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A Novel Theoretical Framework for MRI-Only Image Guided LDR Prostate and Breast Brachytherapy Implant Dosimetry

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A Soliman

A Soliman1*, A Elzibak1 , A Fatemi1 , H Safigholi1 , D Han1,2 , A Ravi1 , G Morton1 , W Song1 , (1) Sunnybrook Research Institute, Sunnybrook Health Sciences Centre,Toronto, Ontario, (2) University of California, San Diego, La Jolla, California


TU-AB-201-11 (Tuesday, July 14, 2015) 7:30 AM - 9:30 AM Room: 201

Purpose: To propose a novel framework for accurate model-based dose calculations using only MR images for LDR prostate and breast seed implant brachytherapy.

Methods: Model-based dose calculation methodologies recommended by TG-186 require further knowledge about specific tissue composition, which is challenging with MRI. However, relying on MRI-only for implant dosimetry would reduce the soft tissue delineation uncertainty, costs, and uncertainties associated with multi-modality registration and fusion processes. We propose a novel framework to address this problem using quantitative MRI acquisitions and reconstruction techniques. The framework includes three steps:
(1) Identify the locations of seeds
(2) Identify the presence (or absence) of calcification(s)
(3) Quantify the water and fat content in the underlying tissue
Steps (1) and (2) consider the sources that limit patient dosimetry, particularly the inter-seed attenuation and the calcified regions; while step (3) targets the quantification of the tissue composition to consider the heterogeneities in the medium. Our preliminary work has shown that the seeds and the calcifications can be identified with MRI using both the magnitude and the phase images. By employing susceptibility-weighted imaging with specific post-processing techniques, the phase images can be further explored to distinguish the seeds from the calcifications.
Absolute quantification of tissue, water, and fat content is feasible and was previously demonstrated in phantoms and in-vivo applications, particularly for brain diseases. The approach relies on the proportionality of the MR signal to the number of protons in an image volume. By employing appropriate correction algorithms for T1- and T2*-related biases, B1 transmit and receive field inhomogeneities, absolute water/fat content can be determined.

Results: By considering calcification and interseed attenuation, and through the knowledge of water and fat mass density, accurate patient-specific implant dosimetry can be achieved with MRI-only.

Conclusion: The proposed framework showed that model-based dose calculation is feasible using MRI-only state-of-the-art techniques.

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