Searched for: subject%3A%22Image%255C+Registration%22
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Li, Xinqi (author)
Quantitative cardiac MRI is an increasingly important diagnostic tool for cardiovascular diseases. Yet, it is essential to have correct image registration for good accuracy and precision of quantitative mapping. Registering all baseline images from a quantitative cardiac MRI sequence, however, is nontrivial because the patient is moving, leading...
master thesis 2023
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Mulder, Joas (author)
Deformable Image Registration (DIR) is a medical imaging process involving the spatial alignment of two or more images using a transformation model that can account for non-rigid deformations. B-spline-based transformation models have emerged as a common approach to express such spatial alignments. However, without additional measures, their...
master thesis 2023
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Bouter, P.A. (author)
In recent years, the use of Artificial Intelligence (AI) has become prevalent in a large number of societally relevant, real-world problems, e.g., in the domains of engineering and health care. The field of Evolutionary Computation (EC) can be considered to be a sub-field of AI, concerning optimization using Evolutionary Algorithms (EAs), which...
doctoral thesis 2023
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Hellebrekers, Vincent (author)
The thesis is composed of two parts. The first part is the scientific article<br/>that describes the main findings for our objective to align cerebral DSA series.<br/>The second part of the thesis includes more extensive information regarding<br/>the clinical and technical background of the project. Additionally, it contains<br/>information on...
master thesis 2023
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Halman, Susanna (author)
This thesis presents the research to design a successful high-accuracy, sub-millimetric registration method for an autonomous robot equipped to drill bone for cochlear implant (CI) surgery. Its performance, and thus success, is measured in accuracy, workload, usability and trust. While state-of-the-art (STOTA) research lacks the inclusion of...
master thesis 2023
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Grewal, M. (author), Wiersma, Jan (author), Westerveld, Henrike (author), Bosman, P.A.N. (author), Alderliesten, T. (author)
Purpose: Deformable image registration (DIR) can benefit from additional guidance using corresponding landmarks in the images. However, the benefits thereof are largely understudied, especially due to the lack of automatic landmark detection methods for three-dimensional (3D) medical images. Approach: We present a deep convolutional neural...
journal article 2023
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Quin, Tristan (author)
This research investigates the efficacy and reliability of geometric matching for the specific case of aligning non-exact copies of artistic works with the original from which they were derived. The purpose of which is to provide a foundation for comparison in any further analysis conducted by conservators and art historians. An overview of the...
bachelor thesis 2022
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Groen, Vincent (author)
The current state-of-the-art image alignment techniques and their input parameters are often unintuitive to those without the required background knowledge.<br/>This work aims to provide users with a graphical user interface through which they can intuitively influence the parameters and results of the algorithm by excluding certain areas from...
bachelor thesis 2022
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Spasov, Mihail (author)
Image registration is the process that overlays two or more images from different sources taken at different times and angles. Art conservators take various scans of paintings and then register them against the original in order to learn more about the working style of the artist, materials used and physical changes throughout time. This paper...
bachelor thesis 2022
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van Ulsen, Hidde (author)
Image registration is a fundamental requirement for many medical applications. In recent years, deep learning approaches for registration have shown to be a promising alternative to conventional methods. However, most learning based methods do not consider the different physical properties of various tissues, which can result in unrealistic...
master thesis 2022
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van der Toorn, J. (author), Wiersma, R.T. (author), Vandivere, Abbie (author), Marroquim, Ricardo (author), Eisemann, E. (author)
Multimodal imaging is used by conservators and scientists to study the composition of paintings. To aid the combined analysis of these digitisations, such images must first be aligned. Rather than proposing a new domain-specific descriptor, we explore and evaluate how existing feature descriptors from related fields can improve the performance...
conference paper 2022
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Moerman, A. M. (author), Korteland, S. (author), Dilba, K. (author), van Gaalen, K. (author), Poot, D. H.J. (author), van Der Lugt, A. (author), Verhagen, H. J.M. (author), Wentzel, J. J. (author), van Der Steen, A. F.W. (author), Gijsen, F.J.H. (author), Van der Heiden, K. (author)
The role of wall shear stress (WSS) in atherosclerotic plaque development is evident, but the relation between WSS and plaque composition in advanced atherosclerosis, potentially resulting in plaque destabilization, is a topic of discussion. Using our previously developed image registration pipeline, we investigated the relation between two...
journal article 2022
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Guichelaar, Jamila (author)
Introduction: Radiation is an effective treatment to increase overall mean survival of patients with metastatic brain tumours, however, damage to healthy tissue is inevitable. Radiation can cause dysfunction of the cerebrovasculature which is hypothesised to induce cognitive decline in patients after radiotherapy (RT). A new method, the...
master thesis 2021
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Wijnbergen, Diede (author)
To optimize treatment in patients with craniosynostosis, better<br/>understanding of the disease process is essential, for example using<br/>brain MRI analysis to study brain volume, brain perfusion, and<br/>brain micro-architecture. However, such analyses require image registration,<br/>which is challenging because of disease-related brain...
master thesis 2021
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Maček, Nejc (author)
Video-streaming services usually feature post-processing effects to replace the background. However, these often yield inconsistent lighting. Machine-learning-based relighting methods can address this problem, but, at real-time rates, are restricted to a low resolution and can result in an unrealistic skin appearance. Physically-based rendering...
master thesis 2021
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Sokooti, Hessam (author), Yousefi, Sahar (author), Elmahdy, Mohamed S. (author), Lelieveldt, B.P.F. (author), Staring, M. (author)
In this paper we propose a supervised method to predict registration misalignment using convolutional neural networks (CNNs). This task is casted to a classification problem with multiple classes of misalignment: 'correct' 0-3 mm, 'poor' 3-6 mm and 'wrong' over 6 mm. Rather than a direct prediction, we propose a hierarchical approach, where...
journal article 2021
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Li, Z. (author), Mancini, Maria Elisabetta (author), Monizzi, Giovanni (author), Andreini, Daniele (author), Ferrigno, Giancarlo (author), Dankelman, J. (author), De Momi, Elena (author)
Cardiologists highlight the need for an intra-operative 3D visualization to assist interventions. The intra-operative 2D X-ray/Digital Subtraction Angiography (DSA) images in the standard clinical workflow limit cardiologists’ views significantly. Compared with image-to-image registration, model-to-image registration is an essential approach...
conference paper 2021
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Ji, Chenhong (author)
Image registration is a vital tool in medical image analysis with a large number of applications assisting the medical experts. Currently, conventional image registration approach with predefined dissimilarity metric and iterative optimization, is widely used. In this thesis, we proposed a method to solve medical image registration problem using...
master thesis 2019
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Coppoolse, Taco (author)
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...
master thesis 2019
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Elmahdy, Mohamed S. (author), Jagt, Thyrza (author), Zinkstok, Roel Th. (author), Qiao, Yuchuan (author), Shahzad, Rahil (author), Sokooti, Hessam (author), Yousefi, Sahar (author), Incrocci, Luca (author), Marijnen, C.A.M. (author), Hoogeman, Mischa (author), Staring, M. (author)
Purpose: To develop and validate a robust and accurate registration pipeline for automatic contour propagation for online adaptive Intensity-Modulated Proton Therapy (IMPT) of prostate cancer using elastix software and deep learning. Methods: A three-dimensional (3D) Convolutional Neural Network was trained for automatic bladder segmentation...
journal article 2019
Searched for: subject%3A%22Image%255C+Registration%22
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