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A framework for evaluating the impact of compression on registration algorithms without gold standard

Tristan Glatard, Johan Montagnat, Xavier Pennec
2008 2008 15th IEEE International Conference on Image Processing  
An evaluation of the impact of lossy compression on rigid registration algorithms for medical images is proposed.  ...  Due to the lack of gold standard for many clinical problems, the framework relies on a statistical procedure that estimates a reference from a large set of uncompressed images.  ...  It is for instance the case of the transformation of the algorithm depicted with a square on figure 1 : compression has brought it closer to the bronze standard without compression.  ... 
doi:10.1109/icip.2008.4712404 dblp:conf/icip/GlatardMP08 fatcat:fenwgpn6hbardg2lljpslko7oq

Cloud–Based Evaluation Framework for Big Data [chapter]

Allan Hanbury, Henning Müller, Georg Langs, Bjoern H. Menze
2013 Lecture Notes in Computer Science  
The VISCERAL project is building a cloud-based evaluation framework for evaluating machine learning and information retrieval algorithms on large amounts of data.  ...  This approach allows evaluations to be performed on Terabytes of data without needing to consider the logistics of moving the data or storing the data on local infrastructure.  ...  This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original  ... 
doi:10.1007/978-3-642-38082-2_9 fatcat:yuzibncwpbhpdpaks3x5y3loli

Using patient-specific phantoms to evaluate deformable image registration algorithms for adaptive radiation therapy

Nick Stanley, Carri Glide-Hurst, Jinkoo Kim, Jeffrey Adams, Shunshan Li, Ning Wen, Indrin J Chetty, Hualiang Zhong
2013 Journal of Applied Clinical Medical Physics  
The FEM-DVF served as a gold standard for verification of the two registration algorithms performed on these phantoms.  ...  The registration algorithms were also evaluated at the homologous points quantified in the CT images of a physical lung phantom.  ...  These phantoms will be used to evaluate the impact of motion magnitudes on registration accuracy.  ... 
doi:10.1120/jacmp.v14i6.4363 pmid:24257278 pmcid:PMC4041490 fatcat:kj2htnjjfze4tj5a7lq4iajd4m

A deformable model for tracking tumors across consecutive imaging studies

Gabriela Niculescu, John L. Nosher, M. D. Benjamin Schneider, David J. Foran
2009 International Journal of Computer Assisted Radiology and Surgery  
Using this framework, the major challenge for tracking tumor location is not the tissue mechanical properties for FEM modeling but rather the evaluation of boundary conditions.  ...  Results-Using both 2D synthetic phantoms and imaged 3D beef liver data we performed gold standard registration while measuring the accuracy of non-rigid deformation.  ...  The goal of this section is to evaluate the framework proposed with respect to registration performance of the three possible registration methods.  ... 
doi:10.1007/s11548-009-0298-x pmid:19774096 pmcid:PMC2747734 fatcat:pi2dxp56lrfnljwprfg7yqm7xy

Image artefact propagation in motion estimation and reconstruction in interventional cardiac C-arm CT

K Müller, A K Maier, C Schwemmer, G Lauritsch, S De Buck, J-Y Wielandts, J Hornegger, R Fahrig
2014 Physics in Medicine and Biology  
The algorithms were tested on a mathematical phantom data set with and without a catheter and on two porcine models using qualitative and quantitative measures.  ...  Different reconstruction algorithms are evaluated for a recently proposed cardiac C-arm CT acquisition protocol.  ...  Foundation (DFG) in the framework of the German excellence initiative.  ... 
doi:10.1088/0031-9155/59/12/3121 pmid:24840084 pmcid:PMC4110354 fatcat:dk2arrvb5fezrnt7fq5ksvix3i

Fast algorithm for probabilistic bone edge detection (FAPBED)

Danilo Scepanovic, Joshua Kirshtein, Ameet K. Jain, Russell H. Taylor, J. Michael Fitzpatrick, Joseph M. Reinhardt
2005 Medical Imaging 2005: Image Processing  
The algorithm evaluates different features for detecting the probability of a bone surface at each voxel, and compounds the results of these methods to yield a final, low-noise, probability map of bone  ...  An un-optimized fully automatic Matlab code runs in five minutes per CT volume on average, and was validated by comparison against hand-segmented gold standards.  ...  Branislav Jaramaz (Carnegie-Mellon University) for supplying the CT volumes. This work is supported in part by the National Science Foundation under grant EEC9731478.  ... 
doi:10.1117/12.596950 dblp:conf/miip/ScepanovicKJT05 fatcat:5bymqvjmfrg3lavyagqy4ckgbq

A Framework for the Objective Assessment of Registration Accuracy

Francesca Pizzorni Ferrarese, Flavio Simonetti, Roberto Israel Foroni, Gloria Menegaz
2014 International Journal of Biomedical Imaging  
Results revealed a higher correlation and a lower dispersion among the metrics for simulated data, while the opposite trend was observed for pathologic ones.  ...  The concept is demonstrated on a case study: intrasubject rigid and affine registration of magnetic resonance images. Both synthetic and real data are considered.  ...  Conflict of Interests The authors declare that there is no conflict of interests regarding the publication of this paper.  ... 
doi:10.1155/2014/128324 pmid:24659997 pmcid:PMC3934625 fatcat:6e3asftuezgstj72dnt3nx5bay

Improving Registration Robustness for Image-Guided Liver Surgery in a Novel Human-to-Phantom Data Framework

