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This study explores the use of MRI for adaptive radiotherapy in cancer treatment, focusing on patient-specific quality assurance metrics and volumetric distortions in DW-EP images. Methods include MR spectroscopy analysis and prostate segmentation to assess treatment response. Results demonstrate the correlation between lipid signals and magnetic field uniformity. The study aims to refine distortion measurement metrics and validate volume threshold values for future research.
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Quality Assurance of MRI for Adaptive Radiotherapy: Preliminary Investigations Six Week Project – MEDBIO 3970Z April 04, 2012 Trevor Thang Department of Medical Biophysics, Western University Supervisor: Dr. Eugene Wong, Physics and Astronomy Rob Bartha, Charles McKenzie, Aaron Ward, Glenn Bauman
Quality Assurance of MRI for Adaptive Radiotherapy: Preliminary Investigations Acknowledgements • Dr. CesareRomagnoli • Dr. Blaine Chronik • Trevor Szekere • Eli Gibson • Funding supported in part by • OCAIRO, ORF • CIHR-STP
Quality Assurance of MRI for Adaptive Radiotherapy: Preliminary Investigations MOTIVATION • CANCER – Endogenous Disease • Radiotherapy – High Energy • X-Rays, Gamma Rays, etc. • Result: • Multiple irradiations over long periods of time • New Variables
Quality Assurance of MRI for Adaptive Radiotherapy: Preliminary Investigations MOTIVATION • Adaptive Radiotherapy • Most common: Adapt patient to Treatment Plan • Geometric Information from linear accelerator on-board CT imaging • Ultimate Goal: Adapt radiotherapy based on treatment response
Quality Assurance of MRI for Adaptive Radiotherapy: Preliminary Investigations MOTIVATION • To access the Tumor’s Response to Therapy: • Employ functional imaging • Compare baseline and mid-treatment images • Adapt treatment based on changes in the images • But …
Quality Assurance of MRI for Adaptive Radiotherapy: Preliminary Investigations Motivation Are the Changes in the Images: Biological? or Inconsistent Imaging?
Quality Assurance of MRI for Adaptive Radiotherapy: Preliminary Investigations BACKGROUND Objectives • Develop Patient-Specific Quality Assurance Metrics • For MR Spectroscopy Since MRS data is labour intensive to generate and analyze … Can Volumetric Distortions in DW-EP Images be used as surrogate for MRS quality assessments?
Quality Assurance of MRI for Adaptive Radiotherapy: Preliminary Investigations Methods MR SPECTROSCOPY • MRS analyzed using fitMANdeveloped by Bartha’s group • For 11 patients, • Load Patient Raw Data • Exponential Filter in frequency domain to reduce noise • Remove the Residual Water Signal • Lipid Signal Rephased
Quality Assurance of MRI for Adaptive Radiotherapy: Preliminary Investigations BACKGROUND Magnetic Resonance Spectroscopy • Different peaks correspond to protons in different chemical environment • Inhomogeneous Magnetic Fields produce Large FWHM
Quality Assurance of MRI for Adaptive Radiotherapy: Preliminary Investigations BACKGROUND Volumetric Distortion in DW-EPI • Spatial Information Encoded with the Use of Magnetic Gradients • Gx – Frequency Encoding, Gy – Phase Encoding, Gz – Slice Encoding 3 • T2w Images Unsusceptible • 180° Refocusing Pulse • Gold Standard • Inhomogeneous Field • ↓ • Improper Spatial Encoding • ↓ • Deformation 3 MR Pulse Sequences: What Every Radiologist Wants to Know but Is Afraid to Ask. Bitar
Quality Assurance of MRI for Adaptive Radiotherapy: Preliminary Investigations METHOD • Patient Data • From London’s CIHR funded multi-parametric MR of prostate cancer patients imaged prior to prostatectomy • Identified 11 patients with single voxel MRS data • Employed deformed volume in Diffusion weighted Echo Planar Imaging (DW-EPI) as a gauge of B0 uniformity • Correlate deformed Volume with FWHM MRS data.
Quality Assurance of MRI for Adaptive Radiotherapy: Preliminary Investigations METHODS PROSTATE SEGMENTATION on Pinnacle • AX T2w – FSE • Unsusceptible due to 180° Refocusing Pulse • DW-EPI • Susceptibledue to lack of 180° Refocusing Pulse Patient B Patient A
Quality Assurance of MRI for Adaptive Radiotherapy: Preliminary Investigations Methods Volumetric Percent Difference examples 2.5% 21% 6.8% 4.1%
Quality Assurance of MRI for Adaptive Radiotherapy: Preliminary Investigations RESULTS
Quality Assurance of MRI for Adaptive Radiotherapy: Preliminary Investigations Results Residual Water as a Surrogate for Main Magnetic Field Uniformity N = 11 FWHM (Hz) = 1.2 * %Diff +4.4 R² = 0.82
Quality Assurance of MRI for Adaptive Radiotherapy: Preliminary Investigations Results Lipid as a Surrogate for Main Magnetic Field Uniformity N = 11 R² = 0.63 FWHM (Hz) = 1.9 * %Diff +20
Quality Assurance of MRI for Adaptive Radiotherapy: Preliminary Investigations Results Lipid as a Surrogate for Main Magnetic Field Uniformity N = 10 R² = 0.87 FWHM (Hz) = 1.5 * %Diff +24
Quality Assurance of MRI for Adaptive Radiotherapy: Preliminary Investigations Results Volumetric Deformation Threshold • Acceptable FWHM Lipid MRS ≤ 35 Hz at 3T • Issues: • Volumetric contours have uncertainties. • Other Metrics to Measure Distortion • Surface Area-to-Volume Ratio • Volumetric Overlap
Quality Assurance of MRI for Adaptive Radiotherapy: Preliminary Investigations Next Steps • ROC Analysis with more patient data • Validate Volume Threshold Values • Determine Other Direct Methods detecting InhomogenousB0 • Phase Difference Method 4 • Bandwidth-Difference (∆BW)5 Downfall: These all come with the cost of increased patient scanning time. 4Magnetic Resonance Imaging Quality Control Manual (American College of Radiology), Weinreb, 1991 5 Routine Testing of Magnetic Field Homogeneity on clinical MRI Systems. Hua-Hsuan Chen, 2006
Quality Assurance of MRI for Adaptive Radiotherapy: Preliminary Investigations Summary • Employed deformation in DW-EPI as surrogates for B0 homogeneity, correlating this to the FWHM of MRS • Potential Indicator of Quality of MRS data: • DW-EPI Volumetric Percent Change ≤ 7% • If this threshold is exceeded, the data should not be used. • In the present 11 patient cohort, 4 were deemed unacceptable • Analyze the citrate and choline peaks for the remaining 7 patients. • Will Validate correlation with double the patient data.