User profiles for Eric C. Frey
Eric C FreyJohns Hopkins University Verified email at jhmi.edu Cited by 12382 |
Transmorph: Transformer for unsupervised medical image registration
In the last decade, convolutional neural networks (ConvNets) have been a major focus of
research in medical image analysis. However, the performances of ConvNets may be limited …
research in medical image analysis. However, the performances of ConvNets may be limited …
Development of a 4-D digital mouse phantom for molecular imaging research
PURPOSE: We develop a realistic and flexible 4-D digital mouse phantom and investigate
its usefulness in molecular imaging research. METHODS: Organ shapes were modeled with …
its usefulness in molecular imaging research. METHODS: Organ shapes were modeled with …
Realistic CT simulation using the 4D XCAT phantom
The authors develop a unique CT simulation tool based on the 4D extended cardiac‐torso (XCAT)
phantom, a whole‐body computer model of the human anatomy and physiology …
phantom, a whole‐body computer model of the human anatomy and physiology …
MIRD pamphlet no. 23: quantitative SPECT for patient-specific 3-dimensional dosimetry in internal radionuclide therapy
In internal radionuclide therapy, a growing interest in voxel-level estimates of tissue-absorbed
dose has been driven by the desire to report radiobiologic quantities that account for the …
dose has been driven by the desire to report radiobiologic quantities that account for the …
An analytical model of the effects of pulse pileup on the energy spectrum recorded by energy resolved photon counting x‐ray detectors
Purpose: Recently, novel CdTe photon counting x‐ray detectors (PCXDs) with energy
discrimination capabilities have been developed. When such detectors are operated under a high …
discrimination capabilities have been developed. When such detectors are operated under a high …
A new method for modeling the spatially-variant, object-dependent scatter response function in SPECT
Scatter compensation using iterative reconstruction results in improved image quality and
quantitative accuracy compared to subtraction-based methods, However, this requires …
quantitative accuracy compared to subtraction-based methods, However, this requires …
Material separation in x‐ray CT with energy resolved photon‐counting detectors
Purpose: The objective of the study was to demonstrate that, in x‐ray computed tomography
(CT), more than two types of materials can be effectively separated with the use of an energy …
(CT), more than two types of materials can be effectively separated with the use of an energy …
Vit-v-net: Vision transformer for unsupervised volumetric medical image registration
… Junyu Chen, Ye Li, Yong Du, and Eric C Frey. Generating anthropomorphic phantoms
using fully unsupervised deformable image registration with convolutional neural networks. …
using fully unsupervised deformable image registration with convolutional neural networks. …
Modeling the performance of a photon counting x‐ray detector for CT: Energy response and pulse pileup effects
Purpose: Recently, photon counting x‐ray detectors (PCXDs) with energy discrimination
capabilities have been developed for potential use in clinical computed tomography (CT) …
capabilities have been developed for potential use in clinical computed tomography (CT) …
MIRD pamphlet no. 24: guidelines for quantitative 131I SPECT in dosimetry applications
…, AJ Green, PB Zanzonico, EC Frey… - Journal of Nuclear …, 2013 - Soc Nuclear Med
The reliability of radiation dose estimates in internal radionuclide therapy is directly related
to the accuracy of activity estimates obtained at each imaging time point. The recently …
to the accuracy of activity estimates obtained at each imaging time point. The recently …