703 Hits in 6.6 sec

An Automatic Image-Map Alignment Algorithm Based On Mutual Information And Hilbert Scan

Sei-ichiro Kamata, Li Tian
2008 Zenodo  
On the other hand, we also propose a new search strategy based on 3-D Hilbert scan. Hilbert scan is a special scan and Figure 2 gives an example of a 3-D Hilbert scan.  ...  Mutual Information (MI) is currently one of the most popular measures of them because it is based on global information of images and does not require the landmarks or features for alignment.  ... 
doi:10.5281/zenodo.41003 fatcat:wcmajimlsbgkzpo3c7t2o2hzuq

Automatic Image-Map Alignment Using Edge-Based Code Mutual Information and 3-D Hilbert Scan

Li TIAN, Sei-ichiro KAMATA
2008 The Journal of the Institute of Image Electronics Engineers of Japan  
Code Mutual Information (EBCMI) and 3-D Hilbert scan.  ...  To solve the problem, codes based on the edges of the image-map pairs are constructed and Mutual Information of the codes is computed as the similarity measure for the alignment in our method.  ...  Of them, Mutual Information (MI) is currently one of the most popular measures because it is based on global information of images and does not require the landmarks or features for alignment.  ... 
doi:10.11371/iieej.37.223 fatcat:grd44bu3sfddtkbmogwrm4k4g4

Robust Nonrigid Multimodal Image Registration Using Local Frequency Maps [chapter]

Bing Jian, Baba C. Vemuri, José L. Marroquin
2005 Lecture Notes in Computer Science  
Automatic multi-modal image registration is central to numerous tasks in medical imaging today and has a vast range of applications e.g., image guidance, atlas construction, etc.  ...  In this paper, we present a novel multi-modal 3D non-rigid registration algorithm where in 3D images to be registered are represented by their corresponding local frequency maps efficiently computed using  ...  A popular "direct" approach is based on the concept of maximizing mutual information (MI) pioneered by Viola and Wells [11] and Collignon et al., [12] and modified in Studholme et al., [13] .  ... 
doi:10.1007/11505730_42 fatcat:auyhzjqs25ajhgjcrop6vdoi6i

Correction of coherence gate curvature in high numerical aperture optical coherence imaging

Benedikt W. Graf, Steven G. Adie, Stephen A. Boppart
2010 Optics Letters  
We also discuss the use of various image quality metrics that can be used to adjust the calibrated phase in order to keep the coherence and confocal gates aligned in tissue.  ...  We present a method for correcting coherence gate curvature caused by scanning-induced path length variations in spectral-domain high-NA optical coherence imaging systems.  ...  Additional information can be found at  ... 
doi:10.1364/ol.35.003120 pmid:20847798 pmcid:PMC3206588 fatcat:wqzovn43vrfnvpbbdhyptcogmm

Digital Matters: Processes of Normalization in Medical Imaging

Hannah Fitsch, Kathrin Friedrich
2018 Catalyst Feminism Theory Technoscience  
Second, we analyze how the application of these algorithms enables and determines practices in fMRI-based research.  ...  In particular, the ideas of Joseph Fourier informed the development of fMRI imaging algorithms, which are currently applied in experimental contexts.  ...  Single slices are scanned one after the other and aligned on a z axis in order to represent a third dimension.  ... 
doi:10.28968/cftt.v4i2.29911 fatcat:lw6wax6dljgynnm2rogmjawhz4

Hybrid Cone-Beam Tomographic Reconstruction: Incorporation of Prior Anatomical Models to Compensate for Missing Data

Ofri Sadowsky, Junghoon Lee, E. Grant Sutter, Simon J. Wall, Jerry L. Prince, Russell H. Taylor
2011 IEEE Transactions on Medical Imaging  
images, and fusion of the DRR and X-ray projections, all prior to a conventional filtered back-projection algorithm.  ...  C-arm scans frequently suffer from incomplete information due to image truncation, limited scan length, or other limitations.  ...  Siewerdsen for commenting on this work.  ... 
doi:10.1109/tmi.2010.2060491 pmid:20667807 pmcid:PMC3415332 fatcat:rew63etnsfaatkweijelw6dawe

