User profiles for Mehdi Khalighi
Mehdi KhalighiDirector of MR & PET/MR - Stanford University Verified email at stanford.edu Cited by 1968 |
Ultra–Low-Dose 18F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs
…, FB de Carvalho Macruz, J Xu, A Boumis, M Khalighi… - Radiology, 2019 - pubs.rsna.org
Purpose To reduce radiotracer requirements for amyloid PET/MRI without sacrificing diagnostic
quality by using deep learning methods. Materials and Methods Forty data sets from 39 …
quality by using deep learning methods. Materials and Methods Forty data sets from 39 …
Tau PET imaging with 18F-PI-2620 in aging and neurodegenerative diseases
Purpose In vivo measurement of the spatial distribution of neurofibrillary tangle pathology is
critical for early diagnosis and disease monitoring of Alzheimer’s disease (AD). Methods …
critical for early diagnosis and disease monitoring of Alzheimer’s disease (AD). Methods …
True ultra-low-dose amyloid PET/MRI enhanced with deep learning for clinical interpretation
…, A Boumis, G Kennedy, E Mormino, M Khalighi… - European journal of …, 2021 - Springer
Purpose While sampled or short-frame realizations have shown the potential power of deep
learning to reduce radiation dose for PET images, evidence in true injected ultra-low-dose …
learning to reduce radiation dose for PET images, evidence in true injected ultra-low-dose …
The effect of various β values on image quality and semiquantitative measurements in 68Ga-RM2 and 68Ga-PSMA-11 PET/MRI images reconstructed with a block …
Purpose To compare the block sequential regularized expectation maximization (BSREM)
algorithm with the ordered subsets expectation maximization (OSEM) algorithm and to …
algorithm with the ordered subsets expectation maximization (OSEM) algorithm and to …
A Clinical PET Imaging Tracer ([18F]DASA-23) to Monitor Pyruvate Kinase M2–Induced Glycolytic Reprogramming in Glioblastoma
Purpose: Pyruvate kinase M2 (PKM2) catalyzes the final step in glycolysis, a key process of
cancer metabolism. PKM2 is preferentially expressed by glioblastoma (GBM) cells with …
cancer metabolism. PKM2 is preferentially expressed by glioblastoma (GBM) cells with …
NEMA NU 2‐2012 performance studies for the SiPM‐based ToF‐PET component of the GE SIGNA PET/MR system
AM Grant, TW Deller, MM Khalighi… - Medical …, 2016 - Wiley Online Library
Purpose: The GE SIGNA PET/MR is a new whole body integrated time‐of‐flight (ToF)‐PET/MR
scanner from GE Healthcare. The system is capable of simultaneous PET and MR image …
scanner from GE Healthcare. The system is capable of simultaneous PET and MR image …
Design features and mutual compatibility studies of the time-of-flight PET capable GE SIGNA PET/MR system
CS Levin, SH Maramraju, MM Khalighi… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
A recent entry into the rapidly evolving field of integrated PET/MR scanners is presented in
this paper: a whole body hybrid PET/MR system (SIGNA PET/MR, GE Healthcare) capable of …
this paper: a whole body hybrid PET/MR system (SIGNA PET/MR, GE Healthcare) capable of …
Reductions in synaptic marker SV2A in early-course Schizophrenia
Excess synaptic pruning during neurodevelopment has emerged as one of the leading
hypotheses on the causal mechanism for schizophrenia. It proposes that excess synaptic …
hypotheses on the causal mechanism for schizophrenia. It proposes that excess synaptic …
Traffic pollutants measured inside vehicles waiting in line at a major US-Mexico Port of Entry
PJE Quintana, M Khalighi, JEC Quiñones… - Science of the total …, 2018 - Elsevier
At US-Mexico border Ports of Entry, vehicles idle for long times waiting to cross northbound
into the US. Long wait times at the border have mainly been studied as an economic issue, …
into the US. Long wait times at the border have mainly been studied as an economic issue, …
Small‐tip‐angle spokes pulse design using interleaved greedy and local optimization methods
Current spokes pulse design methods can be grouped into methods based either on sparse
approximation or on iterative local (gradient descent‐based) optimization of the transverse‐…
approximation or on iterative local (gradient descent‐based) optimization of the transverse‐…