Literature DB >> 18404949

How does CT image noise affect 3D deformable image registration for image-guided radiotherapy planning?

Martin J Murphy1, Zhouping Wei, Mirek Fatyga, Jeffrey Williamson, Mitchell Anscher, Timothy Wallace, Elizabeth Weiss.   

Abstract

PURPOSE: To measure the sensitivity of deformable image registration to image noise. Deformable image registration can be used to map organ contours and other treatment planning data from one CT to another. These CT studies can be acquired with either conventional fan-beam CT systems or more novel cone-beam CT techniques. However, cone-beam CT images can have higher noise levels than fan-beam CT, which might reduce registration accuracy. We have investigated the effect of image quality differences on the deformable registration of fan-beam CTs and CTs with simulated cone-beam noise.
METHOD: Our study used three CT studies for each of five prostate patients. Each CT was contoured by three experienced radiation oncologists. For each patient, one CT was designated the source image and the other two were target images. A deformable image registration process was used to register each source CT to each target CT and then transfer the manually drawn treatment planning contours from the source CT to the target CTs. The accuracy of the automatically transferred contours (and thus of the deformable registration process) was assessed by comparing them to the manual contours on the target CTs, with the differences evaluated with respect to interobserver variability in the manual contours. Then each of the target CTs was modified to include increased noise characteristic of cone-beam CT and the tests were repeated. Changes in registration accuracy due to increased noise were detected by monitoring changes in the automatically transferred contours.
RESULTS: We found that the additional noise caused no significant loss of registration accuracy at magnitudes that exceeded what would normally be found in an actual cone-beam CT.
SUMMARY: We conclude that noise levels in cone-beam CTs that might reduce manual contouring accuracy do not reduce image registration and automatic contouring accuracy.

Entities:  

Mesh:

Year:  2008        PMID: 18404949     DOI: 10.1118/1.2837292

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


  18 in total

1.  A method to estimate the effect of deformable image registration uncertainties on daily dose mapping.

Authors:  Martin J Murphy; Francisco J Salguero; Jeffrey V Siebers; David Staub; Constantin Vaman
Journal:  Med Phys       Date:  2012-02       Impact factor: 4.071

2.  Assessing the intrinsic precision of 3D/3D rigid image registration results for patient setup in the absence of a ground truth.

Authors:  Jian Wu; Martin J Murphy
Journal:  Med Phys       Date:  2010-06       Impact factor: 4.071

3.  A pseudoinverse deformation vector field generator and its applications.

Authors:  C Yan; H Zhong; M Murphy; E Weiss; J V Siebers
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

4.  Image-based modeling of tumor shrinkage in head and neck radiation therapy.

Authors:  Ming Chao; Yaoqin Xie; Eduardo G Moros; Quynh-Thu Le; Lei Xing
Journal:  Med Phys       Date:  2010-05       Impact factor: 4.071

5.  Optimization of an on-board imaging system for extremely rapid radiation therapy.

Authors:  Erica M Cherry Kemmerling; Meng Wu; He Yang; Peter G Maxim; Billy W Loo; Rebecca Fahrig
Journal:  Med Phys       Date:  2015-11       Impact factor: 4.071

6.  Feature-based rectal contour propagation from planning CT to cone beam CT.

Authors:  Yaoqin Xie; Ming Chao; Percy Lee; Lei Xing
Journal:  Med Phys       Date:  2008-10       Impact factor: 4.071

7.  Clinical evaluation of soft tissue organ boundary visualization on cone-beam computed tomographic imaging.

Authors:  Elisabeth Weiss; Jian Wu; William Sleeman; Joshua Bryant; Priya Mitra; Michael Myers; Tatjana Ivanova; Nitai Mukhopadhyay; Viswanathan Ramakrishnan; Martin Murphy; Jeffrey Williamson
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-06-09       Impact factor: 7.038

8.  Reconstruction of a cone-beam CT image via forward iterative projection matching.

Authors:  R Scott Brock; Alen Docef; Martin J Murphy
Journal:  Med Phys       Date:  2010-12       Impact factor: 4.071

9.  Optimal slice thickness for cone-beam CT with on-board imager.

Authors:  Kyt Seet; A Barghi; S Yartsev; J Van Dyk
Journal:  Biomed Imaging Interv J       Date:  2010-07-01

Review 10.  Past, present and future role of retinal imaging in neurodegenerative disease.

Authors:  Amir H Kashani; Samuel Asanad; Jane W Chan; Maxwell B Singer; Jiong Zhang; Mona Sharifi; Maziyar M Khansari; Farzan Abdolahi; Yonggang Shi; Alessandro Biffi; Helena Chui; John M Ringman
Journal:  Prog Retin Eye Res       Date:  2021-01-15       Impact factor: 19.704

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