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You searched for subject:(Elastic Regularisation). Showing records 1 – 2 of 2 total matches.

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Delft University of Technology

1. Coppoolse, Taco (author). Elastic registration of histological serial sections: A finite element approach.

Degree: 2019, Delft University of Technology

For a proper three-dimensional reconstruction of histology serial sections, adjustment of the slices is necessary for combining serial sections. Deformations occur due to the sectioning and acquisition pro-cess of the microscopic analysis of histology. By reconstructing the deformations with a transformation of the sections, a mathematical correction on the images can be applied. By using image registration, a transformation function is searched for to minimize differences between the histology slices. Due to the non-linearity of the distortions, prior knowledge is required in order to have a solvable problem. Additional information in the form of elasticity regularisation is considered. Implementing the elastic regularisation with a finite element method, provides a continuous transformation function With the continuous function, in a natural way, alignment can be monitored for folding transformations. In this work, the (bi-)linear and (bi-)quadratic elements for the finite element method are implemented and compared with the finite difference method. It is observed that for the different kinds of elements, the (bi-)linear elements yield best results with the validity of the transformation. Moreover, the computa- tional costs for the bi-linear elements are the cheapest. Compared with the finite difference method, the differences in accuracy are not noteworthy but the computational time of the finite element method is longer. Furthermore, to steer the matching in an accurate direction, improvements are proposed by applying local stiffness of the elements or adding soft constraints on the volume of the elements. This results in significant improvements in the transformation. For these two approaches it is observed that local stiffness is more restrictive than volume-preserving. Solving the optimization problem, a Gauss-Newton method to search for descent directions is applied. A matrix-based and a matrix-free approach of elasticity regularisation is considered in the linear system of finding a descent direction. While the matrix-free approach decreases the memory usage, the computational costs are significantly increased. Advisors/Committee Members: van Gijzen, Martin (mentor), Modersitzki, Jan (mentor), Dubbeldam, Johan (graduation committee), Remis, Rob (graduation committee), Delft University of Technology (degree granting institution).

Subjects/Keywords: Image Registration; Elastic Regularisation; Finite Element Method; Matrix-free

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Coppoolse, T. (. (2019). Elastic registration of histological serial sections: A finite element approach. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:7d4d09be-81e1-498d-adcb-21b9ecb05411

Chicago Manual of Style (16th Edition):

Coppoolse, Taco (author). “Elastic registration of histological serial sections: A finite element approach.” 2019. Masters Thesis, Delft University of Technology. Accessed November 29, 2020. http://resolver.tudelft.nl/uuid:7d4d09be-81e1-498d-adcb-21b9ecb05411.

MLA Handbook (7th Edition):

Coppoolse, Taco (author). “Elastic registration of histological serial sections: A finite element approach.” 2019. Web. 29 Nov 2020.

Vancouver:

Coppoolse T(. Elastic registration of histological serial sections: A finite element approach. [Internet] [Masters thesis]. Delft University of Technology; 2019. [cited 2020 Nov 29]. Available from: http://resolver.tudelft.nl/uuid:7d4d09be-81e1-498d-adcb-21b9ecb05411.

Council of Science Editors:

Coppoolse T(. Elastic registration of histological serial sections: A finite element approach. [Masters Thesis]. Delft University of Technology; 2019. Available from: http://resolver.tudelft.nl/uuid:7d4d09be-81e1-498d-adcb-21b9ecb05411


University of Queensland

2. Hasan, Md Mahmud. Understanding Spatial Dependency Structure in Urban Road Traffic Networks: Methodology and Applications in Short Term Traffic Prediction.

Degree: School of Civil Engineering, 2020, University of Queensland

Subjects/Keywords: Time series analysis; spatial dependence; variable selection; Granger causality; Granger causal strength; elastic net regularisation; regression tree; important predictors; nonlinear analysis; traffic prediction; 0905 Civil Engineering; 0999 Other Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hasan, M. M. (2020). Understanding Spatial Dependency Structure in Urban Road Traffic Networks: Methodology and Applications in Short Term Traffic Prediction. (Thesis). University of Queensland. Retrieved from http://espace.library.uq.edu.au/view/UQ:1

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hasan, Md Mahmud. “Understanding Spatial Dependency Structure in Urban Road Traffic Networks: Methodology and Applications in Short Term Traffic Prediction.” 2020. Thesis, University of Queensland. Accessed November 29, 2020. http://espace.library.uq.edu.au/view/UQ:1.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hasan, Md Mahmud. “Understanding Spatial Dependency Structure in Urban Road Traffic Networks: Methodology and Applications in Short Term Traffic Prediction.” 2020. Web. 29 Nov 2020.

Vancouver:

Hasan MM. Understanding Spatial Dependency Structure in Urban Road Traffic Networks: Methodology and Applications in Short Term Traffic Prediction. [Internet] [Thesis]. University of Queensland; 2020. [cited 2020 Nov 29]. Available from: http://espace.library.uq.edu.au/view/UQ:1.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hasan MM. Understanding Spatial Dependency Structure in Urban Road Traffic Networks: Methodology and Applications in Short Term Traffic Prediction. [Thesis]. University of Queensland; 2020. Available from: http://espace.library.uq.edu.au/view/UQ:1

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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