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Modus QA - White Paper - MRID3D

Modus QA - White Paper - MRID3D
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Modus QA - White Paper - MRID3D

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Executive Summary
The document explores the transition of Magnetic Resonance Imaging (MRI) from research to clinical applications, highlighting the necessity for quality assurance (QA) tools to ensure minimal image geometric distortion, crucial for applications requiring sub-millimeter precision. It recommends using a large field of view hollow boundary phantom and harmonic analysis for accurate 3D distortion vector field measurement.

Introduction
Magnetic Resonance Guided Radiation Therapy (MRgRT) is gaining traction due to its ability to provide high-contrast imaging without ionizing radiation, enabling real-time motion tracking and adaptive beam tracking, thus enhancing treatment efficacy and patient outcomes.

Technical Background
MRI signal formation involves three magnetic fields: the main magnetic field (B0), the pulsed magnetic field (B1), and gradient fields (BG). The document details their interaction with body atoms to produce images and the impact of gradient non-linearities on image distortion.

Gradient Non-Linearities (GNL)
GNLs result from MRI system design trade-offs, causing anatomical compression, dilation, and aliasing, especially away from the isocenter, independent of field strength and sequence.

Vendor Corrections
MRI vendors employ software corrections using harmonic analysis to address gradient coil non-linearities, ensuring distortion-corrected images for diagnostic and guided therapy applications.

Recommendations
The document suggests methods for measuring MRI geometric distortion, emphasizing the importance of spatial accuracy for MR SIM and MR-Linac applications.

Proposed Solution
The harmonic analysis method is proposed for measuring geometric distortion with sub-millimeter accuracy, utilizing spherical harmonic coefficients and specific phantom construction techniques.

Conclusion
Accurate geometric distortion measurement in MRI-guided therapies is crucial for effective treatment planning and delivery.

Gradient Coil Design and Correction Techniques
Gradient coil designers use harmonic analysis to optimize coil winding for a 3D linear gradient field. Spherical harmonic-based image correction is necessary due to design limitations.

Main Field B0 Homogeneity
Strong B0 magnetic fields are designed to be homogeneous, but variations can cause image distortion, minimized by optimizing magnet design.

Sources of Geometric Distortion in MRI
Distortions arise from gradient non-linearity, B0 inhomogeneity, and object susceptibility, influenced by field strength and sequence parameters.

Effect of Gradient Field Strength on Distortion
Increasing gradient strength or bandwidth can reduce distortion, with specific recommendations for MR-guided radiotherapy scanning.

Measuring Geometric Distortion
Methods involve scanning an object twice with opposing polarity, with guidelines provided by standards bodies.

Phantom Materials and Thermal Properties
Acrylic and plastics are used in phantoms, with pressure compensating expansion reservoirs recommended to mitigate thermal expansion errors.

Phantom Materials and Susceptibility Properties
Common phantom materials have good susceptibility matches, but modern shimming techniques improve B0 field homogeneity.

Specifications and Procedures
Patient-specific B0 maps correct unique patient-induced susceptibility distortion, with Phantom Finite Element Modeling used for susceptibility assignment.

Common MR Phantom Liquid Contrast Media Properties
Aqueous solutions with contrast agents have drawbacks; mineral oil is recommended for stability and signal uniformity.

Geometry and Software Recommendations
Standards recommend manufacturing tolerances for phantoms and automated software to reduce observer variance.

Proposed Solution: Harmonic Analysis Advantage
A novel geometric distortion phantom using harmonic analysis is proposed, improving workflow and achieving sub-millimeter accuracy.

Phantom Construction and Error Estimation
The MRID3D phantom is robust, reducing susceptibility distortion, with error estimation using reverse readout polarity methods.

Geometric Distortion in MRI Sequences
Distortion varies with sequence type, but modern techniques minimize differences.

Conclusion and Recommendations
Recommendations include compensating for thermal expansion, using matched materials, and employing automated software for alignment corrections, aligned with updated industry standards.

Introduction
The document reviews technical standards IEC 62464-1 2018 and -12 2016, focusing on the MRID3D phantom for geometric distortion correction using the Harmonic Analysis Method.

Specifications
The MRID3D v2.0.0 includes FEM-based Susceptibility Correction and outputs Spherical Harmonic Coefficients for correction verification.

Procedures
The MRID3D phantom ensures geometric accuracy in MRI systems, crucial for radiotherapy treatment planning.

Standards and Norms
References include US Patents 9,857,443 B2 and 10,082,550 B2 for distortion correction methods.

Recommendations
Use the MRID3D phantom for QA in MRI-guided treatments to correct gradient errors and patient-specific susceptibilities.

Key References
The document cites studies and technical notes foundational to understanding MRI geometric distortions.
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Catalog excerpts

Modus QA - White Paper - MRID3D-1

Measuring Geometric Distortion with Sub-Millimeter Accuracy in MRgRT QA: A Lighter, Faster, Single Acquisition, Large Field-Of-View Full 3D Approach with Simple Workflow Using the Harmonic Analysis Method WHITE PAPER Executive Summary The use of Magnetic Resonance Imaging (MRI) for guidance has expanded from research to clinical applications in the past decade. While MRI has many advantages related to image quality, image geometric distortion due to vendor design trade-offs and limitations dictated by cost and patient considerations require QA tools to ensure distortion is measured and acceptable limits are achieved to ensure accuracy of treatment. Advanced and demanding applications (Diffusion Weighted Imaging, Head and Neck Stereotactic Radiosurgery, MRI Guided Neurosurgery) require submillimeter accuracy. The factors which affect MRI Geometric Image Distortion are reviewed, as well as the tools that can be used to quantify distortion. A recommended method for measuring a full 3D distortion vector field using a lighter weight, large field of view hollow boundary phantom utilizing the harmonic analysis approach to achieve sub-millimeter accuracy (error < 0.1mm) is presented.

