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Improved tensor scale computation with application to medical image interpolation
2011
Computerized Medical Imaging and Graphics
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Here, we present an improved algorithm for t-scale computation and study its application to image interpolation. ...
with those of current state-of-the-art interpolation methods. ...
Acknowledgments This work is partly supported by internal funds from the Departments of Radiology and Electrical & Computer Engineering at the University of Iowa. ...
doi:10.1016/j.compmedimag.2010.09.007
pmid:20961733
pmcid:PMC3090042
fatcat:fivdrjxnibhfvox6zta7com524
Tensor scale: An analytic approach with efficient computation and applications
2012
Computer Vision and Image Understanding
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Also, the application of tensor scale in 3-D using the previous framework is not practical due to high computational complexity. ...
Finally, the applications of tensor scale in image filtering and n-linear interpolation are presented and the performance of their results is examined in comparison with respective state-of-art methods ...
computer vision applications including image filtering and interpolation. ...
doi:10.1016/j.cviu.2012.05.006
pmid:26236148
pmcid:PMC4519998
fatcat:azmx3kkdrvcvzftowvuif3xtby
Improved Correspondence for DTI Population Studies Via Unbiased Atlas Building
[chapter]
2006
Lecture Notes in Computer Science
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We present a method for automatically finding correspondence in Diffusion Tensor Imaging (DTI) from deformable registration to a common atlas. ...
The registration image match metric uses a feature detector for thin fiber structures of white matter, and interpolation and averaging of diffusion tensors use the Riemannian symmetric space framework. ...
This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. ...
doi:10.1007/11866763_32
fatcat:i5lckqzjargwdja56deynlsmj4
Sampling and Visualizing Creases with Scale-Space Particles
2009
IEEE Transactions on Visualization and Computer Graphics
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The configuration of the particle system is visualized with tensor glyphs that display information about the local Hessian of the image, and the scale of the particle. ...
To make scale-space practical for large three-dimensional data, we present a spline-based interpolation across scale from a small number of pre-computed blurrings at optimally selected scales. ...
Scale-space particles use Hermite interpolation with optimized non-uniform samples for greatly improved accuracy. ...
doi:10.1109/tvcg.2009.177
pmid:19834216
pmcid:PMC2891996
fatcat:bingkvver5ctpenvsuioydtdoa
Reconstruction of Large, Irregularly Sampled Multidimensional Images. A Tensor-Based Approach
2011
IEEE Transactions on Medical Imaging
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Many practical applications require the reconstruction of images from irregularly sampled data. ...
After validating the proposed algorithm in 3-D and 4-D, we apply it to a concrete imaging problem: the reconstruction of medical ultrasound images (3-D+time) from a large set of irregularly sampled measurements ...
ACKNOWLEDGMENT The authors would like to thank P. Cattin and B. Krenning for providing 4-D data sets used for evaluation of presented reconstruction algorithm. ...
doi:10.1109/tmi.2010.2078832
pmid:20876011
fatcat:k2lm56amg5dxpb4rm7zs24cism
Recent improvements in tensor scale computation and its applications to medical imaging
2009
Medical Imaging 2009: Image Processing
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Also, t-scale has been applied to computing the deformation vector field with applications to medical image registration. ...
Tensor scale (t-scale) is a local morphometric parameter describing local structure shape, orientation and scale. ...
Tensor scale is a valuable feature associated with every image point and is potentially useful in several image processing and computer vision applications, especially the medical imaging applications ...
doi:10.1117/12.811360
dblp:conf/miip/XuSS09
fatcat:egx3kixxnzg6jppaomw22h4j2q
DT-REFinD: Diffusion Tensor Registration With Exact Finite-Strain Differential
2009
IEEE Transactions on Medical Imaging
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Unlike scalar images, deforming tensor images requires choosing both a reorientation strategy and an interpolation scheme. ...
Alignment quality is assessed with a battery of metrics including tensor overlap, fractional anisotropy, inverse consistency and closeness to synthetic warps. ...
Yeo would like to thank C.-F. Westin, G. Kindlmann, and M. Sabuncu for useful discussions and feedback. ...
doi:10.1109/tmi.2009.2025654
pmid:19556193
pmcid:PMC4038650
fatcat:rzwlqekafbh4zhlqgquomsylza
Bilateral Filtering of Diffusion Tensor Magnetic Resonance Images
2007
IEEE Transactions on Image Processing
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We extend the well-known scalar image bilateral filtering technique to diffusion tensor magnetic resonance images (DTMRI). ...
Analogous to bilateral filtering of scalar images, the weights are chosen to be inversely proportional to two distance measures: The geometrical Euclidean distance between the spatial locations of tensors ...
