Automated Segmentation and Non-Rigid Registration for the Quantitative Evaluation of Myocardial Perfusion from Magnetic Resonance Images [PDF]
, 2012 Myocardial perfusion quantification by means of Contrast-Enhanced Cardiac Magnetic Resonance images relies on time consuming frame-by-frame manual tracing of regions of interest. In this Thesis, a novel automated technique for myocardial segmentation and
Tarroni, Giacomo <1983>
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Non-rigid Registration of Medical Image Data with Incomplete Information
Vìsnik Dnìpropetrovsʹkogo Unìversitetu: Serìâ Modelûvannâ, 2010 The problem of non-rigid registration of images, where certain parts are missing, is considered in the context of pre- and intraoperative or damaged data.
O. V. Museyko +2 more
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Finite element surface registration incorporating curvature, volume preservation, and statistical model information [PDF]
, 2013 We present a novel method for nonrigid registration of 3D surfaces and images. The method can be used to register surfaces by means of their distance images, or to register medical images directly.
Vetter, Thomas +7 more
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Non-rigid image registration: theory and practice
, 2004 Image registration is an important enabling technology in medical image analysis. The current emphasis is on development and validation of application-specific non-rigid techniques, but there is already a plethora of techniques and terminology in use. In
Hill, D L G, Hartkens, T, Crum, W R
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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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Analytical studies of the behaviour of semi-rigid non-sway frames with tubular columns. [PDF]
, 1999 This thesis reports the research investigation on the behaviour of non-sway frames with SHS columns taking into consideration the influence of semi-rigid flowdrill connections.
Abd-Rahman, Ahmad Baharuddin
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NrtNet: An Unsupervised Method for 3D Non-Rigid Point Cloud Registration Based on Transformer
Sensors, 2022 Self-attention networks have revolutionized the field of natural language processing and have also made impressive progress in image analysis tasks. Corrnet3D proposes the idea of first obtaining the point cloud correspondence in point cloud registration.
Xiaobo Hu +4 more
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Fully Leveraging Deep Learning Methods for Constructing Retinal Fundus Photomontages
Applied Sciences, 2021 Retinal photomontages, which are constructed by aligning and integrating multiple fundus images, are useful in diagnosing retinal diseases affecting peripheral retina.
Jooyoung Kim +4 more
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Relationship Between Neurologic Symptoms and Signs and FMR1 Genotype in Premutation Carriers
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Fragile X‐associated Tremor/Ataxia Syndrome (FXTAS) is the most severe late‐onset condition caused by a premutation in the FMR1 gene, characterized by expanded CGG triplet repeats of 55–200. Clinical presentations of FXTAS, including gait ataxia, kinetic tremor, cognitive decline, and rare Parkinsonism, are linked to ...
Flora Tassone +8 more
wiley +1 more source
Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan +14 more
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