113 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Massachusetts General HospitalUS15 papers
- Harvard UniversityUS14 papers
- Laboratoire Traitement et Communication de l’InformationFR3 papers
- Télécom ParisFR3 papers
- Yale UniversityUS3 papers
- Peking UniversityCN2 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS1 paper
- Beijing International Studies UniversityCN1 paper
- Brigham and Women's HospitalUS1 paper
- Cerevel Therapeutics (United States)US1 paper
- Chulalongkorn UniversityTH1 paper
- Cleveland ClinicUS1 paper
17 papers
PET mapping of receptor occupancy using joint direct parametric reconstruction
Thibault Marin, Vasily Belov, Yanis Chemli +8
Receptor occupancy (RO) studies using PET neuroimaging play a critical role in the development of drugs targeting the central nervous system (CNS). The conventional approach to est…
Free-breathing 3D cardiac extracellular volume (ECV) mapping using a linear tangent space alignment (LTSA) model
Wonil Lee, Paul Kyu Han, Thibault Marin +8
To develop a new method for free-breathing 3D extracellular volume (ECV) mapping of the whole heart at 3T. A free-breathing 3D cardiac ECV m…
Posterior Estimation Using Deep Learning: A Simulation Study of Compartmental Modeling in Dynamic PET
Xiaofeng Liu, Thibault Marin, Tiss Amal +3
Background: In medical imaging, images are usually treated as deterministic, while their uncertainties are largely underexplored. Purpose: This work aims at using deep learning to…
Feasibility study of clinical target volume definition for soft-tissue sarcoma using muscle fiber orientations derived from diffusion tensor imaging
Nadya Shusharina, Xiaofeng Liu, Jaume Coll-Font +5
Objective: Soft-tissue sarcoma spreads preferentially along muscle fibers. We explore the utility of deriving muscle fiber orientations from diffusion tensor MRI (DT-MRI) for defin…
Free-breathing 3D Cardiac T1 Mapping with Transmit B1 Correction at 3T
Paul Kyu Han, Thibault Marin, Yanis Djebra +4
Purpose: To develop a cardiac T1 mapping method for free-breathing 3D T1 mapping of the whole heart at 3T with transmit B1 (B1+) correction Methods: A free-breathing, ECG-gated inv…
Deep learning-based GTV contouring modeling inter- and intra- observer variability in sarcomas
Thibault Marin, Yue Zhuo, Rita Maria Lahoud +11
Background and purpose: The delineation of the gross tumor volume (GTV) is a critical step for radiation therapy treatment planning. The delineation procedure is typically performe…
Artificial Intelligence-Based Image Enhancement in PET Imaging: Noise Reduction and Resolution Enhancement
Juan Liu, Masoud Malekzadeh, Niloufar Mirian +3
High noise and low spatial resolution are two key confounding factors that limit the qualitative and quantitative accuracy of PET images. AI models for image denoising and deblurri…
Motion correction for PET using subspace-based real-time MR imaging in simultaneous PET/MR
Thibault Marin, Yanis Djebra, Paul K. Han +6
Image quality of PET reconstructions is degraded by subject motion occurring during the acquisition. MR-based motion correction approaches have been studied for PET/MR scanners and…
Super Resolution of Arterial Spin Labeling MR Imaging Using Unsupervised Multi-Scale Generative Adversarial Network
Jianan Cui, Kuang Gong, Paul Han +2
Arterial spin labeling (ASL) magnetic resonance imaging (MRI) is a powerful imaging technology that can measure cerebral blood flow (CBF) quantitatively. However, since only a smal…
A layered single-side readout DOI TOF-PET detector
L. Bläckberg, S. Sajedi, G. El Fakhri +1
We are exploring a scintillator-based detector with potential of high sensitivity, DOI capability and timing resolution in a single-side readout configuration. Our concept combines…
MR-Based PET Attenuation Correction using a Combined Ultrashort Echo Time/Multi-Echo Dixon Acquisition
Paul Kyu Han, Debra E. Horng, Kuang Gong +7
We propose a magnetic resonance (MR)-based method for estimation of continuous linear attenuation coefficients (LAC) in positron emission tomography (PET) using a physical compartm…
Computationally Efficient Deep Neural Network for Computed Tomography Image Reconstruction
Dufan Wu, Kyungsang Kim, Quanzheng Li
Deep-neural-network-based image reconstruction has demonstrated promising performance in medical imaging for under-sampled and low-dose scenarios. However, it requires large amount…
Simulation study of light transport in laser-processed LYSO:Ce detectors with single-side readout
Lisa Bläckberg, Georges El Fakhri, Hamid Sabet
A tightly focused pulsed laser can locally modify the crystal structure inside the bulk of a scintillator. The result is incorporation of so-called optical barriers with a refracti…
Attenuation correction for brain PET imaging using deep neural network based on dixon and ZTE MR images
Kuang Gong, Jaewon Yang, Kyungsang Kim +3
Positron Emission Tomography (PET) is a functional imaging modality widely used in neuroscience studies. To obtain meaningful quantitative results from PET images, attenuation corr…
End-to-end Lung Nodule Detection in Computed Tomography
Dufan Wu, Kyungsang Kim, Bin Dong +2
Computer aided diagnostic (CAD) system is crucial for modern med-ical imaging. But almost all CAD systems operate on reconstructed images, which were optimized for radiologists. Co…
Learning the Sparse and Low Rank PARAFAC Decomposition via the Elastic Net
Songting Shi, Xiang Li, Arkadiusz Sitek +1
In this article, we derive a Bayesian model to learning the sparse and low rank PARAFAC decomposition for the observed tensor with missing values via the elastic net, with property…
A Bayesian spatial temporal mixtures approach to kinetic parametric images in dynamic Positron Emission Tomography
Wanchuang Zhu, Jinsong Ouyang, Yothin Rakvongthai +5
We present a fully Bayesian statistical approach to the problem of compartmental modelling in the context of Positron Emission Tomography. We cluster homogeneous region of interest…