Literature DB >> 19818524

Fast free-form deformation using graphics processing units.

Marc Modat1, Gerard R Ridgway, Zeike A Taylor, Manja Lehmann, Josephine Barnes, David J Hawkes, Nick C Fox, Sébastien Ourselin.   

Abstract

A large number of algorithms have been developed to perform non-rigid registration and it is a tool commonly used in medical image analysis. The free-form deformation algorithm is a well-established technique, but is extremely time consuming. In this paper we present a parallel-friendly formulation of the algorithm suitable for graphics processing unit execution. Using our approach we perform registration of T1-weighted MR images in less than 1 min and show the same level of accuracy as a classical serial implementation when performing segmentation propagation. This technology could be of significant utility in time-critical applications such as image-guided interventions, or in the processing of large data sets. Copyright 2009 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2009        PMID: 19818524     DOI: 10.1016/j.cmpb.2009.09.002

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  272 in total

1.  A simple rapid process for semi-automated brain extraction from magnetic resonance images of the whole mouse head.

Authors:  Adam Delora; Aaron Gonzales; Christopher S Medina; Adam Mitchell; Abdul Faheem Mohed; Russell E Jacobs; Elaine L Bearer
Journal:  J Neurosci Methods       Date:  2015-10-09       Impact factor: 2.390

2.  Brain extraction from normal and pathological images: A joint PCA/Image-Reconstruction approach.

Authors:  Xu Han; Roland Kwitt; Stephen Aylward; Spyridon Bakas; Bjoern Menze; Alexander Asturias; Paul Vespa; John Van Horn; Marc Niethammer
Journal:  Neuroimage       Date:  2018-05-04       Impact factor: 6.556

3.  Validation of a nonrigid registration error detection algorithm using clinical MRI brain data.

Authors:  Ryan D Datteri; Yuan Liu; Pierre-Francois D'Haese; Benoit M Dawant
Journal:  IEEE Trans Med Imaging       Date:  2014-07-30       Impact factor: 10.048

4.  Automatic Quantification of Computed Tomography Features in Acute Traumatic Brain Injury.

Authors:  Saurabh Jain; Thijs Vande Vyvere; Vasilis Terzopoulos; Diana Maria Sima; Eloy Roura; Andrew Maas; Guido Wilms; Jan Verheyden
Journal:  J Neurotrauma       Date:  2019-02-01       Impact factor: 5.269

5.  patternize: An R package for quantifying colour pattern variation.

Authors:  Steven M Van Belleghem; Riccardo Papa; Humberto Ortiz-Zuazaga; Frederik Hendrickx; Chris D Jiggins; W Owen McMillan; Brian A Counterman
Journal:  Methods Ecol Evol       Date:  2017-07-11       Impact factor: 7.781

6.  Pulmonary Lobe Segmentation With Probabilistic Segmentation of the Fissures and a Groupwise Fissure Prior.

Authors:  Felix J S Bragman; Jamie R McClelland; Joseph Jacob; John R Hurst; David J Hawkes
Journal:  IEEE Trans Med Imaging       Date:  2017-04-18       Impact factor: 10.048

7.  Evaluation of Five Image Registration Tools for Abdominal CT: Pitfalls and Opportunities with Soft Anatomy.

Authors:  Christopher P Lee; Zhoubing Xu; Ryan P Burke; Rebeccah B Baucom; Benjamin K Poulose; Richard G Abramson; Bennett A Landman
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2015-03-20

8.  Deformable image registration with local rigidity constraints for cone-beam CT-guided spine surgery.

Authors:  S Reaungamornrat; A S Wang; A Uneri; Y Otake; A J Khanna; J H Siewerdsen
Journal:  Phys Med Biol       Date:  2014-06-17       Impact factor: 3.609

9.  Image Segmentation, Registration and Characterization in R with SimpleITK.

Authors:  Richard Beare; Bradley Lowekamp; Ziv Yaniv
Journal:  J Stat Softw       Date:  2018-09-04       Impact factor: 6.440

10.  Automatic deformable surface registration for medical applications by radial basis function-based robust point-matching.

Authors:  Youngjun Kim; Yong Hum Na; Lei Xing; Rena Lee; Sehyung Park
Journal:  Comput Biol Med       Date:  2016-08-11       Impact factor: 4.589

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.