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A 3D-2D Image Registration Algorithm for Kinematic Analysis of the Knee after Total Knee Arthroplasty (TKA)

Mafruha Mowin Hossain, Abdullah A. Muhit, Mark R. Pickering, Jennie Scarvell, Paul Smith
2013 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA)  
Image registration is the process of spatially aligning one image to another. It has applications in different areas of medical image analysis.  ...  In this paper, we propose a noninvasive and robust 3D to 2D registration method, which can be used for 3D evaluations of the status of knee implants.  ...  It applied a probability density function of gradient directions and a weighted histogram of image gradient directions (WHGD) as the image feature for the matching process between images to be registered  ... 
doi:10.1109/dicta.2013.6691472 dblp:conf/dicta/HossainMPSS13 fatcat:2phvk7zzl5fb7mddhiq23frmwy

Highly-Automatic MI Based Multiple 2D/3D Image Registration Using Self-initialized Geodesic Feature Correspondences [chapter]

Hongwei Zheng, Ioan Cleju, Dietmar Saupe
2010 Lecture Notes in Computer Science  
In this paper, we present a novel approach for achieving highly-automatic 2D/3D image registration integrating the advantages from both entropy MI and spatial geometric features correspondence methods.  ...  Intensity based registration methods, such as the mutual information (MI), do not commonly consider the spatial geometric information and the initial correspondences are uncertainty.  ...  One sampling is used to estimate the probability density function with the Parzen window method, which is then evaluated on the second sampling.  ... 
doi:10.1007/978-3-642-12297-2_41 fatcat:byxd7uhgkbhmvhy3pv2xsovpre

Deep Learning in Medical Image Registration: A Review [article]

Yabo Fu, Yang Lei, Tonghe Wang, Walter J. Curran, Tian Liu, Xiaofeng Yang
2019 arXiv   pre-print
This paper presents a review of deep learning (DL) based medical image registration methods.  ...  We provided a comprehensive comparison among DL-based methods for lung and brain deformable registration using benchmark datasets.  ...  Acknowledgements This research is supported in part by the National Cancer Institute of the National Institutes of Health under Award Number R01CA215718, and Dunwoody Golf Club Prostate Cancer Research Award, a  ... 
arXiv:1912.12318v1 fatcat:kuvckosqd5hp7asg6dofhuiis4

Intraoperative augmented reality for minimally invasive liver interventions

Michael Scheuering, Andrea Schenk, Armin Schneider, Bernhard Preim, Guenther Greiner, Robert L. Galloway, Jr.
2003 Medical Imaging 2003: Visualization, Image-Guided Procedures, and Display  
The intraoperative visualization is based on a standard graphics adapter for hardware accelerated high performance direct volume rendering.  ...  Methods for fast segmentation of the liver parenchyma, of the intrahepatic vessels and of liver lesions are provided.  ...  The cost-function is a weighted sum considering the magnitude of the gradient, the direction of the gradient and the laplacian zero-crossing.  ... 
doi:10.1117/12.480212 dblp:conf/miigp/ScheueringSSPG03 fatcat:c5k5r77kw5arzm2gnpigfm6flq

Estimating Articulated Human Motion with Covariance Scaled Sampling

Cristian Sminchisescu, Bill Triggs
2003 The international journal of robotics research  
We present a method for recovering three-dimensional (3D) human body motion from monocular video sequences based on a robust image matching metric, incorporation of joint limits and non-selfintersection  ...  constraints, and a new sample-and-refine search strategy guided by rescaled cost-function covariances.  ...  We would like to thank Alexandru Telea for stimulating discussions and implementation assistance and Frédérick Martin for helping with the video capture and posing as a model.  ... 
doi:10.1177/0278364903022006003 fatcat:d74mezlpg5cl3kkbc3luztwxda

Estimating Articulated Human Motion With Covariance Scaled Sampling

Cristian Sminchisescu, Bill Triggs
2003 The international journal of robotics research  
We present a method for recovering three-dimensional (3D) human body motion from monocular video sequences based on a robust image matching metric, incorporation of joint limits and non-selfintersection  ...  constraints, and a new sample-and-refine search strategy guided by rescaled cost-function covariances.  ...  We would like to thank Alexandru Telea for stimulating discussions and implementation assistance and Frédérick Martin for helping with the video capture and posing as a model.  ... 
doi:10.1177/027836403128965132 fatcat:jdifv2mmtbbkppjcgnb7edqvqe

2D/3D registration algorithm for lung brachytherapy

P. S. Zvonarev, T. J. Farrell, R. Hunter, M. Wierzbicki, J. E. Hayward, R. K. Sur
2013 Medical Physics (Lancaster)  
The algorithm utilizes a rigid registration model based on a pixel/voxel intensity matching approach.  ...  A similarity measure combining normalized mutual information (NMI), image gradient, and intensity difference was developed.  ...  This was shown to be important for a 3D-2D registration technique in HDR brachytherapy 1 .  ... 
doi:10.1118/1.4788663 pmid:23387761 fatcat:6xmvqy26vvdzrf3otdm6vhtvyu

An Application Independent Review of Multimodal 3D Registration Methods

Ph.D. E. Saiti, T. Theoharis
2020 Computers & graphics  
of a distance function harder.  ...  Methods with publicly available source code have been compared on common datasets. A discussion on trends, observations and challenges for further research concludes the review.  ...  In this method, the initial pose is calculated based on GA and then an iterative method is used to solve the registration by minimizing a global objective function.  ... 
doi:10.1016/j.cag.2020.07.012 fatcat:ggb4esbyhrfzxhcequym5dariu

