Results 31 to 40 of about 30,960 (188)
Haptic guided 3-D deformable image registration [PDF]
International Journal of Computer Assisted Radiology and Surgery, 2009 We present a system which supports deformable image registration guided by a haptic device.The haptic device is tied to a block matching method where a set of uniformly distributed control points determine the block positions. Each control point constitutes a particle in a mass spring grid which limits the space of allowed movements to elastic ...
Petter, Risholm, Eigil, Samset
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Prior-based Coregistration and Cosegmentation [PDF]
, 2016 We propose a modular and scalable framework for dense coregistration and cosegmentation with two key characteristics: first, we substitute ground truth data with the semantic map output of a classifier; second, we combine this output with population ...
A Tsai +8 more
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IEEE Access, 2017 Delineation of the cardiac right ventricle is essential in generating clinical measurements such as ejection fraction and stroke volume. Given manual segmentation on the first frame, one approach to segment right ventricle from all of the magnetic ...
Kumaradevan Punithakumar +2 more
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Adversarial Deformation Regularization for Training Image Registration Neural Networks [PDF]
, 2018 We describe an adversarial learning approach to constrain convolutional neural network training for image registration, replacing heuristic smoothness measures of displacement fields often used in these tasks.
Barratt, Dean C. +8 more
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Deformable registration for image-guided radiation therapy [PDF]
Zeitschrift für Medizinische Physik, 2006 Ths paper examines several applications of deformable registration algorithms in the field of image-guided radiotherapy. The first part focuses on the description of input and output of deformable registration algorithms, with a brief review of conventional and most current methods.
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Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach [PDF]
, 2017 This paper introduces Quicksilver, a fast deformable image registration method. Quicksilver registration for image-pairs works by patch-wise prediction of a deformation model based directly on image appearance.
Kwitt, Roland +3 more
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Deep-learning-based deformable image registration of head CT and MRI scans
Frontiers in Physics, 2023 This work is motivated by the lack of publications on the direct application of multimodal image registration with deep-learning techniques for the enhancement of treatment planning in particle therapy.
Alexander Ratke +16 more
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A Deep Learning Framework for Unsupervised Affine and Deformable Image Registration
, 2018 Image registration, the process of aligning two or more images, is the core technique of many (semi-)automatic medical image analysis tasks. Recent studies have shown that deep learning methods, notably convolutional neural networks (ConvNets), can be ...
Berendsen, Floris F. +5 more
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Registration of brain tumor images using hyper-elastic regularization [PDF]
, 2012 In this paper, we present a method to estimate a deformation field between two instances of a brain volume having tumor. The novelties include the assessment of the disease progress by observing the healthy tissue deformation and usage of the Neo ...
Hamamci, Andac +3 more
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Multiscale Approach for Bounded Deformation Image Registration
Fractal and Fractional, 2022 Deformable image registration is a very important topic in the field of image processing. It is widely used in image fusion and shape analysis. Generally speaking, image registration models can be divided into two categories: smooth registration and non ...
Yunfeng Du, Huan Han
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