Classification and Evaluation of Muti Modal Medical Image Registration Methods and Similarity Measures [PDF]
AUT Journal of Modeling and Simulation, 2023 Image registration is a fundamental issue in medical image analysis. It refers to the matching process between two or more images using the optimization of a similarity metric to find an optimal transformation function.
Zohre Mohamadi, Mohammadreza Keyvanpour
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Medical imaging analysis with artificial neural networks [PDF]
, 2010 Given that neural networks have been widely reported in the research community of medical imaging, we provide a focused literature survey on recent neural network developments in computer-aided diagnosis, medical image segmentation and edge detection ...
Jiang, J., Ren, Jinchang, Trundle, P.
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Deformable medical image registration: a survey. [PDF]
IEEE Trans Med Imaging, 2013 Sotiras A, Davatzikos C, Paragios N.
europepmc +2 more sources
Enhancing medical image registration via appearance adjustment networks
NeuroImage, 2022 Deformable image registration is fundamental for many medical image analyses. A key obstacle for accurate image registration lies in image appearance variations such as the variations in texture, intensities, and noise.
Mingyuan Meng +4 more
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Toward Computing Cross-Modality Symmetric Non-Rigid Medical Image Registration
IEEE Access, 2022 This paper describes a new non-rigid approach to register images from same- and cross-imaging modalities such as magnetic resonance imaging, computed tomography, and 3D rotational angiography.
Snigdha Mohanty, Sarada Prasad Dakua
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Validation of nonrigid image registration using finite-element methods: application to breast MR images. [PDF]
, 2003 This paper presents a novel method for validation of nonrigid medical image registration. This method is based on the simulation of physically plausible, biomechanical tissue deformations using finite-element methods. Applying a range of displacements to
Leach, MO +13 more
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Variational image registration using inhomogeneous regularization [PDF]
, 2014 We present a generalization of the convolution basedvariational image registration approach, in which differentregularizers can be implemented by conveniently exchangingthe convolution kernel, even if it is nonseparableor nonstationary.
Albrecht, Thomas +4 more
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3D statistical shape models of human bones : their construction using a finite element registration algorithm, formulation on Hilbert spaces, and application to medical image analysis [PDF]
, 2011 Statistical shape models have become a widely used tool in computer vision and medical image analysis. They are constructed from a representative set of example shapes and represent the normal shape variations of a class of objects, in our case of human
Albrecht, Thomas
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Applied Sciences, 2023 Medical image registration is a fundamental and indispensable element in medical image analysis, which can establish spatial consistency among corresponding anatomical structures across various medical images.
Aolin Yang +5 more
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Statistical Motion Mask and Sliding Registration [PDF]
, 2018 Accurate registration of images depicting respiratory motion, e.g. 4DCT or 4DMR, can be challenging due to sliding motion that occurs between the chest wall and organs within the pleural sac (lungs, mediastinum, liver).
Oelfke, U +11 more
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