Analysis of 3D Face Reconstruction

S. Hassan Amin, Duncan Gillies
2007 14th International Conference on Image Analysis and Processing (ICIAP 2007)  
The proposed method uses the improved dense 3D correspondence obtained using rigid and non-rigid registration techniques.  ...  The novel contribution of this thesis is a new technique for creating 3D face models from a single 2D face image.  ...  , pixel-wise threshold, decaying exponential, and a probability density function assuming a Gaussian intensity distribution.  ... 
doi:10.1109/iciap.2007.4362813 dblp:conf/iciap/AminG07 fatcat:xzso4kbgcjbmxicgx7cx32xwdy

Protein surface representation and analysis by dimension reduction

Heng Yang, Rehman Qureshi, Ahmet Sacan
2012 Proteome Science  
The resulting images can then be compared using efficient 2-D image registration methods to identify surface regions and features shared by proteins.  ...  Our method is based on mapping the 3-D protein surfaces onto 2-D maps using various dimension reduction methods.  ...  Acknowledgements This article has been published as part of Proteome Science Volume 10 Supplement 1, 2012: Selected articles from the IEEE International Conference on Bioinformatics and Biomedicine 2011  ... 
doi:10.1186/1477-5956-10-s1-s1 pmid:22759567 pmcid:PMC3380731 fatcat:v3robaetejealdrnz66r72wf2a

Automatic Extrinsic Calibration of Vision and Lidar by Maximizing Mutual Information

Gaurav Pandey, James R. McBride, Silvio Savarese, Ryan M. Eustice
2014 Journal of Field Robotics  
This paper reports on an algorithm for automatic, targetless, extrinsic calibration of a lidar and optical camera system based upon the maximization of mutual information between the sensor measured surface  ...  The proposed method is completely data driven and does not require any fiducial calibration targets-making in situ calibration easy.  ...  Acknowledgements This work was supported by Ford Motor Company via a grant from the Ford-UofM alliance via award number N015392.  ... 
doi:10.1002/rob.21542 fatcat:oxdlmtelrfcanp26xox4bglyaa

Keyframe-based monocular SLAM: design, survey, and future directions

Georges Younes, Daniel Asmar, Elie Shammas, John Zelek
2017 Robotics and Autonomous Systems  
Although filter-based monocular SLAM systems were common at some time, the more efficient keyframe-based solutions are becoming the de facto methodology for building a monocular SLAM system.  ...  Second, it presents a survey that covers the various keyframe-based monocular SLAM systems in the literature, detailing the components of their implementation, and critically assessing the specific strategies  ...  Data association VSLAM methods are categorized based on the type of information they process from the images, as being direct, feature-based, or a hybrid of both.  ... 
doi:10.1016/j.robot.2017.09.010 fatcat:b6ilgshsinckjdnlsozmjppkly

On feature extraction by mutual information maximization

Kari Torkkola
2002 IEEE International Conference on Acoustics Speech and Signal Processing  
Instead of a commonly used mutual information measure based on Kullback-Leibler divergence, we use a quadratic divergence measure, which allows us to make an efficient non-parametric implementation and  ...  We present a method for learning discriminative feature transforms using as criterion the mutual information between class labels and transformed features.  ...  Parzen Density Estimation Entropy measures of continuous variables are based on probability density functions of the variables.  ... 
doi:10.1109/icassp.2002.5743865 dblp:conf/icassp/Torkkola02 fatcat:uzp6s7pznjbezkzyb2of2o7fvy

An Overview to Visual Odometry and Visual SLAM: Applications to Mobile Robotics

Khalid Yousif, Alireza Bab-Hadiashar, Reza Hoseinnezhad
2015 Intelligent Industrial Systems  
We discuss the fundamentals of robot navigation requirements and provide a review of the state of the art techniques that form the bases of established solutions for mobile robots localization and mapping  ...  We discuss and compare the basics of most common SLAM methods such as the Extended Kalman Filter SLAM (EKF-SLAM), Particle Filter and the most recent RGB-D SLAM.  ...  The most common method is to estimate the motion based on the 3D-2D re-projection error.  ... 
doi:10.1007/s40903-015-0032-7 fatcat:jndhsezkhjepdizyaq4odtvgba

Validation of Segmented Brain Tumor from MRI Images Using 3D Printingthe

Ujwal Ashok Nayak, Mamatha Balachandra, Manjunath K N, Rajendra Kurady
2021 Asian Pacific Journal of Cancer Prevention  
Then the distance between two voxels was measured using electronic callipers on the 3D volume in a specific direction.  ...  And next, the same distance was measured in the same direction on the 3D printed object.  ...  MRI scanning parameters are scanning sequence = {IR, EP}, Scan options = {PER, RG, PFF}, MR acquisition type ={3D, 2D}, Imaged nucleus = {1H, 31P}, Image type = { PHASE MAP, MPR, T1 MAP, T2 MAP}, Spatial  ... 
doi:10.31557/apjcp.2021.22.2.523 pmid:33639669 pmcid:PMC8190338 fatcat:5gci4z3xh5dafgk5kripkcqkra
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