Modeling intra-fractional abdominal configuration changes using breathing motion-corrected radial MRI

Lianli Liu; Adam Johansson; Yue Cao; Rojano Kashani; Theodore S Lawrence; James M Balter

doi:10.1088/1361-6560/abef42

Modeling intra-fractional abdominal configuration changes using breathing motion-corrected radial MRI

Phys Med Biol. 2021 Apr 12;66(8):10.1088/1361-6560/abef42. doi: 10.1088/1361-6560/abef42.

Authors

Lianli Liu^{1

2}, Adam Johansson^{1

3

4}, Yue Cao^{1

5

6}, Rojano Kashani¹, Theodore S Lawrence¹, James M Balter¹

Affiliations

¹ Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48109, United States of America.
² Department of Radiation Oncology, Stanford University, Palo Alto, CA 94304, United States of America.
³ Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, SE 75185, Sweden.
⁴ Department of Surgical Sciences, Uppsala University, Uppsala, SE 75185, Sweden.
⁵ Department of Radiology, University of Michigan, Ann Arbor, MI 48109, United States of America.
⁶ Department of biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, United States of America.

Abstract

Abdominal organ motions introduce geometric uncertainties to gastrointestinal radiotherapy. This study investigated slow drifting motion induced by changes of internal anatomic organ arrangements using a 3D radial MRI sequence with a scan length of 20 min. Breathing motion and cyclic GI motion were first removed through multi-temporal resolution image reconstruction. Slow drifting motion analysis was performed using an image time series consisting of 72 image volumes with a temporal sampling rate of 17 s. B-spline deformable registration was performed to align image volumes of the time series to a reference volume. The resulting deformation fields were used for motion velocity evaluation and patient-specific motion model construction through principal component analysis (PCA). Geometric uncertainties introduced by slow drifting motion were assessed by Hausdorff distances between unions of organs at risk (OARs) at different motion states and reference OAR contours as well as probabilistic distributions of OARs predicted using the PCA model. Thirteen examinations from 11 patients were included in this study. The averaged motion velocities ranged from 0.8 to 1.9 mm min^-1, 0.7 to 1.6 mm min^-1, 0.6 to 2.0 mm min^-1and 0.7 to 1.4 mm min^-1for the small bowel, colon, duodenum and stomach respectively; the averaged Hausdorff distances were 5.6 mm, 5.3 mm, 5.1 mm and 4.6 mm. On average, a margin larger than 4.5 mm was needed to cover a space with OAR occupancy probability higher than 55%. Temporal variations of geometric uncertainties were evaluated by comparing across four 5 min sub-scans extracted from the full scan. Standard deviations of Hausdorff distances across sub-scans were less than 1 mm for most examinations, indicating stability of relative margin estimates from separate time windows. These results suggested slow drifting motion of GI organs is significant and geometric uncertainties introduced by such motion should be accounted for during radiotherapy planning and delivery.

Keywords: Intra-fractional motion; MRI-guided radiotherapy; Motion modeling; Radial MRI.

Publication types

Research Support, N.I.H., Extramural

MeSH terms

Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging*
Motion
Organs at Risk
Respiration*

Grants and funding

R01 EB016079/EB/NIBIB NIH HHS/United States