- Advanced MRI Techniques and Applications
- Cardiovascular Function and Risk Factors
- Advanced Neuroimaging Techniques and Applications
- Cardiac Imaging and Diagnostics
- Medical Imaging Techniques and Applications
- Cerebrovascular and Carotid Artery Diseases
- MRI in cancer diagnosis
- Lanthanide and Transition Metal Complexes
- Medical Image Segmentation Techniques
- Advanced Radiotherapy Techniques
- Advanced Fluorescence Microscopy Techniques
- Cytokine Signaling Pathways and Interactions
- Domain Adaptation and Few-Shot Learning
- Genital Health and Disease
- Urological Disorders and Treatments
- Asymmetric Synthesis and Catalysis
- Cyclization and Aryne Chemistry
- Electrocatalysts for Energy Conversion
- Remote Sensing and LiDAR Applications
- Photoacoustic and Ultrasonic Imaging
- Advanced Research in Systems and Signal Processing
- Bladder and Urothelial Cancer Treatments
- Robotics and Sensor-Based Localization
- Automated Road and Building Extraction
- Radiomics and Machine Learning in Medical Imaging
University of California, Los Angeles
2020-2024
University of Southern California
2022-2024
Cedars-Sinai Medical Center
2020-2024
First Affiliated Hospital of Anhui Medical University
2024
Anhui Medical University
2024
Xinjiang University
2023
South China University of Technology
2022
East China University of Science and Technology
2021
Xiangyang Hospital of Traditional Chinese Medicine
2021
Shanghai University of Traditional Chinese Medicine
2021
The aim of this study is to simultaneously quantify T1/T2 across three slices the left-ventricular myocardium without breath-holds or ECG monitoring, all within a 3 min scan. Radial simultaneous multi-slice (SMS) encoding, self-gating, and image reconstruction was incorporated into cardiovascular magnetic resonance (CMR) Multitasking framework short-axis slices. A T2prep-IR FLASH sequence with two flip angles designed implemented allow B1+-robust T1 T2 mapping. proposed Multitasking-SMS...
Abstract Purpose Widely used conventional 2D T 2 * approaches that are based on breath‐held, electrocardiogram (ECG)–gated, multi‐gradient‐echo sequences prone to motion artifacts in the presence of incomplete breath holding or arrhythmias, which is common cardiac patients. To address these limitations, a 3D, non‐ECG‐gated, free‐breathing technique enables rapid whole‐heart coverage was developed and validated. Methods A continuous random Gaussian 3D k‐space sampling implemented using...
Intracardiac thrombus in the left atrium and atrial appendage (LA/LAA) ventricle (LV) increases risk of systemic thromboembolism causes potentially devastating diseases such as ischemic stroke acute ischemia abdominal organs lower extremities. Detecting presence monitoring resolution heart intracardiac are vital importance for stratifying patients guiding treatment decisions. Currently, echocardiography is most frequently used method above clinical needs, followed by computed tomography. An...
Over the past few years, there have been significant advancements in deep learning technology, leading to remarkable progress field of image analysis. However, when it comes handling complex remote sensing images, current semantic segmentation methods still face challenges and do not perform as well desired. How obtain both spatial detail information at same time is an urgent problem be solved. This letter proposes a context fusion network based on boundary guidance (BGFNet), which...
To develop an MR multitasking-based multidimensional assessment of cardiovascular system (MT-MACS) with electrocardiography-free and navigator-free data acquisition for a comprehensive evaluation thoracic aortic diseases.The MT-MACS technique adopts low-rank tensor image model cardiac time dimension phase-resolved cine imaging T2 -prepared inversion-recovery multicontrast assessment. Twelve healthy subjects 2 patients diseases were recruited the study at 3 T, both qualitative (image quality...
Abstract Purpose Radiotherapy treatment planning (RTP) using MR has been used increasingly for the abdominal site. Multiple contrast weightings and motion‐resolved imaging are desired accurate delineation of target various organs‐at‐risk patient‐tailored planning. Current protocols achieve these through multiple scans with distinct variable respiratory motion management strategies acquisition parameters, leading to a complex inaccurate process. This study presents standalone Multitasking...
Abstract Objective. To develop and test the feasibility of a novel Single ProjectIon DrivEn Real-time Multi-contrast (SPIDERM) MR imaging technique that can generate real-time 3D images on-the-fly with flexible contrast weightings low latency. Approach. In SPIDERM, ‘prep’ scan is first performed, sparse k-space sampling periodically interleaved central line (navigator data), to learn subject-specific model, incorporating spatial subspace linear transformation between navigator data...
Purpose To extend the MR M ulti T asking‐based ultidimensional A ssessment of C ardiovascular S ystem (MT‐MACS) technique with larger spatial coverage and water‐fat separation for comprehensive aortocardiac assessment. Methods MT‐MACS adopts a low‐rank tensor image model 7D imaging, three dimensions volumetric one cardiac motion dimension cine respiratory free‐breathing T2‐prepared inversion recovery time multi‐contrast assessment, T2*‐decay separation. Nine healthy subjects were recruited...
