Abstract
The aim of this project is to keep the x-ray exposure of the patient as low as reasonably achievable while improving the diagnostic image quality for the radiologist. The means to achieve these goals is to develop and evaluate an efficient adaptive filtering (denoising/image enhancement) method that fully explores true 4D image acquisition modes.
The proposed prototype system uses a novel filter set having directional filter responses being monomials. The monomial filter concept is used both for estimation of local structure and for the anisotropic adaptive filtering. Initial tests on clinical 4D CT-heart data with ECG-gated exposure has resulted in a significant reduction of the noise level and an increased detail compared to 2D and 3D methods. Another promising feature is that the reconstruction induced streak artifacts which generally occur in low dose CT are remarkably reduced in 4D.
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Andersson, M.: Controllable Multidimensional Filters in Low Level Computer Vision. Ph.D. thesis, Linköping University, Sweden, SE-581 83 Linköping, Sweden (September 1992), dissertation No 282, ISBN 91-7870-981-4
Bigün, J.: Recognition of local symmetries in gray value images by harmonic functions. In: The 9th International Conference on Pattern Recognition, Rome, Italy (1988)
Bigün, J., Granlund, G.H.: Optimal orientation detection of linear symmetry. In: IEEE First International Conference on Computer Vision, London, Great Britain, pp. 433–438 (1987)
Bigün, J., Granlund, G.H.: Optical flow based on the inertia matrix of the frequency domain. In: Proceedings from SSAB Symposium on Picture Processing, SSAB, Lund University, Sweden (1988)
Buades, A., Coll, B., Morel, J.M.: A review of image denoising algorithms, with a new one. Multiscale Model Simul. 4, 490–530 (2005)
Eklund, A., Andersson, M., Knutsson, H.: True 4D image denoising on the GPU. International Journal of Biomedical Imaging, Article ID 952819 (2011)
Elad, M.: On the origin of the bilateral filter and ways to improve it. IEEE Transactions on Image Processing II(10), 1141–1151 (2003)
Farnebäck, G.: Polynomial Expansion for Orientation and Motion Estimation. Ph.D. thesis, Linköping University, Sweden, SE-581 83 Linköping, Sweden (2002) dissertation No 790, ISBN 91-7373-475-6
Felsberg, M., Jonsson, E.: Energy tensors: Quadratic, phase invariant image operators. In: Kropatsch, W.G., Sablatnig, R., Hanbury, A. (eds.) DAGM 2005. LNCS, vol. 3663, pp. 493–500. Springer, Heidelberg (2005)
Granlund, G.H., Knutsson, H.: Signal Processing for Computer Vision. Kluwer Academic Publishers (1995) ISBN 0-7923-9530-1
Johansson, B., Farnebäck, G.: A theoretical comparison of different orientation tensors. In: Proceedings SSAB 2002 Symposium on Image Analysis, SSAB, Lund, pp. 69–73 (2002)
Knutsson, H.: A tensor representation of 3-D structures. In: 5th IEEE-ASSP and EURASIP Workshop on Multidimensional Signal Processing, Noordwijkerhout, The Netherlands (September 1987) (poster presentation)
Knutsson, H.: Representing local structure using tensors. In: The 6th Scandinavian Conference on Image Analysis, Oulu, Finland, pp. 244–251 (June 1989); report LiTH–ISY–I–1019, Computer Vision Laboratory, Linköping University, Sweden (1989)
Knutsson, H., Andersson, M., Wiklund, J.: Advanced filter design. In: SCIA11. SCIA, Greenland (June 1999)
Knutsson, H., Haglund, L., Granlund, G.: Adaptive filtering of image sequences and volumes. In: Proceedings of International Conference on Automation, Robotics and Computer Vision, Singapore (September 1992)
Knutsson, H., Westin, C.F., Andersson, M.: Structure tensor estimation - introducing monomial quadrature filter sets. In: Laidlaw, D., Vilanova, A. (eds.) New Developments in the Visualization and Processing of Tensor Fields. Springer, Dagstuhl (2012)
Knutsson, H., Wilson, R., Granlund, G.H.: Anisotropic non-stationary image estimation and its applications — Part I: Restoration of noisy images. IEEE Transactions on Communications 31(3), 388–397 (1983)
Köthe, U.: Inegrated edge and junction detection with the boundary tensor. In: Proceedings of Ninth IEEE International Conference on Computer Vision (ICCV) (2003)
Nordberg, K., Farnebäck, G.: Estimation of orientation tensors for simple signals by means of second-order filters. Signal Processing: Image Communication 20(6), 582–594 (2005)
Perona, P.: Steerable-scalable kernels for edge detection and junction analysis. In: Sandini, G. (ed.) ECCV 1992. LNCS, vol. 588, pp. 3–18. Springer, Heidelberg (1992)
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Andersson, M., Knutsson, H. (2013). Adaptive Spatio-temporal Filtering of 4D CT-Heart. In: Kämäräinen, JK., Koskela, M. (eds) Image Analysis. SCIA 2013. Lecture Notes in Computer Science, vol 7944. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38886-6_24
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