Problems of heart geometry reconstruction in IR-monitoring of cardiosurgery procedures

2016 ◽  
Author(s):  
M. Kaczmarek
Keyword(s):  
Geometry Reconstruction

scholarly journals Torso geometry reconstruction and body surface electrode localization using three-dimensional photography

2018 ◽  
Vol 51 (1) ◽  
pp. 60-67 ◽  
Author(s):  
Erick A. Perez-Alday ◽  
Jason A. Thomas ◽  
Muammar Kabir ◽  
Golriz Sedaghat ◽  
Nichole Rogovoy ◽  
...  
Keyword(s):  
Body Surface ◽  
Three Dimensional ◽  
Surface Electrode ◽  
Geometry Reconstruction ◽  
Electrode Localization

scholarly journals Skeleton Marching-based Parallel Vascular Geometry Reconstruction Using Implicit Functions

2019 ◽  
Vol 17 (1) ◽  
pp. 30-43
Author(s):  
Quan Qi ◽  
Qing-De Li ◽  
Yongqiang Cheng ◽  
Qing-Qi Hong
Keyword(s):  
High Precision ◽  
Geometric Structure ◽  
Vascular Tissue ◽  
Vascular System ◽  
Implicit Surfaces ◽  
Patient Specific ◽  
Reconstruction Technique ◽  
Geometry Reconstruction ◽  
Geometric Reconstruction ◽  
Vascular Geometry

Abstract Fast high-precision patient-specific vascular tissue and geometric structure reconstruction is an essential task for vascular tissue engineering and computer-aided minimally invasive vascular disease diagnosis and surgery. In this paper, we present an effective vascular geometry reconstruction technique by representing a highly complicated geometric structure of a vascular system as an implicit function. By implicit geometric modelling, we are able to reduce the complexity and level of difficulty of this geometric reconstruction task and turn it into a parallel process of reconstructing a set of simple short tubular-like vascular sections, thanks to the easy-blending nature of implicit geometries on combining implicitly modelled geometric forms. The basic idea behind our technique is to consider this extremely difficult task as a process of team exploration of an unknown environment like a cave. Based on this idea, we developed a parallel vascular modelling technique, called Skeleton Marching, for fast vascular geometric reconstruction. With the proposed technique, we first extract the vascular skeleton system from a given volumetric medical image. A set of sub-regions of a volumetric image containing a vascular segment is then identified by marching along the extracted skeleton tree. A localised segmentation method is then applied to each of these sub-image blocks to extract a point cloud from the surface of the short simple blood vessel segment contained in the image block. These small point clouds are then fitted with a set of implicit surfaces in a parallel manner. A high-precision geometric vascular tree is then reconstructed by blending together these simple tubular-shaped implicit surfaces using the shape-preserving blending operations. Experimental results show the time required for reconstructing a vascular system can be greatly reduced by the proposed parallel technique.

scholarly journals High Precision Cross-Range Scaling and 3D Geometry Reconstruction of ISAR Targets Based on Geometrical Analysis

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 132415-132423
Author(s):  
Chaoxiang Zhou ◽  
Libing Jiang ◽  
Qingwei Yang ◽  
Xiaoyuan Ren ◽  
Zhuang Wang
Keyword(s):  
High Precision ◽  
Geometrical Analysis ◽  
Geometry Reconstruction ◽  
3D Geometry
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