Evaluation of patient-specific MR distortion correction schemes for improved target localization accuracy in SRS.
MRI
SRS
distortion correction
quality assurance
spatial distortion
Journal
Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746
Informations de publication
Date de publication:
Apr 2021
Apr 2021
Historique:
revised:
16
10
2020
received:
26
07
2020
accepted:
16
11
2020
pubmed:
25
11
2020
medline:
15
5
2021
entrez:
24
11
2020
Statut:
ppublish
Résumé
This work aims at promoting target localization accuracy in cranial stereotactic radiosurgery (SRS) applications by focusing on the correction of sequence-dependent (also patient induced) magnetic resonance (MR) distortions at the lesion locations. A phantom-based quality assurance (QA) methodology was developed and implemented for the evaluation of three distortion correction techniques. The same approach was also adapted to cranial MR images used for SRS treatment planning purposes in single or multiple brain metastases cases. A three-dimensional (3D)-printed head phantom was filled with a 3D polymer gel dosimeter. Following treatment planning and dose delivery, volumes of radiation-induced polymerization served as hypothetical lesions, offering adequate MR contrast with respect to the surrounding unirradiated areas. T1-weighted (T1w) MR imaging was performed at 1.5 T using the clinical scanning protocol for SRS. Additional images were acquired to implement three distortion correction methods; the field mapping (FM), mean image (MI) and signal integration (SI) techniques. Reference lesion locations were calculated as the averaged centroid positions of each target identified in the forward and reverse read gradient polarity MRI scans. The same techniques and workflows were implemented for the correction of contrast-enhanced T1w MR images of 10 patients with a total of 27 brain metastases. All methods employed in the phantom study diminished spatial distortion. Median and maximum distortion magnitude decreased from 0.7 mm (2.10 ppm) and 0.8 mm (2.36 ppm), respectively, to <0.2 mm (0.61 ppm) at all target locations, using any of the three techniques. Image quality of the corrected images was acceptable, while contrast-to-noise ratio slightly increased. Results of the patient study were in accordance with the findings of the phantom study. Residual distortion in corrected patient images was found to be <0.3 mm in the vast majority of targets. Overall, the MI approach appears to be the most efficient correction method from the three investigated. In cranial SRS applications, patient-specific distortion correction at the target location(s) is feasible and effective, despite the expense of longer imaging time since additional MRI scan(s) need to be performed. A phantom-based QA methodology was developed and presented to reassure efficient implementation of correction techniques for sequence-dependent spatial distortion.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1661-1672Subventions
Organisme : State Scholarships Foundation (IKY)
ID : MIS-5000432
Informations de copyright
© 2020 American Association of Physicists in Medicine.
Références
Schmidt MA, Payne GS. Radiotherapy planning using MRI. Phys Med Biol. 2015;60:R323-R361.
Owrangi AM, Greer PB, Glide-Hurst CK. MRI-only treatment planning: benefits and challenges. Phys Med Biol. 2018;63:05TR01.
Weygand J, Fuller CD, Ibbott GS, et al. Spatial precision in magnetic resonance imaging-guided radiation therapy: the role of geometric distortion. Int J Radiat Oncol Biol Phys. 2016;95:1304-1316.
Ma L, Sahgal A, Larson DA, et al. Impact of millimeter-level margins on peripheral normal brain sparing for gamma knife radiosurgery. Int J Radiat Oncol Biol Phys. 2014;89:206-213.
Nataf F, Schlienger M, Liu Z, et al. Radiosurgery with or without a 2-mm margin for 93 single brain metastases. Int J Radiat Oncol Biol Phys. 2008;70:766-772.
Kirkpatrick JP, Wang Z, Sampson JH, et al. Defining the optimal planning target volume in image-guided stereotactic radiosurgery of brain metastases: results of a randomized trial. Int J Radiat Oncol Biol Phys. 2015;91:100-108. https://doi.org/10.1016/j.ijrobp.2014.09.004.