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Modus QA - White Paper - MRID3D-2

Legal & Copyright Notice Information in this white paper is subject to change without notice. No part of this white paper may be reproduced in any form without the written permission of Modus Medical Devices Inc (Modus QA). Copyright ©2021 Modus Medical Devices Inc. All rights reserved. QUASAR™ and the QUASAR™ logo are trademarks of Modus Medical Devices Inc. Modus QA reserves the right to make any changes without further notice to any products herein. Modus QA makes no representation, warranty or guarantee regarding the suitability of its products for any particular purpose, nor does Modus QA...

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Modus QA - White Paper - MRID3D-3

2020 Modus Medical Devices Inc. All rights reserved.

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Modus QA - White Paper - MRID3D-4

1. Introduction Over the last decade, Magnetic Resonance Guided Radiation Therapy (MRgRT) has received considerable and increasing interest in the Cancer Research and Clinical Treatment community for several compelling reasons: 1. The utility of Magnetic Resonance Imaging (MRI) for high contrast patient, tumor, and organ registration with no additional ionizing radiation from the imaging modality. 2. The ability to provide real time motion tracking of moving tumors with exquisite soft tissue contrast to see what is being treated, which eliminates the need for an Internal Target Volume (ITV) around...

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Modus QA - White Paper - MRID3D-5

A review of the factors which affect MRI spatial accuracy, and what can be done to manage and measure it, follows. 2. Technical Background 2.1. Formation of Magnetic Resonance Signal Unlike X-Ray, CT (kV or MV), Ultrasound, PET, SPECT and other related imaging modalities, MRI does not use projection, reflection, emission, or refraction mechanisms found in optical imaging methods, where acceptable spatial accuracy is normally assumed. MRI relies on a technique that exploits the interaction of three distinct non-ionizing static and time varying magnetic fields with atomic elements found within...

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Modus QA - White Paper - MRID3D-6

with 1H, which is present in both water (H2O) and adipose tissue (containing H-C chains), both of which are abundant in human subjects. The second magnetic field B1 (or BRF) is a pulsed (limited time duration) time-varying magnetic field that corresponds to the Larmor Resonance Frequency, and falls in the Radio Frequency (RF) spectrum (13 MHz to 300 MHz) for Field Strengths between 0.35 T to 7 T. The B1 field is associated with RF coils, RF coil arrays, and the integrated RF Body Coil normally found in clinical MRI scanners which produce a primarily near-field magnetic field (within one wavelength...

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Modus QA - White Paper - MRID3D-7

• MRI is based on assumption of linear encoding of position to frequency over FOV… with some design trade-offs • Linearity is high near gradient coil isocenter but falls off with increasing distance • Main effects: o Anatomical compression (S-I) o Anatomical dilation (A-P, R-L) o Aliasing • Field strength, sequence independent • Arises from vendors being forced to trade-off linearity for performance: shorter bore lengths (reduce claustrophobia) and larger bore diameter (to accommodate obesity) Figure 1. Gradient coil non-linearities are caused by design trade-offs to address economic concerns...

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Modus QA - White Paper - MRID3D-8

2.3. Vendor Corrections to Gradient Non-Linearities – Post-Processing All MRI vendors employ software correction of Gradient Coil Non-Linearity in 2D and 3D imaging, and apply the correction based on harmonic analysis of the uncorrected fields to produce a 2D and 3D distortion corrected image suitable for Diagnostic and Guided Treatment applications. Gradient coil designers use harmonic analysis methods, among other field target techniques, to design gradient coils. The gradient coil winding locations and patterns are optimized to satisfy boundary conditions which attempt to produce a 3D linear...

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Modus QA - White Paper - MRID3D-9

. Corrects distortion in all three planes: Required for radiation treatment planning Can run automatically during reconstruction Figure 2 Cont’d. Gradient Coil Non-Linearities without correction, and with 2D and 3D correction applied All MR vendors utilize spherical harmonics to correct for Gradient Non-Linearity and B0 inhomogeneity, with modern MR SIM systems and MR Linacs designed for 35 cm FOV treatment volumes. 2.4. Main Field B0 Homogeneity: Subject/Object Induced Distortion and Vendor Shimming All main field magnets for MRI generate strong B0 magnetic fields which are designed to be homogeneous...

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Modus QA - White Paper - MRID3D-10

Conventional Magnet Design Imaging Volume Alternate Magnet Design Imaging Volume Figure 4. Representative Homogeneous Imaging Volumes for Conventional and Alternative Magnet and Gradient Designs Inhomogeneous regions at the edge of all manufacturers specified imaging volumes can be significant and may exceed acceptable distortion for precision MR Guided RT (<< 2mm of image distortion is required). Modern actively shielded high-field MRI magnet: coils and high uniformity central B0 field Figure 5. Main Field B0 Homogeneity on a Modern MR SIM System 2020 Modus Medical Devices Inc. All rights reserved....

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