Abstract
In modern radiology imaging modalities for three-dimensional medical visualisation of anatomy and function are in clinical use. Various physical quantities measured by the interaction of e.g. X-rays, magnetic fields or ultra sound with the human body provide modality inherent information about the human body, in general information is complimentary.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Borgefors G (1988) Hierarchical chamfer matching: A parametric edge matching algorithm. IEEE Trans Pattern Anal Machine Intel) 10: 849–865
Collins DL, Peters TM, Dai W, Evans AC (1992) Model based segmentation of individual brain structures from MRI data. SPIE Proceedings of 1st International Conference on visualisation in Biomedical Computing 1808: 10–23
Collins DL (1994) 3D Model-based segmentation of individual brain structures from magnetic resonance imaging data. PhD thesis, McGill University
Dellepiane S, Fontana F (1995) Extraction of intensity connectedness for image processing. Pattern Recognition Letters 16: 313–324
Gangolli AR, Tanimoto SL (1983) Two pyramid machine algorithms for edge detection in noisy binary images. Information Processing Letters 17: 197–202
Gee JC, Reivich M, Bajcsy R (1993) Elastically deforming 3D atlas to match anatomical brain images. J Compt Assist Tomogr 17: 225–236
Gibbs P, Buckley DL, Blackband SJ, Horsman A (1996) Tumour volume determination from MR images by morphological segmentation. Physics in Medicine and Biology 41: 2437–2446
Hata N (1998) Rigid and deformable medical image registration for image-guided surgery. PhD thesis, University of Tokyo
Hata N, Dohi T, Warfield S, Wells W, Kikinis R, Jolesz FA (1998) Multimodality deformable registration of pre-and intraoperative images for MRI guided brain surgery; http://splweb.bwh.harvard.edu:8000/pages/ papers/noby/m iccai 98/hatal 92. htm
Höhne KH, Hanson WA (1990) Interactive 3D-segmentation of MRI and CT volumes using morphological operators. J Compt Assist Tomogr 10: 41–53
Kaus M, Warfield S, Jolesz F, Kikinis R (1998) Adaptive template moderated brain tumor segmentation in MRI. Bildverarbeitung für die Medizin. Springer, pp 102–106
Levin D, Hu X, Tan KK, Galhotra S, Pelizzari CA et al (1989) The brain: Integrated three-dimensional display of MR and PET images. Radiology 172: 783–789
Maintz A, Viergever M (1998) A survey of medical image registration. Medical Image Analysis 2 (1): 136
Mokhtarian, F Suomela R (1999) Curvature scale space for image point feature detection. Proceedings of the International Conference on Image Processing and its Applications, Manchester, UK 206–210
Nakajima S, Atsumi H, Kikinis R, Moriarty TM, Metcalf DC, Jolesz FA, Black P (1997) Use of cortical surface vessel registration for image-guided neurosurgery. Neurosurgery 40 (6): 1201–1210
Pal N, Pal S (1993) A review on image segmentation techniques. Pattern Recognition 26: 1277–1294
Robb RA (1995) Three-dimensional biomedical imaging: Principles and practice, VCH, pp 183–188
Serra J (1982) Image analysis and mathematical morphology. Academic Press
Soltanian-Zadeh H, Windham JP, Chen F (1994) Automated contour extraction using a multi-scale approach, Proceedings IEEE Medical Imaging Conference, Norfolk, VA
Specht DF (1990) Probabilistic neural networks. Neural Networks 3: 109–118
Szekely G, Kelemen A, Brechbuhler C, Gerig G, (1996) Segmentation of 2d and 3d objects from MRI volume data using constrained elastic deformations of flexible Fourier contour and surface models. Medical Image Analysis 1 (1): 19–34
Vannier M, Butterfield R, Jordan D, Murphy W et al (1985) Multi-spectral analysis of magnetic resonance images. Radiology 154: 221–224
Viola PA (1995) Alignment by Maximization of mutual information. Artificial Intelligence Laboratory. Massachusetts Institute of Technology, PhD thesis, Cambridge, MA pp 155
Viola PA, Wells III WM (1995) Alignment by maximization of mutual information. Fifth International Conference on Computer Vision, IEEE, Cambridge, MA 16–23
Warfield SK (1998) Real-time image segmentation for image-guided surgery, http://splweb.bwh.harvard.edu:8000/pages/papers/warfield/sc98/index.html
Warfield S, Jolesz F, Kikinis R (1998) A high performance computing approach to the registration of medical imaging data. Parallel Computing 24: 11345–11368
Wells WM, Viola P, Atsumi H, Nakajima S, Kikinis R (1996) Multi-modal volume registration by maximization of mutual information. Medical Image Analysis 1: 35–51
Wells Ill W, Kikinis R, Grimson W, Jolesz F (1996) Adaptive segmentation of MRI data. IEEE Transactions on Medical Imaging 15 (4): 429–442
Westin C, Kikinis R (1998) Tensor controlled local structure enhancement of CT images for bone segmentation. Medical Image Computing and Computer Assisted Intervention (MICCAI) 1205–1212
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Wien
About this chapter
Cite this chapter
Backfrieder, W., Hanel, R., Diemling, M., Lorang, T., Kettenbach, J., Imhof, H. (2001). Image fusion. In: Hruby, W. (eds) Digital (R)Evolution in Radiology. Springer, Vienna. https://doi.org/10.1007/978-3-7091-3707-9_16
Download citation
DOI: https://doi.org/10.1007/978-3-7091-3707-9_16
Publisher Name: Springer, Vienna
Print ISBN: 978-3-7091-3709-3
Online ISBN: 978-3-7091-3707-9
eBook Packages: Springer Book Archive