Purpose (1) To investigate the effect of internal localized movement on 3DMR intracranial vessel wall imaging and (2) to develop a novel motion‐compensation approach combining volumetric navigator (vNav) self‐gating (SG) simultaneously compensate for bulk movements. Methods A 3D variable‐flip‐angle turbo spin‐echo (ie, SPACE) sequence was modified incorporate vNav SG modules. The signals from center k‐space line are acquired at beginning each TR detect motion‐affected TRs. vNavs...
Purpose To develop an MR multitasking‐based dynamic imaging for cerebrovascular evaluation (MT‐DICE) technique simultaneous quantification of permeability and leakage‐insensitive perfusion with a single‐dose contrast injection. Methods MT‐DICE builds on saturation‐recovery prepared multi‐echo fast low‐angle shot sequence. The k‐space is randomly sampled 7.6 min, agent injected 1.5 min into the scan. multitasking used to model data six dimensions, including three spatial dimensions...
The causal associations and potential mechanisms between prostatic diseases, the predominant male urological disorders, course of COVID-19 remain unclear. A two-sample Mendelian randomization (MR) analysis was performed to evaluate prostate cancer, benign hyperplasia, prostatitis different outcomes (SARS-CoV-2 infection, hospitalized COVID-19, severe COVID-19). Reverse MR, linkage disequilibrium score regression, Bayesian colocalization analyses were subsequently strengthen identified...
Cardiovascular diseases are common causes of mortality and morbidity globally. An MR MultiTasking based 3D Multi-dimensional Assessment System (MT-MACS) technique has recently been developed to provide multi-contrast, cardiac phase-resolved imaging the whole heart thoracic aorta in a single scan without need for ECG triggering or respiratory navigation. We aimed assess performance MT-MACS patients with suspicious cardiovascular diseases. demonstrated feasibility using routine clinical...
3D MR vessel wall imaging (VWI) is a non-invasive modality for directly assessing intracranial arterial diseases. A typical VWI protocol requires 6-12 minutes per scan to obtain adequate spatial coverage and resolution. Such long time hinders widespread use of in clinical settings. We have developed multi-channel application-ready vessel-dedicated CAscaded Multi-level WAvelet REfine (CAMWARE) network that enables within 4 minutes. The proposed achieved significant improvement delination over...
Brain tumors represent a great therapeutic challenge and tend to impact blood brain barrier (BBB) integrity, angiogenesis, vascularity. Dynamic contrast-enhanced (DCE) MRI is widely used quantify BBB permeability dynamic susceptibility contrast (DSC) cerebral perfusion. We incorporated the newly developed MR multitasking-based imaging for cerebrovascular evaluation (MT-DICE) technique achieve simultaneous DCE DSC acquisition with single-dose injection. MT-DICE could parameters good...
We have recently developed an MR MultiTasking based Dynamic Imaging for Cerebrovascular Evaluation (MT-DICE) technique that provides DCE- and leakage-corrected DSC-MRI parameters simultaneously with one scan a single-dose contrast injection. This work further expanded the by incorporating quantitative susceptibility mapping. The refined was validated in healthy volunteers patients, demonstrating good agreement reference methods.
Phase instability is a serious problem in swept-source optical coherence tomography (OCT) with polygon tunable lasers; however, these devices have additional issues. We found that lasers also fluctuations output power and sweep range: the former creates artifacts may impair recognition of sample information, latter reduces interference signal utilization during phase correction. demonstrate method uses calibration to quantify problems improve system stability image quality. The proposed...
A 3D fully ungated, free breathing cardiac T2* technique was developed using a low-rank tensor framework. An animal model with iron-oxide contrast-enhanced studies used to test and validate the proposed technique. images reconstructed from approach showed better image quality than those conventional 2D imaging approach. Excellent agreement of septal found between Our findings show that can accurately characterize myocardium under baseline during iron overload conditions.
3D MR vessel wall imaging (VWI) is a non-invasive modality for directly assessing intracranial arterial diseases. A typical VWI protocol requires 6-12 minutes per scan to obtain adequate spatial coverage and resolution. Such long time hinders widespread use of in clinical settings. We have developed novel vessel-dedicated CAscaded Multi-level WAvelet REfine (CAMWARE) network that enables within 4 minutes. The proposed achieved significant improvement delination over conventional compressed...
MR Multitasking-based Dynamic Imaging for Cerebrovascular Evaluation (MT-DICE) technique is recently developed and has the potential to provide DCE- leakage-corrected DSC-MRI parameters simultaneously with one 7.6-minute scan a single-dose contrast injection. However, it remains practical challenge validate against their respective references repeated injections in separate days. In this work, we perform numerical simulation study accuracy of MT-DICE estimation permeability perfusion metrics.
Faster MRI scans can be achieved by acquiring low resolution images or SNR and enhancing them to standard-of-care using deep learning techniques. However, achieve clinical diagnostic quality images, this requires a large number of paired datasets train the model. Here we show that multi-task convolutional neural network (DCNN) trained only simulated motion artifact, SNR, is capable improving clinically acquired from corrupted accelerated sequences.
Abstract Background: This study aimed to explore the main components and targets of E-Lian granule through which it reversed chronic atrophic gastritis with intestinal metaplasia, based on traditional Chinese Medicine Integrated Pharmacology Network Computing Research Platform V2.0 (TCMIP V2.0) combined GEO gene chips. It also construct various networks predict analyze mechanism in treating gastric precancerous lesions. Methods: The effective medicine prescription were obtained using TCMIP...