Joint surface reconstruction and 4D deformation estimation from sparse data and prior knowledge for marker‐less Respiratory motion tracking

Berkels, Benjamin; Bauer, Sebastian; Ettl, Svenja; Arold, Oliver; Hornegger, Joachim; Rumpf, Martin

doi:10.1118/1.4816675

Cited by 4 publications

(2 citation statements)

References 41 publications

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“…To apply a correlation-based prediction model, a patient should demonstrate a high external–internal motion correlation at the simulation using fiducial markers that are implanted close to the tumor. 24 Marker-less approaches that simplify the clinical procedure and avoid any implant complications have also been studied, 8 , 25 , 26 and some of these strategies have been implemented in radiotherapy clinics. 27 Even if the motion correlation is high, the correlation model must be periodically verified and updated with radiographic imaging to accommodate changes in the patient's breathing behavior, which often necessitates rebuilding the predictive model and prolonging treatment.…”

Section: Introductionmentioning

confidence: 99%

Stability and Reliability of Enhanced External-Internal Motion Correlation via Dynamic Phase-Shift Corrections Over 30-min Timeframe for Respiratory-Gated Radiotherapy

Milewski

2022

Technol Cancer Res Treat

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To assess the stability of patient-specific phase shifts between external- and internal-respiratory motion waveforms, the reliability of enhanced external–internal correlation with phase-shift correction, and the feasibility of guiding respiratory-gated radiotherapy (RGRT) over 30 min. In this clinical feasibility investigation, external bellows and internal-navigator waveforms were simultaneously and prospectively acquired along with two four-dimensional magnetic resonance imaging (4DMRI) scans (6–15 m each) with 15–20 m intervals in 10 volunteers. A bellows was placed 5 cm inferior to the xiphoid to monitor abdominal motion, and an MR navigator was used to track the diaphragmatic motion. The mean phase-domain (MPD) method was applied, which combines three individual phase-calculating methods: phase-space oval fitting, principal component analysis, and analytic signal analysis, weighted by the reciprocal of their residual errors (RE) excluding outliers (RE >2σ). The time-domain cross-correlation (TCC) analysis was applied for comparison. Dynamic phase-shift correction was performed based on the phase shift detected on the fly within two 10 s moving datasets. Simulating bellows-triggered gating, the median and 95% confidence interval for the navigator's position at beam-on/beam-off and %harm (percentage of beam-on time outside the safety margin) were calculated. Averaged across all subjects, the mean phase shifts are found indistinguishable ( p > .05) between scan 1 (55˚ ± 9˚) and scan 2 (59˚ ± 11˚). Using the MPD method the averaged correlation increases from 0.56 ± 0.22 to 0.85 ± 0.11 for scan 1 and from 0.47 ± 0.30 to 0.84 ± 0.08 for scan 2. The TCC correction results in similar results. After phase-shift correction, the number of cases that were suitable for amplitude gating (with <10%harm) increased from 2 to 17 out of 20 cases. A patient-specific, stable phase-shift between the external and internal motions was observed and corrected using the MPD and TCC methods, producing long-lasting enhanced motion correlation over 30m. Phase-shift correction offers a feasible strategy for improving the accuracy of tumor-motion prediction during RGRT.

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Section: Introductionmentioning

confidence: 99%

Stability and Reliability of Enhanced External-Internal Motion Correlation via Dynamic Phase-Shift Corrections Over 30-min Timeframe for Respiratory-Gated Radiotherapy

Milewski

2022

Technol Cancer Res Treat

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“…A method for the matching of photos of human faces with 3D surface models extracted from MRI data using rigid deformations has been suggested in [8]. Recently, a registration method for sparse but highly accurate 3-D line measurements with a surface extracted from volumetric planning data based on the consistent registration idea and higher order regularization was introduced in [2,4].…”

Section: Introductionmentioning

confidence: 99%

Co-registration of intra-operative brain surface photographs and pre-operative MR images

et al. 2014

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Purpose: Brain shift, the change in configuration of the brain after opening the dura mater, is a significant problem for neuronavigation. Brain structures at intra-operative deformed positions must be matched with corresponding structures in the pre-operative 3D planning data. A method to co-register the cortical surface from intra-operative microscope images with pre-operative MRI segmented data was developed and tested. Methods: Automated classification of sulci on MRI extracted cortical surfaces was tested by comparison with user guided marking of prominent sulci on an intraoperative photography. A variational registration method with a fidelity energy for 3D deformations of the cortical surface in conjunction with a higher order, linear elastic prior energy was used for the actual registration. The minimization of this energy was performed with a regularized gradient descent scheme using finite elements for spatial discretization. The sulcal classification method was tested on eight different clinical MRI data sets by comparison of the deformed MRI scans with intra-operative photographs of the brain surface. Results: User intervention was required for marking sulci on the photos demonstrating the potential for incorporating an automatic classifier. The actual registration was validated first on an artificial testbed. The complete algorithm for the coregistration of actual clinical MRI data was successful for eight different patients. Conclusions: Pre-operative MRI scans can be registered to intra-operative brain surface photographs using a surface-to-surface registration method. This co-registration method has potential applications in neurosurgery, particularly during functional procedures.

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Introductory review on ‘Flying Triangulation’: a motion-robust optical 3D measurement principle

Ettl¹

2014

Contemporary Physics

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Joint surface reconstruction and 4D deformation estimation from sparse data and prior knowledge for marker‐less Respiratory motion tracking

Abstract: In external beam radiation therapy, the approach holds potential for patient monitoring during treatment using the reconstructed surface, and for motion-compensated dose delivery using the estimated 4D surface motion field in combination with external-internal correlation models.

Cited by 4 publications

References 41 publications

Stability and Reliability of Enhanced External-Internal Motion Correlation via Dynamic Phase-Shift Corrections Over 30-min Timeframe for Respiratory-Gated Radiotherapy

Stability and Reliability of Enhanced External-Internal Motion Correlation via Dynamic Phase-Shift Corrections Over 30-min Timeframe for Respiratory-Gated Radiotherapy

Co-registration of intra-operative brain surface photographs and pre-operative MR images

Introductory review on ‘Flying Triangulation’: a motion-robust optical 3D measurement principle

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