Natural User Interfaces in Medical Image Analysis Cognitive Analysis of Brain and Carotid Artery Images

Although the capabilities of computer image analysis do not yet match those of the human visual system, recent developments have made great progress towards tackling the challenges posed by the perceptual analysis of images. This unique text/reference highlights a selection of important, practical a...

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Bibliographic Details
Main Authors: Ogiela, Marek R., Hachaj, Tomasz (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2015, 2015
Edition:1st ed. 2015
Series:Advances in Computer Vision and Pattern Recognition
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a Natural User Interfaces in Medical Image Analysis  |h Elektronische Ressource  |b Cognitive Analysis of Brain and Carotid Artery Images  |c by Marek R. Ogiela, Tomasz Hachaj 
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300 |a XII, 288 p. 124 illus., 74 illus. in color  |b online resource 
505 0 |a Image Processing, Pattern Recognition and Semantic Understanding Techniques -- Cognitive Methods for Semantic Image Analysis in Medical Imaging Applications -- Computer Analysis of Brain Perfusion and Neck Angiography Images -- Brain and Neck Visualization Techniques -- Natural User Interfaces for Exploring and Modeling Brain and Neck Structures -- Summary 
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653 |a Image Processing and Computer Vision 
653 |a Pattern Recognition 
653 |a Radiology 
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653 |a Optical data processing 
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520 |a Although the capabilities of computer image analysis do not yet match those of the human visual system, recent developments have made great progress towards tackling the challenges posed by the perceptual analysis of images. This unique text/reference highlights a selection of important, practical applications of advanced image analysis methods for medical images. The book covers the complete methodology for processing, analysing and interpreting diagnostic results of sample computed tomography (CT) images. The text also presents significant problems related to new approaches and paradigms in image understanding and semantic image analysis. To further engage the reader, example source code is provided for the implemented algorithms in the described solutions. Topics and features: Describes the most important methods and algorithms used for image analysis, including holistic and syntactic methods Examines the fundamentals of cognitive computer image analysis for computer-aided diagnosis and semantic image description, introducing the cognitive resonance model Presents original approaches for the semantic analysis of CT perfusion and CT angiography images of the brain and carotid artery Discusses techniques for creating 3D visualisations of large datasets, and efficient and reliable algorithms for 3D rendering Reviews natural user interfaces in medical imaging systems, covering innovative Gesture Description Language technology Concludes with a summary of significant developments in advanced image recognition techniques and their practical applications, along with possible directions for future research This cutting-edge work is an invaluable practical resource for researchers and professionals interested in medical informatics, computer-aided diagnosis, computer graphics, and intelligent information systems