Aerial video surveillance and exploitation

R. Kumar, H. Sawhney, S. Samarasekera, S. Hsu, Hai Tao, Yanlin Guo, K. Hanna, A. Pope, R. Wildes, D. Hirvonen, M. Hansen, P. Burt
2001 Proceedings of the IEEE  
In order to delineate videos into these scene components, we have developed real time, image-processing techniques for 2-D/3-D frame-to-frame alignment, change detection, camera control, and tracking of  ...  Finally static, dynamic and reprojected mosaics may be constructed for compression, enhanced visualization, and mapping applications.  ...  ACKNOWLEDGMENT The research reported in this paper is the work of a large number of current and past members of the Vision Technologies Laboratory at Sarnoff Corporation.  ... 
doi:10.1109/5.959344 fatcat:zmkbari6ijgvredoomfqwq3wi4


D. Eggert, S. Dalyot
2012 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The Iterative Closest Point algorithm for alignment of point clouds is one of the most commonly used algorithms for matching of rigid bodies.  ...  Matching and fusion of 3D point clouds, such as close range laser scans, is important for creating an integrated 3D model data infrastructure.  ...  ACKNOWLEDGEMENTS This joint research project was financially supported by the State of Lower-Saxony and the Volkswagen Foundation, Hannover, Germany.  ... 
doi:10.5194/isprsannals-i-3-105-2012 fatcat:f2cfeq43mzeirit4kqlkqp6nri

Geometric feature-based multimodal image registration of contrast-enhanced cardiac CT with gated myocardial perfusion SPECT

Jonghye Woo, Piotr J. Slomka, Damini Dey, Victor Y. Cheng, Byung-Woo Hong, Amit Ramesh, Daniel S. Berman, Ronald P. Karlsberg, C.-C. Jay Kuo, Guido Germano
2009 Medical Physics (Lancaster)  
The extracted voxels from each level are aligned using a similarity measure with a piecewise constant image model and minimized using a gradient descent method.  ...  Rigid registration has been compared with manual alignment ͑n =45͒ on 20 stress/rest MPS and coronary CTA data sets acquired from two different sites and five stress CT perfusion data sets.  ...  Guetter et al. 12 proposed a learning-based method that exploits the mutual information and an intensity co-occurrence prior. However, this approach used an off-line training process.  ... 
doi:10.1118/1.3253301 pmid:20095259 pmcid:PMC4108676 fatcat:s7yll3g4rngavcu7syzr7cqgim

On variational solutions for whole brain serial-section histology using the computational anatomy random orbit model [article]

Brian C Lee, Daniel J Tward, Partha Pratim Mitra, Michael Miller
2018 bioRxiv   pre-print
The algorithms are demonstrated on a collection of whole-brain histological image stacks from the Mouse Brain Architecture Project.  ...  The observed sections are modelled as Gaussian random fields conditioned on a sequence of unknown section by section rigid motions and unknown diffeomorphic transformation of a three-dimensional atlas.  ...  Acknowledgments The authors would like to acknowledge Keerthi K Ram and Daniel Ferrante for all of their guidance in understanding the Mouse Brain Archi-  ... 
doi:10.1101/271692 fatcat:lgbszeegfbhyfo7pmk3ql42efq

The role of image registration in brain mapping

A.W. Toga, P.M. Thompson
2001 Image and Vision Computing  
It provides the ability to geometrically align one dataset with another, and is a prerequisite for all imaging applications that compare datasets across subjects, imaging modalities, or across time.  ...  Registration algorithms also enable the pooling and comparison of experimental findings across laboratories, the construction of population-based brain atlases, and the creation of systems to detect group  ...  Consortium for Brain Mapping, which is funded jointly by NIMH and NIDA (P20 MH/DA52176).  ... 
doi:10.1016/s0262-8856(00)00055-x pmid:19890483 pmcid:PMC2771890 fatcat:3mwtrqqzxnff3m46rlhlzaeimi

