A5071639216- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
- Fetal and Pediatric Neurological Disorders
- Medical Imaging Techniques and Applications
- Neonatal and fetal brain pathology
- Atomic and Subatomic Physics Research
- Pediatric Urology and Nephrology Studies
- Radiomics and Machine Learning in Medical Imaging
- Congenital Diaphragmatic Hernia Studies
- Functional Brain Connectivity Studies
- Prenatal Screening and Diagnostics
- Advanced Image Processing Techniques
- Bone and Joint Diseases
- Medical Image Segmentation Techniques
- Sparse and Compressive Sensing Techniques
- Cardiac Imaging and Diagnostics
- Hip disorders and treatments
- NMR spectroscopy and applications
- Multiple Sclerosis Research Studies
- Neural dynamics and brain function
- Metabolism and Genetic Disorders
- Cardiovascular Function and Risk Factors
- Congenital Heart Disease Studies
- Advanced NMR Techniques and Applications
Boston Children's Hospital
2016-2025
Harvard University
2016-2025
Lemuel Shattuck Hospital
2020-2025
Norwegian Womens Public Health Association
2024
Cincinnati Children's Hospital Medical Center
2023
Boston Children's Museum
2016-2023
Boston University
2015-2023
Siemens (Switzerland)
2022
Harvard University Press
2019
Northeastern University
2007-2011
Abstract Longitudinal characterization of early brain growth in-utero has been limited by a number challenges in fetal imaging, the rapid change size, shape and volume developing brain, consequent lack suitable algorithms for image analysis. There is need an improved digital atlas spatiotemporal maturation extending over key developmental periods. We have developed algorithm construction unbiased four-dimensional integrating symmetric diffeomorphic deformable registration space with kernel...
Fetal magnetic resonance imaging (MRI) examinations have become well-established procedures at many institutions and can serve as useful adjuncts to ultrasound (US) exams when diagnostic doubts remain after US. Due fetal motion, however, MRI are challenging require the MR scanner be used in a somewhat different mode than that employed for more routine clinical studies. Herein we review techniques most commonly used, those available, with an emphasis on physics of how deploy them improve...
Congenital heart disease (CHD) is associated with abnormal brain development in utero. We applied innovative fetal magnetic resonance imaging (MRI) techniques to determine whether reduced cerebral substrate delivery impacts the globally, or a region-specific pattern. Our novel design included two control groups, one and other without family history of CHD, explore contribution shared genes and/or environment development.From 2014 2018, we enrolled 179 pregnant women into 4 groups: "HLHS/TGA"...
Abstract Diffusion magnetic resonance imaging (dMRI) is pivotal for probing the microstructure of rapidly-developing fetal brain. However, motion during scans and its interaction with field inhomogeneities result in artifacts data scattering across spatial angular domains. The effects those are more pronounced high-angular resolution dMRI, where signal-to-noise ratio very low. Those lead to biased estimates compromise consistency reliability dMRI analysis. This work presents HAITCH, first...
Abstract Fetuses with congenital heart disease (CHD) have third trimester alterations in cortical development on brain magnetic resonance imaging (MRI). However, the intersulcal relationships contributing to global sulcal pattern remain unknown. This study applied a novel method for examining geometric and topological between sulci fetal MRIs from 21–30 gestational weeks CHD fetuses (n = 19) typically developing (TD) 17). Sulcal similarity index (SI) template was determined position, area,...
Abstract The third trimester of pregnancy is a period rapid development fiber bundles in the fetal white matter. Using recently developed motion‐tracked slice‐to‐volume registration (MT‐SVR) method, we aimed to quantify tract‐specific developmental changes apparent diffusion coefficient (ADC), fractional anisotropy (FA), and volume healthy fetuses. To this end, reconstructed tensor images from motion corrected magnetic resonance imaging data. With an approved protocol, MRI exams were...
The interpretation and analysis of Magnetic resonance imaging (MRI) benefit from high spatial resolution. Unfortunately, direct acquisition resolution MRI is time-consuming costly, which increases the potential for motion artifact, suffers reduced signal-to-noise ratio (SNR). Super-resolution reconstruction (SRR) one most widely used methods in since it allows trade-off between resolution, SNR, scan times. Deep learning has emerged improved SRR as compared to conventional methods. However,...