Seibert TM, White NS, Kim G-Y, et al. Distortion inherent to magnetic resonance imaging can lead to geometric miss in radiosurgery planning. Pract Radiat Oncol. 2016;6:e319-e328.
Karaiskos P, Moutsatsos A, Pappas E, et al. A simple and efficient methodology to improve geometric accuracy in gamma knife radiation surgery: implementation in multiple brain metastases. Int J Radiat Oncol Biol Phys. 2014;90:1234-1241.
Pappas EP, Alshanqity M, Moutsatsos A, et al. MRI-related geometric distortions in stereotactic radiotherapy treatment planning: evaluation and dosimetric impact. Technol Cancer Res Treat. 2017;16:1120-1129.
Stanescu T, Wachowicz K, Jaffray DA. Characterization of tissue magnetic susceptibility-induced distortions for MRIgRT. Med Phys. 2012;39:7185-7193.
Pappas EP, Seimenis I, Dellios D, Kollias G, Lampropoulos KI, Karaiskos P. Assessment of sequence dependent geometric distortion in contrast-enhanced MR images employed in stereotactic radiosurgery treatment planning. Phys Med Biol. 2018;63:135006.
Pappas EP, Seimenis I, Moutsatsos A, Georgiou E, Nomikos P, Karaiskos P. Characterization of system-related geometric distortions in MR images employed in Gamma Knife radiosurgery applications. Phys Med Biol. 2016;61:6993-7011.
Baldwin LLN, Wachowicz K, Fallone BG. A two-step scheme for distortion rectification of magnetic resonance images. Med Phys. 2009;36:3917.
Moutsatsos A, Karaiskos P, Petrokokkinos L, et al. Assessment and characterization of the total geometric uncertainty in Gamma Knife radiosurgery using polymer gels. Med Phys. 2013;40:031704.
Chang H, Fitzpatrick JM. A technique for accurate magnetic resonance imaging in the presence of field inhomogeneities. IEEE Trans Med Imaging. 1992;11:319-329.
Baldwin LLN, Wachowicz K, Thomas SDS, Rivest R, Fallone BG. Characterization, prediction, and correction of geometric distortion in 3 T MR images. Med Phys. 2007;34:388.
Damyanovich AZ, Rieker M, Zhang B, Bissonnette J-P, Jaffray DA. Design and implementation of a 3D-MR/CT geometric image distortion phantom/analysis system for stereotactic radiosurgery. Phys Med Biol. 2018;63:075010.
Caramanos Z, Fonov VS, Francis SJ, et al. Gradient distortions in MRI: characterizing and correcting for their effects on SIENA-generated measures of brain volume change. NeuroImage. 2010;49:1601-1611.
Tadic T, Jaffray DA, Stanescu T. Harmonic analysis for the characterization and correction of geometric distortion in MRI. Med Phys. 2014;41:112303.
Jezzard P, Balaban RS. Correction for geometric distortion in echo planar images from B0 field variations. Magn Reson Med. 1995;34:65-73.
Huang KC, Cao Y, Baharom U, Balter JM. Phantom-based characterization of distortion on a magnetic resonance imaging simulator for radiation oncology. Phys Med Biol. 2016;61:774-790.
Wang H, Balter J, Cao Y. Patient-induced susceptibility effect on geometric distortion of clinical brain MRI for radiation treatment planning on a 3T scanner. Phys Med Biol. 2013;58:465-477.
Crijns SPM, Raaymakers BW, Lagendijk JJW. Real-time correction of magnetic field inhomogeneity-induced image distortions for MRI-guided conventional and proton radiotherapy. Phys Med Biol. 2011;56:289-297.
Morgan PS, Bowtell RW, McIntyre DJO, Worthington BS. Correction of spatial distortion in EPI due to inhomogeneous static magnetic fields using the reversed gradient method. J Magn Reson Imaging. 2004;19:499-507.
