Validation of a deformable MRI to CT registration algorithm employing same day planning MRI for surrogate analysis

Journal of Applied Clinical Medical Physics
Kyle R PadgettAlan Pollack

Abstract

Validating deformable multimodality image registrations is challenging due to intrinsic differences in signal characteristics and their spatial intensity distributions. Evaluating multimodality registrations using these spatial intensity distributions is also complicated by the fact that these metrics are often employed in the registration optimization process. This work evaluates rigid and deformable image registrations of the prostate in between diagnostic-MRI and radiation treatment planning-CT by utilizing a planning-MRI after fiducial marker placement as a surrogate. The surrogate allows for the direct quantitative analysis that can be difficult in the multimodality domain. For thirteen prostate patients, T2 images were acquired at two different time points, the first several weeks prior to planning (diagnostic-MRI) and the second on the same day as the planning-CT (planning-MRI). The diagnostic-MRI was deformed to the planning-CT utilizing a commercially available algorithm which synthesizes a deformable image registration (DIR) algorithm from local rigid registrations. The planning-MRI provided an independent surrogate for the planning-CT for assessing registration accuracy using image similarity metrics, including Pears...Continue Reading

References

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Nov 17, 2009·International Journal of Radiation Oncology, Biology, Physics·Kristy K Brock, UNKNOWN Deformable Registration Accuracy Consortium
May 25, 2010·International Journal of Radiation Oncology, Biology, Physics·Deborah A KubanAlan Pollack
Jan 16, 2013·Journal of Applied Clinical Medical Physics·Raj VaradhanSusanta Hui
Mar 25, 2015·Physics in Medicine and Biology·Jidi SunPeter B Greer

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Citations

Sep 8, 2019·Journal of Infection and Public Health·Guoping Lu, Lixin Zhou

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Clinical Trials Mentioned

NCT01411332
NCT01411319

Software Mentioned

MIM
DIR
MIM Software

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