Literature DB >> 20175475

Technical note: deformable image registration on partially matched images for radiotherapy applications.

Deshan Yang1, S Murty Goddu, Wei Lu, Olga L Pechenaya, Yu Wu, Joseph O Deasy, Issam El Naqa, Daniel A Low.   

Abstract

In radiation therapy applications, deformable image registrations (DIRs) are often carried out between two images that only partially match. Image mismatching could present as superior-inferior coverage differences, field-of-view (FOV) cutoffs, or motion crossing the image boundaries. In this study, the authors propose a method to improve the existing DIR algorithms so that DIR can be carried out in such situations. The basic idea is to extend the image volumes and define the extension voxels (outside the FOV or outside the original image volume) as NaN (not-a-number) values that are transparent to all floating-point computations in the DIR algorithms. Registrations are then carried out with one additional rule that NaN voxels can match any voxels. In this way, the matched sections of the images are registered properly, and the mismatched sections of the images are registered to NaN voxels. This method makes it possible to perform DIR on partially matched images that otherwise are difficult to register. It may also improve DIR accuracy, especially near or in the mismatched image regions.

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Year:  2010        PMID: 20175475      PMCID: PMC4108644          DOI: 10.1118/1.3267547

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  19 in total

1.  Nonrigid registration using free-form deformations: application to breast MR images.

Authors:  D Rueckert; L I Sonoda; C Hayes; D L Hill; M O Leach; D J Hawkes
Journal:  IEEE Trans Med Imaging       Date:  1999-08       Impact factor: 10.048

2.  Image registration using hierarchical B-splines.

Authors:  Zhiyong Xie; Gerald E Farin
Journal:  IEEE Trans Vis Comput Graph       Date:  2004 Jan-Feb       Impact factor: 4.579

3.  Fast free-form deformable registration via calculus of variations.

Authors:  Weiguo Lu; Ming-Li Chen; Gustavo H Olivera; Kenneth J Ruchala; Thomas R Mackie
Journal:  Phys Med Biol       Date:  2004-07-21       Impact factor: 3.609

4.  Intensity-based image registration using robust correlation coefficients.

Authors:  Jeongtae Kim; Jeffrey A Fessler
Journal:  IEEE Trans Med Imaging       Date:  2004-11       Impact factor: 10.048

Review 5.  Non-rigid image registration: theory and practice.

Authors:  W R Crum; T Hartkens; D L G Hill
Journal:  Br J Radiol       Date:  2004       Impact factor: 3.039

6.  Correlation of projection radiographs in radiation therapy using open curve segments and points.

Authors:  J M Balter; C A Pelizzari; G T Chen
Journal:  Med Phys       Date:  1992 Mar-Apr       Impact factor: 4.071

7.  Integration of multimodality imaging data for radiotherapy treatment planning.

Authors:  M L Kessler; S Pitluck; P Petti; J R Castro
Journal:  Int J Radiat Oncol Biol Phys       Date:  1991-11       Impact factor: 7.038

8.  4D-CT motion estimation using deformable image registration and 5D respiratory motion modeling.

Authors:  Deshan Yang; Wei Lu; Daniel A Low; Joseph O Deasy; Andrew J Hope; Issam El Naqa
Journal:  Med Phys       Date:  2008-10       Impact factor: 4.071

9.  Image matching as a diffusion process: an analogy with Maxwell's demons.

Authors:  J P Thirion
Journal:  Med Image Anal       Date:  1998-09       Impact factor: 8.545

10.  Automatic three-dimensional correlation of CT-CT, CT-MRI, and CT-SPECT using chamfer matching.

Authors:  M van Herk; H M Kooy
Journal:  Med Phys       Date:  1994-07       Impact factor: 4.071

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  8 in total

1.  Demons deformable registration of CT and cone-beam CT using an iterative intensity matching approach.

Authors:  Sajendra Nithiananthan; Sebastian Schafer; Ali Uneri; Daniel J Mirota; J Webster Stayman; Wojciech Zbijewski; Kristy K Brock; Michael J Daly; Harley Chan; Jonathan C Irish; Jeffrey H Siewerdsen
Journal:  Med Phys       Date:  2011-04       Impact factor: 4.071

2.  Technical note: DIRART--A software suite for deformable image registration and adaptive radiotherapy research.

Authors:  Deshan Yang; Scott Brame; Issam El Naqa; Apte Aditya; Yu Wu; S Murty Goddu; Sasa Mutic; Joseph O Deasy; Daniel A Low
Journal:  Med Phys       Date:  2011-01       Impact factor: 4.071

3.  LungRegNet: An unsupervised deformable image registration method for 4D-CT lung.

Authors:  Yabo Fu; Yang Lei; Tonghe Wang; Kristin Higgins; Jeffrey D Bradley; Walter J Curran; Tian Liu; Xiaofeng Yang
Journal:  Med Phys       Date:  2020-02-26       Impact factor: 4.071

4.  CT to cone-beam CT deformable registration with simultaneous intensity correction.

Authors:  Xin Zhen; Xuejun Gu; Hao Yan; Linghong Zhou; Xun Jia; Steve B Jiang
Journal:  Phys Med Biol       Date:  2012-10-03       Impact factor: 3.609

5.  Temporal subtraction contrast-enhanced dedicated breast CT.

Authors:  Peymon M Gazi; Shadi Aminololama-Shakeri; Kai Yang; John M Boone
Journal:  Phys Med Biol       Date:  2016-08-05       Impact factor: 3.609

6.  Deformable image registration of CT and truncated cone-beam CT for adaptive radiation therapy.

Authors:  Xin Zhen; Hao Yan; Linghong Zhou; Xun Jia; Steve B Jiang
Journal:  Phys Med Biol       Date:  2013-10-30       Impact factor: 3.609

7.  Automatic x-ray image contrast enhancement based on parameter auto-optimization.

Authors:  Jianfeng Qiu; H Harold Li; Tiezhi Zhang; Fangfang Ma; Deshan Yang
Journal:  J Appl Clin Med Phys       Date:  2017-09-06       Impact factor: 2.102

8.  Using neural networks to extend cropped medical images for deformable registration among images with differing scan extents.

Authors:  Elizabeth M McKenzie; Nuo Tong; Dan Ruan; Minsong Cao; Robert K Chin; Ke Sheng
Journal:  Med Phys       Date:  2021-07-11       Impact factor: 4.506

  8 in total

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