Detection of small traumatic hemorrhages using a computer-generated average human brain CT

Liza Afzali-Hashemi, Marieke Hazewinkel, Marleen C. Tjepkema-Cloostermans, Michel J. A. M. van Putten, Cornelis H. Slump
2018 Journal of Medical Imaging  
We have created an average image from 30 normal noncontrast CT scans that were automatically aligned using deformable image registration as implemented in Elastix software.  ...  Subsequently, the average image was aligned to the scans of TBI patients, and the hemorrhages were detected by a voxelwise subtraction of the average image from the CT scans of nine TBI patients.  ...  Jurrit Hof and Dr. Farhood Mojtahedi for the assessment of the images and to Dr. Harold Hom for helping us in finding suitable TBI patients. We would also like to thank Dr. Ir.  ... 
doi:10.1117/1.jmi.5.2.024004 pmid:29845090 pmcid:PMC5960809 fatcat:ymspfaxx3nghpfd2zml7i3n4hm

Automated registration of magnetic resonance imaging and optoacoustic tomography data for experimental studies

Wuwei Ren, Hlynur Skulason, Felix Schlegel, Markus Rudin, Jan Klohs, Ruiqing Ni
2019 Neurophotonics  
We developed a toolbox (RegOA), which frames an automated registration pipeline to align OAT with high-field MR images based on mutual information.  ...  We assessed the performance of the registration method using images acquired on one phantom with fiducial markers and in vivo/ex vivo data of mouse heads/brain.  ...  A model-based image inversion algorithm, or intensity correction with optical fluence variation, 48, 49 or a backprojection algorithm assisted with multiview Hilbert transformation [50] [51] [52] [53  ... 
doi:10.1117/1.nph.6.2.025001 pmid:30989087 pmcid:PMC6446211 fatcat:2y5wpghq5fezxpi5fwp4v4qeh4

Feature-Based Georegistration of Aerial Images [chapter]

Sohaib Khan, Yaser Sheikh, Mubarak Shah
2004 GeoSensor Networks  
Elevation based algorithms achieve alignment by matching the reference elevation map with an elevation map recovered from video data.  ...  Each one can have an approximate canceling effect, as the other in the pair, on the image captured. For instance, take the mutual effect of the camera focal length and the height of the camera.  ... 
doi:10.1201/9780203356869.ch7 fatcat:yghgoo5zkrenpjagywgpxrwqka

Diffusion weighted imaging-based maximum density path analysis and classification of Alzheimer's disease

Talia M. Nir, Julio E. Villalon-Reina, Gautam Prasad, Neda Jahanshad, Shantanu H. Joshi, Arthur W. Toga, Matt A. Bernstein, Clifford R. Jack, Michael W. Weiner, Paul M. Thompson
2015 Neurobiology of Aging  
After clustering tractography using an ROI atlas, we used a shortest path graph search through each bundle's fiber density map to derive maximum density paths (MDPs), which we registered across subjects  ...  As an MDP is a compact, low-dimensional representation of white matter organization, we tested the utility of DTI measures along these MDPs as features for support vector machine (SVM) based classification  ...  Acknowledgments Algorithm development and image analysis for this study was funded, in part, by grants to PT from the NIBIB (R01 EB008281, R01 EB008432) and by the NIA, NIBIB, NIMH, the National Library  ... 
doi:10.1016/j.neurobiolaging.2014.05.037 pmid:25444597 pmcid:PMC4283487 fatcat:wyw7upmqsvdbhgpabwnw5uhtty
« Previous Showing results 1 — 15 out of 703 results