Reinsberg SA, Doran SJ, Charles-Edwards EM, Leach MO. A complete distortion correction for MR images: II. Rectification of static-field inhomogeneities by similarity-based profile mapping. Phys Med Biol. 2005;50:2651-2661.
Bagherimofidi SM, Yang CC, Rey-Dios R, Kanakamedala MR, Fatemi A. Evaluating the accuracy of geometrical distortion correction of magnetic resonance images for use in intracranial brain tumor radiotherapy. Reports Pract Oncol Radiother. 2019;24:606-613.
Crijns SPM, Kok JGM, Lagendijk JJW, Raaymakers BW. Towards MRI-guided linear accelerator control: gating on an MRI accelerator. Phys Med Biol. 2011;56:4815-4825.
Makris DN, Pappas EP, Zoros E, et al. Characterization of a novel 3D printed patient specific phantom for quality assurance in cranial stereotactic radiosurgery applications. Phys Med Biol. 2019;64:105009.
Papoutsaki M-V, Maris TG, Pappas E, Papadakis AE, Damilakis J. Dosimetric characteristics of a new polymer gel and their dependence on post-preparation and post-irradiation time: effect on X-ray beam profile measurements. Phys Medica. 2013;29:453-460.
Cusack R, Brett M, Osswald K. An evaluation of the use of magnetic field maps to undistort echo-planar images. NeuroImage. 2003;18:127-142.
Jackson EF, Bronskill MJ, Drost DJ, Och J, Sobol WT, Clarke GD. AAPM Report No. 100 Acceptance Testing and Quality Assurance Procedures for Magnetic Resonance Imaging Facilities Report of MR Subcommittee Task Group I.; 2010. http://www.aapm.org/pubs/reports/RPT_100.pdf. Accessed December 11, 2017.
Cusack R, Papadakis N. New robust 3-D phase unwrapping algorithms: application to magnetic field mapping and undistorting echoplanar images. Neuroimage. 2002;16:754-764.
Holland D, Kuperman JM, Dale AM. Efficient correction of inhomogeneous static magnetic field-induced distortion in echo planar imaging. NeuroImage. 2010;50:175-183.
Pappas EP, Dellios D, Seimenis I, Moutsatsos A, Georgiou E, Karaiskos P. Review and comparison of geometric distortion correction schemes in MR images used in stereotactic radiosurgery applications. J Phys Conf Ser. 2017;931:012031.
Stanescu T, Jans HS, Wachowicz K, Fallone BG. Investigation of a 3D system distortion correction method for MR images. J Appl Clin Med Phys. 2010;11:200-216.
Wang D, Doddrell D, Cowin G. A novel phantom and method for comprehensive 3-dimensional measurement and correction of geometric distortion in magnetic resonance imaging. Magn Reson Imaging. 2004;22:529-542.
Adjeiwaah M, Bylund M, Lundman JA, Thellenberg Karlsson C, Jonsson JH, Nyholm T. Quantifying the effect of 3T MRI residual system and patient-induced susceptibility distortions on radiotherapy treatment planning for prostate cancer. Int J Radiat Oncol. 2017;100:317-324.
Ulin K, Urie MM, Cherlow JM. Results of a multi-institutional benchmark test for cranial CT/MR image registration. Int J Radiat Oncol Biol Phys. 2010;77:1584-1589.
Prentou G, Pappas EP, Logothetis A, et al. Dosimetric impact of rotational errors on the quality of VMAT - SRS for multiple brain metastases: comparison between single - and two - isocenter treatment planning techniques. J Appl Clin Med Phys. 2020;21:32-44.
Poder J, Brown R, Porter H, Gupta R, Ralston A. Development of a dedicated phantom for multi-target single-isocentre stereotactic radiosurgery end to end testing. J Appl Clin Med Phys. 2018;19:99-108.
Brezovich IA, Popple RA, Duan J, et al. A novel phantom and procedure providing submillimeter accuracy in daily QA tests of accelerators used for stereotactic radiosurgery. J Appl Clin Med Phys. 2016;17:246-253.