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020 _a9783642143663
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024 7 _a10.1007/978-3-642-14366-3
_2doi
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_2bicssc
072 7 _aCOM016000
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082 0 4 _a006.37
_223
245 1 0 _aBiomedical Image Registration
_h[electronic resource] :
_b4th International Workshop, WBIR 2010, Lübeck, July 11-13, 2010, Proceedings /
_cedited by Bernd Fischer, Benoit Dawant, Cristian Lorenz.
250 _a1st ed. 2010.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2010.
300 _a280 p. 113 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v6204
505 0 _aApplications -- Unifying Vascular Information in Intensity-Based Nonrigid Lung CT Registration -- Deformable Image Registration of Follow-Up Breast Magnetic Resonance Images -- 3D-Reconstruction of Basal Cell Carcinoma -- Monocular Deformable Model-to-Image Registration of Vascular Structures -- Poster Session -- Continuity Order of Local Displacement in Volumetric Image Sequence -- Registration of 2D Images from Fast Scanning Ophthalmic Instruments -- Registration of 3D Retinal Optical Coherence Tomography Data and 2D Fundus Images -- A Computational White Matter Atlas for Aging with Surface-Based Representation of Fasciculi -- Anatomical Landmark Based Registration of Contrast Enhanced T1-Weighted MR Images -- Bayesian Estimation of Deformation and Elastic Parameters in Non-rigid Registration -- Functional Non-rigid Registration Validation: A CT Phantom Study -- Evaluation -- Nonlinear Elastic Spline Registration: Evaluation with Longitudinal Huntington’s Disease Data -- Evaluating Image Registration Using NIREP -- A New Image Database for 3D/2D Registration Based on the Visible Human Data Set -- Methods Part I -- Unifying Characterization of Deformable Registration Methods Based on the Inherent Parametrization -- Reliability-Driven, Spatially-Adaptive Regularization for Deformable Registration -- Large Deformation Diffeomorphic Registration Using Fine and Coarse Strategies -- Log-Domain Diffeomorphic Registration of Diffusion Tensor Images -- Model Based Registration -- Nonrigid Registration and Template Matching for Coronary Motion Modeling from 4D CTA -- Cardiac Respiratory Motion Modelling by Simultaneous Registration and Modelling from Dynamic MRI Images -- Model-Based Registration for Motion Compensation during EP Ablation Procedures -- Methods II -- Spatial Information Encoded MutualInformation for Nonrigid Registration -- Normalized Measures of Mutual Information with General Definitions of Entropy for Multimodal Image Registration -- Nonlinear Elasticity Registration and Sobolev Gradients.
520 _aWelcome to the proceedings of the 4th Workshop on Biomedical Image R- istration (WBIR). Previous WBIRs took place in Bled, Slovenia (1999), at the UniversityofPennsylvania,USA(2003)andinUtrecht,TheNetherlands(2006). This year, WBIR was hosted by the Institute Mathematics and Image Proce- ing and the Fraunhofer Project Group on Image Registration and it was held in Lub ¨ eck, Germany. It provided the opportunity to bring together researchers from all over the world to discuss some of the most recent advances in image registration and its applications. We had an excellent collection of papers that were reviewed by at least three reviewers each from a 35-member Program Committee assembled from a wor- wide community of registration experts. This year 17 papers were accepted for oral presentation, while another 7 papers were accepted as poster papers. We believe all of the conference papers were of excellent quality. Registration is a fundamental task in image processing used to match two or more pictures taken, for example, at di?erent times, from di?erent sensors, or from di?erent viewpoints. Establishing the correspondence of structures within medical images is fundamental to diagnosis, treatment planning, and surgical guidance. The conference papers address state-of-the-art techniques for prov- ing reliable and e?cient registration techniques, thereby imposing relationships between speci?c application areas and appropriate registration schemes. We are grateful to all those who contributed to the success of WBIR 2010.
650 0 _aComputer vision.
650 0 _aMedical informatics.
650 0 _aRadiology.
650 0 _aInformation storage and retrieval systems.
650 0 _aPattern recognition systems.
650 0 _aBioinformatics.
650 1 4 _aComputer Vision.
650 2 4 _aHealth Informatics.
650 2 4 _aRadiology.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aAutomated Pattern Recognition.
650 2 4 _aBioinformatics.
700 1 _aFischer, Bernd.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDawant, Benoit.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aLorenz, Cristian.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642143656
776 0 8 _iPrinted edition:
_z9783642143670
830 0 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v6204
856 4 0 _uhttps://doi.org/10.1007/978-3-642-14366-3
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