Purpose To develop a novel framework for rapid, intrinsic head motion measurement in MRI using FID navigators (FIDnavs) from multichannel coil array. Methods FIDnavs encode substantial rigid‐body information; however, current implementations require patient‐specific training with external tracking data to extract quantitative positional changes. In this work, forward model of FIDnav signals was calibrated simulated movement reference image within the spatial sensitivities. A module inserted...
Purpose To assess the robustness and repeatability of intravoxel incoherent motion model (IVIM) parameter estimation for diffusion‐weighted MRI in abdominal organs under constraints noisy diffusion signal using a novel neural network method. Methods Clinically acquired scans Crohn’s disease patients were retrospectively analyzed with regions segmented kidney cortex, spleen, liver, bowel. A IVIM fitting method based on principle physics guided self‐supervised convolutional that does not...
Background Tools in image reconstruction, motion correction, and segmentation have enabled the accurate volumetric characterization of fetal brain growth at MRI. Purpose To evaluate intracranial structures healthy fetuses, accounting for gestational age (GA), sex, laterality with use a spatiotemporal MRI atlas development. Materials Methods T2-weighted 3.0-T half-Fourier acquired single-shot turbo spin-echo sequence was performed fetuses from prospectively recruited pregnant volunteers March...
Fetal MRI has emerged as a cornerstone of prenatal imaging, helping to establish the correct diagnosis in pregnancies affected by congenital anomalies. In past decade, 3 T imaging was introduced an alternative increase signal-to-noise ratio (SNR) pulse sequences and improve anatomic detail. However, at higher field strength is not without challenges. Many artifacts that are barely appreciable 1.5 amplified T. A systematic approach incorporates appropriate patient positioning, thoughtful...
This work proposes a novel approach for motion-robust diffusion-weighted (DW) brain MRI reconstruction through tracking temporal head motion using slice-to-volume registration. The slice-level is estimated filtering that allows the during scan and correcting out-of-plane inconsistency in acquired images. Diffusion-sensitized image slices are registered to base volume sequentially over time acquisition order where an outlier-robust Kalman filter, coupled with registration, estimates...
Abstract This work presents detailed anatomic labels for a spatiotemporal atlas of fetal brain Diffusion Tensor Imaging (DTI) between 23 and 30 weeks post‐conceptional age. Additionally, we examined developmental trajectories in fractional anisotropy (FA) mean diffusivity (MD) across gestational ages (GA). We performed manual segmentations on DTI atlas. labeled 14 regions interest (ROIs): cortical plate (CP), subplate (SP), Intermediate zone‐subventricular zone‐ventricular zone (IZ/SVZ/VZ),...
The objective was to use convolutional neural networks (CNNs) for automatic segmentation of hip cartilage and labrum based on 3D MRI. In this retrospective single-center study, CNNs with a U-Net architecture were used develop fully automated model from Direct MR arthrographies (01/2020-10/2021) selected 100 symptomatic patients. Institutional routine protocol included T1 mapping sequence, which manual labrum. 80 hips training the remaining 20 testing. Model performance assessed six...
Abstract Purpose To improve the quality of abdominal diffusion‐weighted MR images (DW‐MRI) when acquired using single‐repetition (NEX = 1) protocols, and thereby increase apparent diffusion coefficient (ADC) map accuracy lesion conspicuity at high b‐values. We aim to reduce effect blurring due motion that obscures small lesions averaging multiple repetition each b‐value, which is current clinical standard. Methods propose a self‐supervised denoising probabilistic model (ssDDPM) DW‐MRI given...
Population averaged diffusion atlases can be utilized to characterize complex microstructural changes with less bias than data from individual subjects. In this study, a fetal tensor imaging (DTI) atlas was used investigate tract-based in anisotropy and diffusivity vivo 23 38 weeks of gestational age (GA). Healthy pregnant volunteers typically developing fetuses were imaged at 3 T. Acquisition included structural images processed super-resolution algorithm DTI motion-tracked slice-to-volume...
ABSTRACT During the second and third trimesters of human gestation, brain undergoes rapid neurodevelopment thanks to critical processes such as neuronal migration, radial glial scaffolding, synaptic sprouting. Unfortunately, gathering high‐quality MRI data on healthy fetal is complex, making it challenging understand this development. To address issue, we conducted a study using motion‐corrected diffusion tensor imaging (DTI) analyze changes in cortical gray matter (CP) sub‐cortical white...