The Experts below are selected from a list of 399879 Experts worldwide ranked by ideXlab platform
Hiroshi Date - One of the best experts on this subject based on the ideXlab platform.
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Resection Process Map: A novel Dynamic Simulation system for pulmonary resection.
The Journal of thoracic and cardiovascular surgery, 2019Co-Authors: Junko Tokuno, Toyofumi F. Chen-yoshikawa, Megumi Nakao, Tetsuya Matsuda, Hiroshi DateAbstract:Abstract Objective Use of 3-dimensional computed tomography for preoperative and intraoperative Simulation has been introduced in the field of thoracic surgery. However, 3-dimensional computed tomography provides only static Simulation, which is a significant limitation of surgical Simulation. Dynamic Simulation, reflecting the intraoperative deformation of the lung, has not been developed. The aim of this study was to develop a novel Simulation system that generates Dynamic images based on patient-specific computed tomography data. Methods We developed an original software, the Resection Process Map, for anatomic pulmonary resection. The Resection Process Map semi-automatically generates virtual Dynamic images based on patient-specific computed tomography data. We retrospectively evaluated its accuracy in 18 representative cases by comparing the virtual Dynamic images with the actual surgical images. Results In this study, 9 patients who underwent lobectomy and 9 patients who underwent segmentectomy were included. For each case, a virtual Dynamic image was successfully generated semi-automatically by the Resection Process Map. The Resection Process Map accurately delineated 98.6% of vessel branches and all the bronchi. The median time required to obtain the images was 121.3 seconds. Conclusions We successfully developed a novel Dynamic Simulation system, the Resection Process Map, for anatomic pulmonary resection.
Junko Tokuno - One of the best experts on this subject based on the ideXlab platform.
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Resection Process Map: A novel Dynamic Simulation system for pulmonary resection.
The Journal of thoracic and cardiovascular surgery, 2019Co-Authors: Junko Tokuno, Toyofumi F. Chen-yoshikawa, Megumi Nakao, Tetsuya Matsuda, Hiroshi DateAbstract:Abstract Objective Use of 3-dimensional computed tomography for preoperative and intraoperative Simulation has been introduced in the field of thoracic surgery. However, 3-dimensional computed tomography provides only static Simulation, which is a significant limitation of surgical Simulation. Dynamic Simulation, reflecting the intraoperative deformation of the lung, has not been developed. The aim of this study was to develop a novel Simulation system that generates Dynamic images based on patient-specific computed tomography data. Methods We developed an original software, the Resection Process Map, for anatomic pulmonary resection. The Resection Process Map semi-automatically generates virtual Dynamic images based on patient-specific computed tomography data. We retrospectively evaluated its accuracy in 18 representative cases by comparing the virtual Dynamic images with the actual surgical images. Results In this study, 9 patients who underwent lobectomy and 9 patients who underwent segmentectomy were included. For each case, a virtual Dynamic image was successfully generated semi-automatically by the Resection Process Map. The Resection Process Map accurately delineated 98.6% of vessel branches and all the bronchi. The median time required to obtain the images was 121.3 seconds. Conclusions We successfully developed a novel Dynamic Simulation system, the Resection Process Map, for anatomic pulmonary resection.
C W Taylor - One of the best experts on this subject based on the ideXlab platform.
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voltage stability analysis v q power flow Simulation versus Dynamic Simulation
IEEE Transactions on Power Systems, 2000Co-Authors: Badrul H Chowdhury, C W TaylorAbstract:Summary form only given as follows. Several analysis methods are available for long-term voltage stability. The V-Q curve power flow method is widely used by Western Systems Coordinating Council utilities, and has some advantages. Long-term Dynamic Simulation with proper modeling, however, is clearly the most accurate Simulation method. We compare the two methods for wintertime voltage stability problems in the Portland, Oregon USA load area. Results from the V-Q method can be misleading. The same is true of other power flow program based analysis employing conventional modeling. Results from these power flow methods may be pessimistic, causing overdesign or overly conservative operation.
Toyofumi F. Chen-yoshikawa - One of the best experts on this subject based on the ideXlab platform.
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Resection Process Map: A novel Dynamic Simulation system for pulmonary resection.
The Journal of thoracic and cardiovascular surgery, 2019Co-Authors: Junko Tokuno, Toyofumi F. Chen-yoshikawa, Megumi Nakao, Tetsuya Matsuda, Hiroshi DateAbstract:Abstract Objective Use of 3-dimensional computed tomography for preoperative and intraoperative Simulation has been introduced in the field of thoracic surgery. However, 3-dimensional computed tomography provides only static Simulation, which is a significant limitation of surgical Simulation. Dynamic Simulation, reflecting the intraoperative deformation of the lung, has not been developed. The aim of this study was to develop a novel Simulation system that generates Dynamic images based on patient-specific computed tomography data. Methods We developed an original software, the Resection Process Map, for anatomic pulmonary resection. The Resection Process Map semi-automatically generates virtual Dynamic images based on patient-specific computed tomography data. We retrospectively evaluated its accuracy in 18 representative cases by comparing the virtual Dynamic images with the actual surgical images. Results In this study, 9 patients who underwent lobectomy and 9 patients who underwent segmentectomy were included. For each case, a virtual Dynamic image was successfully generated semi-automatically by the Resection Process Map. The Resection Process Map accurately delineated 98.6% of vessel branches and all the bronchi. The median time required to obtain the images was 121.3 seconds. Conclusions We successfully developed a novel Dynamic Simulation system, the Resection Process Map, for anatomic pulmonary resection.
Tetsuya Matsuda - One of the best experts on this subject based on the ideXlab platform.
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Resection Process Map: A novel Dynamic Simulation system for pulmonary resection.
The Journal of thoracic and cardiovascular surgery, 2019Co-Authors: Junko Tokuno, Toyofumi F. Chen-yoshikawa, Megumi Nakao, Tetsuya Matsuda, Hiroshi DateAbstract:Abstract Objective Use of 3-dimensional computed tomography for preoperative and intraoperative Simulation has been introduced in the field of thoracic surgery. However, 3-dimensional computed tomography provides only static Simulation, which is a significant limitation of surgical Simulation. Dynamic Simulation, reflecting the intraoperative deformation of the lung, has not been developed. The aim of this study was to develop a novel Simulation system that generates Dynamic images based on patient-specific computed tomography data. Methods We developed an original software, the Resection Process Map, for anatomic pulmonary resection. The Resection Process Map semi-automatically generates virtual Dynamic images based on patient-specific computed tomography data. We retrospectively evaluated its accuracy in 18 representative cases by comparing the virtual Dynamic images with the actual surgical images. Results In this study, 9 patients who underwent lobectomy and 9 patients who underwent segmentectomy were included. For each case, a virtual Dynamic image was successfully generated semi-automatically by the Resection Process Map. The Resection Process Map accurately delineated 98.6% of vessel branches and all the bronchi. The median time required to obtain the images was 121.3 seconds. Conclusions We successfully developed a novel Dynamic Simulation system, the Resection Process Map, for anatomic pulmonary resection.
