Samuel L. Brady, PhD

My Biography & Research My Education My Publications

Clinical Medical Physicist, Department of Radiology and Medical Imaging

Associate Professor, UC Department of Radiology

My Biography & Research

Biography

As a medical physicist, Samuel Brady, PhD's, primary experience lies in developing and maintaining protocols for imaging efficacy and safety. His particular interest lies in dose-minimization for CT imaging techniques. This is a particularly important concept in pediatric radiology, where tissues are still developing and are thus especially susceptible to radiation damage.

Academic Affiliation

Associate Professor, UC Department of Radiology

Departments

Radiology, Radiology

My Education

BS: Physics, Utah Valley University, Orem, UT.

MS: Medical Physics, Duke University, Durham, NC.

PhD: Medical Physics, Duke University, Durham, NC.

My Publications

Machine Learning Prediction of Liver Stiffness Using Clinical and T2-Weighted MRI Radiomic Data. He, L; Li, H; Dudley, JA; Maloney, TC; Brady, SL; Somasundaram, E; Trout, AT; Dillman, JR. American Journal of Roentgenology. 2019; 213:592-601.

Radiation Dose for Pediatric CT: Comparison of Pediatric versus Adult Imaging Facilities. Strauss, KJ; Somasundaram, E; Sengupta, D; Marin, JR; Brady, SL. Radiology. 2019; 291:158-167.

Development and validation of an open source Monte Carlo dosimetry model for wide-beam CT scanners using Fluka. Somasundaram, E; Artz, NS; Brady, SL. Journal of applied clinical medical physics / American College of Medical Physics. 2019; 20:132-147.

Fully automated tissue classifier for contrast-enhanced CT scans of adult and pediatric patients. Somasundaram, E; Deaton, J; Kaufman, R; Brady, S. Physics in Medicine and Biology. 2018; 63:135009-135009.

Dose optimization: a review of CT imaging for PET attenuation correction. Brady, SL; Shulkin, BL. Clinical and Translational Imaging. 2017; 5:359-371.

Tissue segmentation of computed tomography images using a Random Forest algorithm: a feasibility study. Polan, DF; Brady, SL; Kaufman, RA. Physics in Medicine and Biology. 2016; 61:6553-6569.

Full Dose-Reduction Potential of Statistical Iterative Reconstruction for Head CT Protocols in a Predominantly Pediatric Population. Mirro, AE; Brady, SL; Kaufman, RA. American Journal of Neuroradiology. 2016; 37:1199-1205.

Reply to: Radiation dose reduction thanks to split-bolus multi-1 detector computer tomography (MDCT) in children with non-thoracic neuroblastoma. Federico, SM; Brady, SL; Pappo, A; Kaufman, R; Kaste, S. Pediatric Blood and Cancer. 2015; 62:1867-1867.

The Role of Chest Computed Tomography (CT) as a Surveillance Tool in Children With High-Risk Neuroblastoma. Federico, SM; Brady, SL; Pappo, A; Wu, J; Mao, S; McPherson, VJ; Young, A; Furman, WL; Kaufman, R; Kaste, S. Pediatric Blood and Cancer. 2015; 62:976-981.

A Comprehensive Risk Assessment Method for Pediatric Patients Undergoing Research Examinations Using Ionizing Radiation: How We Answered the Institutional Review Board. Brady, SL; Mohaupt, TH; Kaufman, RA. American Journal of Roentgenology. 2015; 204:W510-W518.