Samuel L. Brady, PhD

Clinical Medical Physicist, Department of Radiology and Medical Imaging

samuel.brady@cchmc.org

About

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.

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

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

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

Services and Specialties

Radiology

Research Areas

Radiology

Publications

Reduced count pediatric whole-body 18F-FDG PET imaging reconstruction with a Bayesian penalized likelihood algorithm. Alves, VD P V; Ata, NA; MacLean, J; Sharp, SE; Li, Y; Brady, S; Trout, AT. Pediatric Radiology: roentgenology, nuclear medicine, ultrasonics, CT, MRI. 2024; 54:170-180.

Implementation of AI image reconstruction in CT-how is it validated and what dose reductions can be achieved. Brady, SL. British Journal of Radiology. 2023; 96:20220915.

Computed tomography-based measurements of normative liver and spleen volumes in children. de Padua V. Alves, V; Dillman, JR; Somasundaram, E; Taylor, ZP; Brady, SL; Zhang, B; Trout, AT. Pediatric Radiology: roentgenology, nuclear medicine, ultrasonics, CT, MRI. 2023; 53:378-386.

Simulated Reduced-Count Whole-Body FDG PET: Evaluation in Children and Young Adults Imaged on a Digital PET Scanner. Alves, VP V; Brady, S; Ata, NA; Li, Y; MacLean, J; Zhang, B; Sharp, SE; Trout, AT. American Journal of Roentgenology. 2022; 219:952-961.

Current and emerging artificial intelligence applications for pediatric abdominal imaging. Dillman, JR; Somasundaram, E; Brady, SL; He, L. Pediatric Radiology: roentgenology, nuclear medicine, ultrasonics, CT, MRI. 2022; 52:2139-2148.

Application of reference air kerma alert levels for pediatric fluoroscopic examinations. Somasundaram, E; Brady, SL; Strauss, KJ. Journal of applied clinical medical physics / American College of Medical Physics. 2022; 23:e13721.

Defining Normal Ranges of Skeletal Muscle Area and Skeletal Muscle Index in Children on CT Using an Automated Deep Learning Pipeline: Implications for Sarcopenia Diagnosis. Somasundaram, E; Castiglione, JA; Brady, SL; Trout, AT. American Journal of Roentgenology. 2022; 219:326-336.

Reducing Pediatric Intraoral Radiography Radiation Dose Using Reduced-Power Dental X-Ray Units: A Randomized Trial. Cully, JL; Somasundaram, E; Campbell, R; Brady, SL; Gosnell, ES; Specht, S; Candon, LA; Strauss, KJ. Journal of Dentistry for Children. 2022; 89:95-103.

Detection of urinary tract calculi on CT images reconstructed with deep learning algorithms. Thapaliya, S; Brady, SL; Somasundaram, E; Anton, CG; Coley, BD; Towbin, AJ; Zhang, B; Dillman, JR; Trout, AT. Abdominal Radiology. 2022; 47:265-271.

Comparison of 0.3-mSv CT to Standard-Dose CT for Detection of Lung Nodules in Children and Young Adults With Cancer. Thapaliya, S; Gilligan, LA; Brady, SL; Anton, CG; Crotty, EJ; Nasser, MP; Geller, JI; Pressey, JG; Zhang, B; Dillman, JR; et al. American Journal of Roentgenology. 2021; 217:1444-1451.