A novel multi-energy computed tomography (MECT) simulation framework to determine the densities of human tissues and material compositions of implant material maps for proton Monte Carlo does calculation.
Provides a multi-image computer tomography based alternative methodology of providing complete maps of material composition and mass densities that are required for patients with implants in MC-based proton treatment.
In this invention, multi-energy computed tomography (MECT) simulation framework is utilized to enhance the characterization of human tissue diagnosis and provide input for proton treatment planning systems using analytical dose calculation. This framework will contribute to the global market for computerized tomography, which was valued at $4.861 billion in 2017 and is expected to reach $6.626 billion by 2023 at a CAGR of 5.4% from 2018-2023 (BCC Research HLC233A). Furthermore, this framework will also contribute to the global market for radiotherapy, which is expected to reach $10.976 billion by 2026 at a CAGR of 6.6% from 2021-2026 (BCC Research HLC176D).
MECT is a novel simulation framework for determining the densities of human tissues as well as material composition of implant material maps during proton therapy utilizing the Monte Carlo calculation method. Using a simulated phantom study researchers found the MECT framework predicted the mass densities and proton counting to a superior degree than single energy commutated tomography simulator; demonstrating that the framework can provide complete maps of material composition and mass densities necessary for surgical implants patients in Monte Carlo-based proton therapy.
Simulation framework designed and validated by using a phantom study.
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