Mutual-information-based registration of medical images: a survey

By Josien P. W. Pluim, J. B. Antoine Maintz, Max A. Viergever. 2003

3,257 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition

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In Biomedical Engineering

In Computer Vision and Pattern Recognition

Citations in the corpus

Deep LAC: Deep localization, alignment and classification for fine-grained recognition (2015, methodology): “This pose similarity function is based on mutual information [18].”
A survey on deep learning-based fine-grained object classification and semantic segmentation (2017, background): “, bounding box) from the localization sub-network, performs template alignment([29]) and feeds a pose-aligned part image to classification.”
Partial volume effect as a hidden covariate in DTI analyses (2011, methodology): “, 2010) using an affine coregistration technique (12 degrees of freedom) with mutual information as the cost function (Pluim et al., 2003).”
Equitability, mutual information, and the maximal information coefficient (2013, background): “Although substantial difficulties with estimating mutual information on continuous data remain, such estimates have proved useful in a variety of realworld problems in neuroscience (14, 15, 25), molecular biology (16, 17, 26–28), medical imaging (29), and signal processing (13).”
A Review of Point Cloud Registration Algorithms for Mobile Robotics (2015, background): “Although surveys exist to support registration in medical imagery [Maintz and Viergever, 1998, Markelj et al., 2012, Fluck et al., 2011, Pluim et al., 2003] and object reconstructions/recognition [Salvi et al., 2007, Bowyer et al., 2006], there is no scientific publication covering the evolution of…”
End-to-End Adversarial Retinal Image Synthesis (2018, methodology): “To perform this matching, we apply the Mutual Information (MI) measure, widely used in medical image registration [30].”
The Imaging of Dynamic Multiphase Fluid Flow Using Synchrotron-Based X-ray Microtomography at Reservoir Conditions (2015, methodology): “This was done by comparing each image to the first in the sequence (the reference image) using a normalised mutual information metric (Pluim et al. 2000, 2003) in the process of registration.”
A survey of GPU-based medical image computing techniques. (2012, background): “MI might be the most currently popular multimodal measure, and the corresponding MI-based image registration technique has received much attention in the literature (85).”
Real-time Deep Pose Estimation with Geodesic Loss for Image-to-Template Rigid Registration (2018, background): “com/SadeghMSalehi/DeepRegistration range from image-based navigation in imaging and imageguided interventions to longitudinal and group analyses [1], [2], [3], [4], [5], [6], [7].”
A Partial Intensity Invariant Feature Descriptor for Multimodal Retinal Image Registration (2010, positive): “The area-based approaches [12]–[24] compare and match the intensity differences of an image pair under a similarity metric such as mutual information [19]–[22] and cross correlation [12], [15], and then apply an optimization technique [23], [24] to maximize”
A survey of medical image registration - under review (2016, neutral): “See ( Wells et al., 1996; Maes et al., 1997 ) for introductory articles on mutual-information-based image registration, and ( Pluim et al., 2003 ) for a survey.”
A review of atlas-based segmentation for magnetic resonance brain images (2011, background): “These lesions induce large deformations and lack clear anatomical detail due to infiltration and edema [12], making the registration of diseased brains with normal atlases difficult.”
Machine Learning and Radiology (2012, methodology): “Thus registration based on mutual information has drawn a lot of attention in recent years and served as the basis of many medical image registration methods (Pluim et al., 2003).”
Visualization and Visual Analysis of Multifaceted Scientific Data: A Survey (2013, neutral): “Examples are different medical scans such as computer tomography (CT) or magnetic resonance imaging (MRI), which have to be coregistered first [27], [28].”