Hearing Loss and Tinnitus in Military Personnel with Deployment-Related Mild Traumatic Brain Injury.

The objective of this study was to analyze differences in incidence and epidemiologic risk factors for significant threshold shift (STS) and tinnitus in deployed military personnel diagnosed with mild traumatic brain injury (mTBI) due to either a blast exposure or nonblast head injury. A retrospective longitudinal cohort study of electronic health records of 500 military personnel (456 met inclusion criteria) diagnosed with deployment-related mTBI was completed. Chi-square tests and STS incidence rates were calculated to assess differences between blast-exposed and nonblast groups; relative risks and adjusted odds ratios of developing STS or tinnitus were calculated for risk factors.

Benchmarking of five commercial deformable image registration algorithms for head and neck patients.

Benchmarking is a process in which standardized tests are used to assess system performance. The data produced in the process are important for comparative purposes, particularly when considering the implementation and quality assurance of DIR algorithms. In this work, five commercial DIR algorithms (MIM, Velocity, RayStation, Pinnacle, and Eclipse) were benchmarked using a set of 10 virtual phantoms.

Near Real-Time Assessment of Anatomic and Dosimetric Variations for Head and Neck Radiation Therapy via Graphics Processing Unit-based Dose Deformation Framework.

Purpose: The purpose of this study was to systematically monitor anatomic variations and their dosimetric consequences during intensity modulated radiation therapy (IMRT) for head and neck (H&N) cancer by using a graphics processing unit (GPU)-based deformable image registration (DIR) framework.

Methods And Materials: Eleven IMRT H&N patients undergoing IMRT with daily megavoltage computed tomography (CT) and weekly kilovoltage CT (kVCT) scans were included in this analysis. Pretreatment kVCTs were automatically registered with their corresponding planning CTs through a GPU-based DIR framework.

A GPU based high-resolution multilevel biomechanical head and neck model for validating deformable image registration.

Purpose: Validating the usage of deformable image registration (dir) for daily patient positioning is critical for adaptive radiotherapy (RT) applications pertaining to head and neck (HN) radiotherapy. The authors present a methodology for generating biomechanically realistic ground-truth data for validating dir algorithms for HN anatomy by (a) developing a high-resolution deformable biomechanical HN model from a planning CT, (b) simulating deformations for a range of interfraction posture changes and physiological regression, and (c) generating subsequent CT images representing the deformed anatomy.

Methods: The biomechanical model was developed using HN kVCT datasets and the corresponding structure contours.

A virtual phantom library for the quantification of deformable image registration uncertainties in patients with cancers of the head and neck.

Purpose: Deformable image registration (DIR) is being used increasingly in various clinical applications. However, the underlying uncertainties of DIR are not well-understood and a comprehensive methodology has not been developed for assessing a range of interfraction anatomic changes during head and neck cancer radiotherapy. This study describes the development of a library of clinically relevant virtual phantoms for the purpose of aiding clinicians in the QA of DIR software.