Jarrod A. Collins, Jared A. Weis, Jon S. Heiselman, Logan W. Clements, Amber L. Simpson, William R. Jarnagin, Michael I. Miga
2017 IEEE Transactions on Medical Imaging  
This paper reported herein realizes a novel tractable approach for the validation of image-tophysical registration methods and demonstrates promising results for our correction method.  ...  We propose a novel human-to-phantom validation framework that transforms surface collection patterns from in vivo IGLS procedures (n = 13) onto a well-characterized hepatic deformation phantom for the  ...  Acknowledgments This work was supported in part by the National Institutes of Health, in part by the National Cancer Institute under Award R01CA162477, and in part by the National Institute of Biomedical  ... 
doi:10.1109/tmi.2017.2668842 pmid:28212080 pmcid:PMC5757161 fatcat:ei7en4zkxrg3vfi3uszxzvvnqy

A system for automatic monitoring of surgical instruments and dynamic, non-rigid surface deformations in breast cancer surgery

Winona Richey, Ma Luo, Sarah E. Goodale, Logan W. Clements, Ingrid M. Meszoely, Michael I. Miga, Robert J. Webster, Baowei Fei
2018 Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling  
The proposed instrumentation framework demonstrated potential for the continuous measurement of surgical instruments in relation to the dynamic deformations of a breast during lumpectomy.  ...  Average FREs of 2.7 ± 0.4 mm and 2.4 ± 0.6 mm with each stereo-camera device demonstrate considerable promise for this approach in monitoring the surgical field.  ...  ACKNOWLEDGEMENTS This work was supported in part by the NIH-NCI grant R01CA162477 and NIH-NIBIB grant R21EB022380.  ... 
doi:10.1117/12.2295221 pmid:31130766 pmcid:PMC6530568 fatcat:icbxz7n2zraj7kdhnvzvfm2jua

Probabilistic Cause-of-Death Assignment Using Verbal Autopsies

Tyler H. McCormick, Zehang Richard Li, Clara Calvert, Amelia C. Crampin, Kathleen Kahn, Samuel J. Clark
2016 Journal of the American Statistical Association  
Worldwide, fewer than one-third of deaths are assigned a cause, with the least information available from the most impoverished nations.  ...  In areas without complete-coverage civil registration and vital statistics systems there is uncertainty about even the most basic demographic indicators.  ...  a gold standard.  ... 
doi:10.1080/01621459.2016.1152191 pmid:27990036 pmcid:PMC5154628 fatcat:4ivun4p5g5efnmsvxjyxcd66me

Motion compensated cine CMR of the fetal heart using radial undersampling and compressed sensing

Christopher W. Roy, Mike Seed, John C. Kingdom, Christopher K. Macgowan
2017 Journal of Cardiovascular Magnetic Resonance  
To develop and evaluate a reconstruction framework for high resolution time-resolved CMR of the fetal heart in the presence of motion.  ...  The relative spatial blur between cines with and without motion correction increased with in-plane RMS displacement leading to an effective decrease in the effective spatial resolution for images without  ...  Availability of data and materials The datasets analysed during the current study are available from the corresponding author on reasonable request.  ... 
doi:10.1186/s12968-017-0346-6 pmid:28316282 pmcid:PMC5357808 fatcat:yemkupvvongabicadwjptvnrza

The effect of multispectral image fusion enhancement on human efficiency

Jennifer L. Bittner, M. Trent Schill, Fairul Mohd-Zaid, Leslie M. Blaha
2017 Cognitive Research  
Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently  ...  Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently  ...  Acknowledgements The authors would like to acknowledge Jason M. Gold for his mentoring in many integral aspects of this work, Joseph W.  ... 
doi:10.1186/s41235-016-0045-0 pmid:28367499 pmcid:PMC5357665 fatcat:njts4sqq6bcgjbauldlig4m574

EVolution: an edge-based variational method for non-rigid multi-modal image registration

B Denis de Senneville, C Zachiu, M Ries, C Moonen
2016 Physics in Medicine and Biology  
Results obtained on an annotated CT data set were comparable to the ones provided by state-of-the-art multi-modal image registration algorithms, for all tested experimental conditions (image prefiltering  ...  This is achieved using a variational scheme that provides a fast algorithm with a low number of control parameters.  ...  Acknowledgment The authors thank the ITEA (project 12026, SoRTS) and the European Research Council (project ERC-2010-AdG-20100317, Sound Pharma) for funding.  ... 
doi:10.1088/0031-9155/61/20/7377 pmid:27694705 fatcat:yodbbqn2lbfyxkzfot5wkhb3wa

Connecting low-power and lossy networks to the internet

Jeonggil Ko, A Terzis, S Dawson-Haggerty, D E Culler, J W Hui, P Levis
2011 IEEE Communications Magazine  
for the localized algorithms and in-network processing required to achieve robustness and scalability; and that an architecture designed to accommodate a wide range of applications was unnecessary as sensor  ...  This freedom to develop new protocols without regard to an existing architecture allowed sensor network researchers to quickly invent and evaluate new protocols, as well as gain experience of their use  ...  of the impact of a particular innovation.  ... 
doi:10.1109/mcom.2011.5741163 fatcat:on2ihkkrbzeahpwg3plhpfculu

A framework for deformable image registration validation in radiotherapy clinical applications

Raj Varadhan, Grigorios Karangelis, Karthik Krishnan, Susanta Hui
2013 Journal of Applied Clinical Medical Physics  
The proposed framework offers the application of known deformations on any image datasets, to evaluate the overall accuracy and limitations of a DIR algorithm used in radiation oncology.  ...  The purpose of this study is to describe a framework to test the accuracy of DIR based on computational modeling and evaluating using inverse consistency and other methods.  ...  ACkNOwLEDgMENtS This work was partially supported by the National Institute of Health grants (1R01CA154491-01).  ... 
doi:10.1120/jacmp.v14i1.4066 pmid:23318394 pmcid:PMC3732001 fatcat:ytaauqm4rjhkvgou2xuunqx7ee
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