scholarly journals Tetrahedral mesh generation for medical imaging

2005 ◽  
Author(s):  
Andriy Fedorov ◽  
Nikos Chrisochoides ◽  
Ron Kikinis ◽  
Simon Warfield

We describe the open source implementation of an adaptive tetrahedral mesh generator particularly targeted for non-rigid FEM registration of MR images. While many medical imaging applications require robust mesh generation, there are few codes available. Moreover, most of the practical implementations are commercial. The algorithm we have implemented has been previously evaluated for simulations of highly deformable objects, and the preliminary results show its applicability to the targeted application. The implementation we describe is open source and will be available within Insight Toolkit.

Author(s):  
Panagiotis A. Foteinos ◽  
Yixun Liu ◽  
Andrey N. Chernikov ◽  
Nikos P. Chrisochoides

2015 ◽  
pp. 1319-1332
Author(s):  
Juan A. Juanes ◽  
Pablo Ruisoto ◽  
Alberto Prats-Galino ◽  
Andrés Framiñán

The aim of this paper is to demonstrate the major role and potential of three of the most powerful open source computerized tools for the advanced processing of medical images, in the study of neuroanatomy. DICOM images were acquired with radiodiagnostic equipment using 1.5 Tesla Magnetic Resonance (MR) images. Images were further processed using the following applications: first, OsiriXTM version 4.0 32 bits for OS; Second, 3D Slicer version 4.3; and finally, MRIcron, version 6. Advanced neuroimaging processing requires two key features: segmentation and three-dimensional or volumetric reconstruction. Examples of identification and reconstruction of some of the most complex neuroimaging elements such vascular ones and tractographies are included in this paper. The three selected applications represent some of the most versatile technologies within the field of medical imaging.


2020 ◽  
Vol 2 (2) ◽  
pp. 149-163
Author(s):  
Peng Zheng ◽  
Yang Yang ◽  
Zhiwei Liu ◽  
Quan Xu ◽  
Junji Wang ◽  
...  

2012 ◽  
Vol 93 (10) ◽  
pp. 1040-1056 ◽  
Author(s):  
Hansmartin Friess ◽  
Sophia Haussener ◽  
Aldo Steinfeld ◽  
Jörg Petrasch

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