Hasan, Department of Diagnostic and Interventional Imaging, University of Texas Medical School at Houston, for providing the brain DTMRI data, and Z. Fang and M. ...
doi:10.1109/tip.2007.904964
pmid:17926929
fatcat:2ab76pl5jvhofbw6z7qkm7owzi
Non-rigid registration of medical images based on $$ {S}_2^1\left({\Delta}_{mn}^{(2)}\right) $$ non-tensor product B-spline
2022
Visual Computing for Industry, Biomedicine, and Art
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The algorithm performs completely automatic non-rigid registration of computed tomography and magnetic resonance imaging images of patients. ...
For certain problems, using non-tensor product B-splines to describe the non-rigid deformation of an image can more accurately extract the four-directional information of the image, thereby describing ...
Acknowledgments The authors thank Tangshan Gongren Hospital for their support with the original data. ...
doi:10.1186/s42492-022-00101-8
pmid:35106680
pmcid:PMC8807800
fatcat:u3tq6wdadjhl5dwuc766gkxjoy
Splines: a perfect fit for medical imaging
2002
Medical Imaging 2002: Image Processing
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They are widely used in computer-aided design and computer graphics, but have been neglected in medical imaging applications, mostly as a consequence of what one may call the "bad press" phenomenon. ...
Splines, which were invented by Schoenberg more than fifty years ago, constitute an elegant framework for dealing with interpolation and discretization problems. ...
Since quality is a major concern with medical images, it therefore makes good sense to use them in applications. ...
doi:10.1117/12.467162
dblp:conf/miip/Unser02
fatcat:vl42l7n4fjfv5bonfqrh7yfthq
Estimating intensity variance due to noise in registered images
2005
Medical Imaging 2005: Image Processing
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This is usually done by applying a spatial transformation, computed automatic or manually, to a given image using a continuous image model computed either with interpolation or approximation methods. ...
Our approach is applied to diffusion tensor (DT) MRI data. ...
The methods described here could also be useful in other biomedical imaging applications such as MR relaxometry, fMRI data analysis, voxel based morphometry, etc. ...
doi:10.1117/12.593635
dblp:conf/miip/RohdeBBP05
fatcat:4uey2n62d5banjdh4ypfbc6l6m
Non-Euclidean statistical analysis of covariance matrices and diffusion tensors
[article]
2010
arXiv
pre-print
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The statistical analysis of covariance matrices occurs in many important applications, e.g. in diffusion tensor imaging and longitudinal data analysis. ...
There are many choices of metric available, each with its advantages. The particular choice of what is best will depend on the particular application. ...
., 2007) , which has been used in diffusion tensor analysis in medical imaging with k = 3. Alternatively one could consider tanh(GA) (Batchelor et al., 2005) which is on the scale [0, 1). ...
arXiv:1010.3955v1
fatcat:6k76hdbrgza6rac5t4s7yfktze
Structure tensor based image interpolation method
2015
AEU - International Journal of Electronics and Communications
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2014 pre-print arXiv:1402.5564v2 fatcat:54f62lycujhv5mz3gk57bjtdduOther Versions
Due to application of the isotropic Gaussian filter, the classification is robust to noise presented in image. ...
Using an isotropic Gaussian filter, the structure tensor at each pixel of the input image is computed and the pixels are classified to three distinct classes; uniform region, corners and edges, according ...
INTRODUCTION Feature preserving image interpolation is an active area in the image processing field, from everyday digital pictures to application-oriented medical and satellite images. ...
doi:10.1016/j.aeue.2014.10.022
fatcat:ocsuymdo3nf2dpa6bfphfgjuvm
A Tucker decomposition process for probabilistic modeling of diffusion magnetic resonance imaging
[article]
2016
arXiv
pre-print
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Diffusion magnetic resonance imaging (dMRI) is an emerging medical technique used for describing water diffusion in an organic tissue. Typically, rank-2 tensors quantify this diffusion. ...
To overcome this limitation, several researchers proposed a diffusion representation with higher order tensors (HOT), specifically 4th and 6th orders. ...
Also, in image registration algorithms or any application where it is required to estimate data among nearby tensors of the field [26] . ...
arXiv:1606.07970v1
fatcat:i3yqlbfs3ngwdiwyr74zh35fyq
Painterly rendering with coherence for augmented reality
2010
2010 IEEE International Symposium on Mixed and Augmented Reality
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We use tensor field pyramids to interpolate sparse tensor field values over the frame to avoid the numeric problems caused by global radial basis interpolation in existing algorithms. ...
We present a painterly rendering algorithm for AR applications. This algorithm paints composed AR video frames with bump-mapping curly brushstrokes. ...
basis interpolation to compute its tensor, but we search only a small 5 × 5 window patch centered at this region. ...
doi:10.1109/ismar.2010.5643575
dblp:conf/ismar/ChenTM10
fatcat:mha3ndvgsnhcboo3sb46aicp6i
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