Evaluation of deformable image registration and a motion model in CT images with limited features Journal Article
| Authors: | Liu, F.; Hu, Y.; Zhang, Q.; Kincaid, R.; Goodman, K. A.; Mageras, G. S. |
| Article Title: | Evaluation of deformable image registration and a motion model in CT images with limited features |
| Abstract: | Deformable image registration (DIR) is increasingly used in radiotherapy applications and provides the basis for a previously described model of patient-specific respiratory motion. We examine the accuracy of a DIR algorithm and a motion model with respiration-correlated CT (RCCT) images of software phantom with known displacement fields, physical deformable abdominal phantom with implanted fiducials in the liver and small liver structures in patient images. The motion model is derived from a principal component analysis that relates volumetric deformations with the motion of the diaphragm or fiducials in the RCCT. Patient data analysis compares DIR with rigid registration as ground truth: the mean ± standard deviation 3D discrepancy of liver structure centroid positions is 2.0 ± 2.2 mm. DIR discrepancy in the software phantom is 3.8 ± 2.0 mm in lung and 3.7 ± 1.8 mm in abdomen; discrepancies near the chest wall are larger than indicated by image feature matching. Marker's 3D discrepancy in the physical phantom is 3.6 ± 2.8 mm. The results indicate that visible features in the images are important for guiding the DIR algorithm. Motion model accuracy is comparable to DIR, indicating that two principal components are sufficient to describe DIR-derived deformation in these datasets. © 2012 Institute of Physics and Engineering in Medicine. |
| Keywords: | three dimensional; methodology; computer assisted tomography; biological model; models, biological; lung neoplasms; tomography, x-ray computed; algorithms; lung tumor; liver; evaluation; computerized tomography; image quality; radiography; phantoms, imaging; image processing, computer-assisted; image processing; computer program; software; abdominal radiography; respiratory motions; image registration; deformation; radiography, abdominal; data sets; chest wall; principal component analysis; movement; ground truth; movement (physiology); rigid registration; respiration-correlated ct; standard deviation; principal components; deformable image registration; patient data; ct image; displacement field; fiducials; image features; motion models; patient images; radiotherapy applications; software phantom; volumetric deformation; hospital data processing; image matching |
| Journal Title: | Physics in Medicine and Biology |
| Volume: | 57 |
| Issue: | 9 |
| ISSN: | 0031-9155 |
| Publisher: | IOP Publishing Ltd |
| Date Published: | 2012-05-07 |
| Start Page: | 2539 |
| End Page: | 2554 |
| Language: | English |
| DOI: | 10.1088/0031-9155/57/9/2539 |
| PROVIDER: | scopus |
| PUBMED: | 22491010 |
| PMCID: | PMC3349335 |
| DOI/URL: | |
| Notes: | --- - "Export Date: 1 May 2012" - "CODEN: PHMBA" - "Source: Scopus" |
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