern programmable graphics processing units(GPUs),where the mathematics behind volumetric diffusion is effectively reduced ...We present an efficient implementation of volumetric anisotropic image diffusion filters on modern programmable graphics processing units(GPUs),where the mathematics behind volumetric diffusion is effectively reduced to the diffusion in 2D images.We hereby avoid the computational bottleneck of a time consuming eigenvalue decomposition in R3.Instead,we use a projection of the Hessian matrix along the surface normal onto the tangent plane of the local isodensity surface and solve for the remaining two tangent space eigenvectors.We derive closed formulas to achieve this and prevent the GPU code from branching.We show that our most complex volumetric anisotropic diffusion filters gain a speed up of more than 600 compared to a CPU solution.展开更多
We show how to overcome the single weakness of an existing fully automatic system for acquisition of spatially varying optical material behavior of real object surfaces. While the expression of spatially varying mater...We show how to overcome the single weakness of an existing fully automatic system for acquisition of spatially varying optical material behavior of real object surfaces. While the expression of spatially varying material behavior with spherical dependence on incoming light as a 4D texture(an ABTF material model) allows flexible mapping onto arbitrary 3D geometry, with photo-realistic rendering and interaction in real time,this very method of texture-like representation exposes it to common problems of texturing, striking in two disadvantages. Firstly, non-seamless textures create visible artifacts at boundaries. Secondly, even a perfectly seamless texture causes repetition artifacts due to their organised placement in large numbers over a 3D surface. We have solved both problems through our novel texture synthesis method that generates a set of seamless texture variations randomly distributed over the surface at shading time. When compared to regular 2D textures, the inter-dimensional coherence of the 4D ABTF material model poses entirely new challenges to texture synthesis, which includes maintaining the consistency of material behavior throughout the 4D space spanned by the spatial image domain and the angular illumination hemisphere. In addition, we tackle the increased memory consumption caused by the numerous variations through a fitting scheme specifically designed to reconstruct the most prominent effects captured in the material model.展开更多
文摘Patients with Crohn’s disease(CD)are at a considerable risk for intestinal surgery.Approximately 25%of patients with CD will undergo an intestinal resection within 10 years of diagnosis.Postoperative complications after CD surgery have been reported in 20%-47%of the patients.Both general and CD-related risk factors are associated with postoperative complications,and comprise non-modifiable(e.g.,age)and potentially modifiable risk factors(e.g.,malnutrition).Prehabilitation focuses on the preoperative period with strategies designed to optimize modifiable risk factors concerning the physical and mental condition of the individual patient.The aim of prehabilitation is to enhance postoperative recovery and return to or even improve preoperative functional capacity.Preoperative improvement of nutritional status,physical fitness,cessation of smoking,psychological support,and critical revision of preoperative use of CD medication are important strategies.Studies of the effect on postoperative outcome in CD patients are scarce,and guidelines lack recommendations on tailored management.In this opinion review,we review the current evidence on the impact of screening and management of nutritional status,physical fitness,CD medication and laboratory values on the postoperative course following an intestinal resection in CD patients.In addition,we aim to provide guidance for individualized multimodal prehabilitation in clinical practice concerning these modifiable factors.
基金supported by the National Natural Science Foundation of China(No.61401425)
文摘Visual tracking is a challenging problem in computer vision. Recently, correlation filter-based trackers have shown to provide excellent tracking performance. Inspired by a sample consensus approach proposed for foreground detection, which classifies a given pixel as foreground or background based on its similarity to recently observed samples, we present a template consensus tracker based on the kernelized correlation filter (KCF). Instead of keeping only one target appearance model in the KCF, we make a feature pool to keep several target appearance models in our method and predict the new target position by searching for the location of the maximal value of the response maps. Both quantitative and qualitative evaluations are performed on the CVPR2013 tracking benchmark dataset. The results show that our proposed method improves the original KCF tracker by 8.17% in the success plot and 8.11% in the precision plot.
文摘A 24-year-old female working in the Department of Pathology of a University Hospital developed an acute peri-ocular eczemaclearly being related to her daily work at the microscope.Patch testing revealed delayed type hypersensitivity against the black rubber mix,N-isopropyl-N’-phenyl paraphenylenediamine,Ncyclohexyl-N’-phenyl paraphenylenediamine and the rubberring situated on the ocular of the respective microscope.This is the first report,to our knowledge,on peri-orbital allergic contact eczema because of sensitization with rubber components of amicroscope.
基金supported by the National Basic Research Program of China (No. 2013CB733103)
文摘Cooperative target identification is the prerequisite for the relative position and orientation measurement between the space robot arm and the to-be-arrested object. We propose an on- orbit real-time robust algorithm for cooperative target identification in complex background using the features of circle and lines. It first extracts only the interested edges in the target image using an adaptive threshold and refines them to about single-pixel-width with improved non-maximum suppression. Adapting a novel tracking approach, edge segments changing smoothly in tangential directions are obtained. With a small amount of calculation, large numbers of invalid edges are removed. From the few remained edges, valid circular arcs are extracted and reassembled to obtain circles according to a reliable criterion. Finally, the target is identified if there are certain numbers of straight lines whose relative positions with the circle match the known target pattern. Experiments demonstrate that the proposed algorithm accurately identifies the cooperative target within the range of 0.3 1.5 m under complex background at the speed of 8 frames per second, regardless of lighting condition and target attitude. The proposed algorithm is very suitable for real-time visual measurement of space robot arm because of its robustness and small memory requirement.
文摘We present an efficient implementation of volumetric anisotropic image diffusion filters on modern programmable graphics processing units(GPUs),where the mathematics behind volumetric diffusion is effectively reduced to the diffusion in 2D images.We hereby avoid the computational bottleneck of a time consuming eigenvalue decomposition in R3.Instead,we use a projection of the Hessian matrix along the surface normal onto the tangent plane of the local isodensity surface and solve for the remaining two tangent space eigenvectors.We derive closed formulas to achieve this and prevent the GPU code from branching.We show that our most complex volumetric anisotropic diffusion filters gain a speed up of more than 600 compared to a CPU solution.
基金partially supported by the European project MAXIMUS (No. FP7-ICT-2007-1-217039)the German Federal Ministry for Economic Affairs and Energy project Cult Lab3D (No. 01MT12022E)
文摘We show how to overcome the single weakness of an existing fully automatic system for acquisition of spatially varying optical material behavior of real object surfaces. While the expression of spatially varying material behavior with spherical dependence on incoming light as a 4D texture(an ABTF material model) allows flexible mapping onto arbitrary 3D geometry, with photo-realistic rendering and interaction in real time,this very method of texture-like representation exposes it to common problems of texturing, striking in two disadvantages. Firstly, non-seamless textures create visible artifacts at boundaries. Secondly, even a perfectly seamless texture causes repetition artifacts due to their organised placement in large numbers over a 3D surface. We have solved both problems through our novel texture synthesis method that generates a set of seamless texture variations randomly distributed over the surface at shading time. When compared to regular 2D textures, the inter-dimensional coherence of the 4D ABTF material model poses entirely new challenges to texture synthesis, which includes maintaining the consistency of material behavior throughout the 4D space spanned by the spatial image domain and the angular illumination hemisphere. In addition, we tackle the increased memory consumption caused by the numerous variations through a fitting scheme specifically designed to reconstruct the most prominent effects captured in the material model.
