Open Source Applications for Image Visualization and Processing in Neuroimaging Training

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.

[1]  Michelle Rowe,et al.  Collaborative Commerce and the Hotel Industry , 2007 .

[2]  Leon Urbas,et al.  Hand Gesture Recognition as Means for Mobile Human Computer Interaction in Adverse Working Environments , 2014 .

[3]  Robert B Trelease,et al.  Diffusion of innovations: anatomical informatics and iPods. , 2006, Anatomical record. Part B, New anatomist.

[4]  Frank Parry,et al.  Success and Pitfalls of Information Technology Management , 2000 .

[5]  Ana Grasielle Dionísio Corrêa.  Interactive Books in Augmented Reality for Mobile Devices: A Case Study in the Learning of Geometric Figures , 2016 .

[6]  Osman Ratib,et al.  OsiriX: An Open-Source Software for Navigating in Multidimensional DICOM Images , 2004, Journal of Digital Imaging.

[7]  Simon Nyaga Mwendia,et al.  Culture aware M-Learning classification framework for African countries , 2014 .

[8]  Hamid Soltanian-Zadeh,et al.  Web-based interactive 2D/3D medical image processing and visualization software , 2010, Comput. Methods Programs Biomed..

[9]  Vani Kalloo,et al.  An Exploration of Developing Mathematics Content for Mobile Learning , 2015 .

[10]  Olivier Clatz,et al.  Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery , 2007, NeuroImage.

[11]  J A Juanes,et al.  Computed anatomical modelling of the optic pathway and oculomotor system using magnetic resonance imaging. , 2014, Journal of neuroradiology. Journal de neuroradiologie.

[12]  Antonia Moropoulou,et al.  Non-Destructive Testing for Assessing Structural Damage and Interventions Effectiveness for Built Cultural Heritage Protection , 2015 .

[13]  Graham Wright,et al.  Open Source and Healthcare in Europe - Time to Put Leading Edge Ideas into Practice , 2009, MIE.

[14]  Mehdi Khosrow-Pour.  Inventive Approaches for Technology Integration and Information Resources Management , 2014 .

[15]  Francisco Vicente Cipolla-Ficarra.  Advanced Research and Trends in New Technologies, Software, Human-Computer Interaction, and Communicability , 2013 .

[16]  E. Acosta,et al.  An interactive three‐dimensional virtual body structures system for anatomical training over the internet , 2006, Clinical anatomy.

[17]  Ramin Khorasani,et al.  Should you use open-source software applications in your practice? , 2012, Journal of the American College of Radiology : JACR.

[18]  Carlos Castro,et al.  Research, Development, and Innovation in Extremadura , 2004 .

[19]  Pedro Isaias,et al.  Emerging Research and Trends in Interactivity and the Human-Computer Interface , 2013 .

[20]  Han-Jun Lee,et al.  Accuracy and Reliability of Length Measurements on Three-Dimensional Computed Tomography Using Open-Source OsiriX Software , 2012, Journal of Digital Imaging.

[21]  Paul Nagy,et al.  Open Source in Imaging Informatics , 2007, Journal of Digital Imaging.

[22]  Valentina Nisi,et al.  Experience Prototyping: Gathering Rich Understandings to Guide Design , 2012 .

[23]  Panayiotis Zaphiris,et al.  Human computer interaction : concepts, methodologies, tools, and applications , 2009 .

[24]  Antoine Rosset,et al.  Open Source software and social networks: disruptive alternatives for medical imaging. , 2011, European journal of radiology.

[25]  MellatiMorteza,et al.  The Impacts of Distance Interactivity on Learners' Achievements in Online Mobile Language Learning , 2015 .

[26]  Huma Lodhi.  On Bias-Variance Analysis for Probabilistic Logic Models , 2008, J. Inf. Technol. Res..

[27]  R. Satava,et al.  Virtual Reality Training Improves Operating Room Performance: Results of a Randomized, Double-Blinded Study , 2002, Annals of surgery.

[28]  Eduardo Sierra-Martínez,et al.  OsiriX, visor DICOM útil para procesar imágenes tomográficas de fracturas faciales , 2009 .

[29]  Dorothy G. Dologite,et al.  Developing Effective Knowledge-Based Systems: Overcoming Organizational and Individual Behavioral Barriers , 1989 .

[30]  C. W. Llnl Jordan.  Building an internet-based workflow system - the case of Lawrence Livermore National Laboratories` Zephyr project , 1998 .

[31]  K. Burchiel,et al.  Radiographic evaluation of trigeminal neurovascular compression in patients with and without trigeminal neuralgia. , 2009, Journal of neurosurgery.

[32]  Wenhao David Huang,et al.  Design and Evaluation of Mobile Learning from the Perspective of Cognitive Load Management , 2014 .

[33]  David E. Avrin,et al.  Computers in imaging and health care: Now and in the future , 2000, Journal of Digital Imaging.

[34]  F. Jalbert,et al.  Osirix : logiciel libre d’imagerie médicale , 2008 .

[35]  Gang Gong,et al.  Residential Dynamics in the Wake of Katrina: Revisiting Residential Segregation among Racial and Ethnic Groups in New Orleans, Louisiana 2000–2010 , 2014 .

[36]  Alberto Prats-Galino,et al.  Experimental evidence for improved neuroimaging interpretation using three‐dimensional graphic models , 2012, Anatomical sciences education.

[37]  Philip K. Wilson,et al.  Exploring the Human Interior: The Roles of Cadaver Dissection and Radiologic Imaging in Teaching Anatomy , 2005, Academic medicine : journal of the Association of American Medical Colleges.

[38]  Morteza Mellati,et al.  The Impacts of Distance Interactivity on Learners' Achievements in Online Mobile Language Learning: Social Software and Participatory Learning , 2015, Int. J. Web Based Learn. Teach. Technol..

[39]  Osman Ratib,et al.  General Consumer Communication Tools for Improved Image Management and Communication in Medicine , 2005, Journal of Digital Imaging.

[40]  Francisco V. Cipolla-Ficarra,et al.  Web Divide and Paper Unite: Towards a Model of the Local Tourist Information for All , 2015 .

[41]  Milan Sonka,et al.  3D Slicer as an image computing platform for the Quantitative Imaging Network. , 2012, Magnetic resonance imaging.