A5071202587- Optical Imaging and Spectroscopy Techniques
- Photoacoustic and Ultrasonic Imaging
- Non-Invasive Vital Sign Monitoring
- Infrared Thermography in Medicine
- Digital Radiography and Breast Imaging
- Microwave Imaging and Scattering Analysis
- Medical Imaging Techniques and Applications
- Functional Brain Connectivity Studies
- Geophysical Methods and Applications
- Calibration and Measurement Techniques
- Random lasers and scattering media
- Advanced Optical Sensing Technologies
- Advanced MRI Techniques and Applications
- Electrical and Bioimpedance Tomography
- Laser Applications in Dentistry and Medicine
- Spectroscopy Techniques in Biomedical and Chemical Research
- Ultrasound Imaging and Elastography
- Advanced Image Fusion Techniques
- Advanced Fluorescence Microscopy Techniques
- Image and Signal Denoising Methods
- Spaceflight effects on biology
- Radiation Dose and Imaging
- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
- Hemodynamic Monitoring and Therapy
Northeastern University
2016-2025
Universidad del Noreste
2017-2024
Boston University
2006-2024
Queensland University of Technology
2024
Qinghai University Affiliated Hospital
2024
Ministry of Agriculture and Rural Affairs
2024
Nanjing Agricultural University
2022-2024
Anhui University
2022
Anhui Medical University
2022
Second Hospital of Anhui Medical University
2022
We report a parallel Monte Carlo algorithm accelerated by graphics processing units (GPU) for modeling time-resolved photon migration in arbitrary 3D turbid media. By taking advantage of the massively threads and low-memory latency, this allows many photons to be simulated simultaneously GPU. To further improve computational efficiency, we explored two random number generators (RNG), including floating-point-only RNG based on chaotic lattice. An efficient scheme boundary reflection was...
We report a general purpose mesh generator for creating finite-element surface or volumetric from 31) binary gray-scale medical images. This toolbox incorporates number of existing free processing utilities and enables researchers to perform range tasks image-based generation, including raw image processing, extraction, re-sampling, multi-scale/adaptive tetrahedral generation. also implemented robust algorithms meshing open-surfaces sub-region labeling. Atomic each step can be accessed with...
The benefit of deep brain stimulation (DBS) for Parkinson disease (PD) may depend on connectivity between the site and other regions, but which regions whether can predict outcome in patients remain unknown. Here, we identify structural functional profile effective DBS to subthalamic nucleus (STN) test its ability an independent cohort.A training dataset 51 PD with STN was combined publicly available human connectome data (diffusion tractography resting state connectivity) connections...
We describe a fast mesh-based Monte Carlo (MC) photon migration algorithm for static and time-resolved imaging in 3D complex media. Compared with previous works using voxel-based media discretization, approach can be more accurate modeling targets curved boundaries or locally refined structures. implement an efficient ray-tracing technique Plücker Coordinates. The Barycentric coordinates computed from Plücker-formed enables us to use linear Lagrange basis functions model both properties...
The blood oxygenation level-dependent (BOLD) contrast is widely used in functional magnetic resonance imaging (fMRI) studies aimed at investigating neuronal activity. However, the BOLD signal reflects changes volume and rather than activity per se. Therefore, understanding transformation of microscopic vascular behavior into macroscopic signals foundation physiologically informed noninvasive neuroimaging. Here, we use oxygen-sensitive two-photon microscopy to measure BOLD-relevant...
We present a highly scalable Monte Carlo (MC) three-dimensional photon transport simulation platform designed for heterogeneous computing systems. Through the development of massively parallel MC algorithm using Open Computing Language framework, this research extends our existing graphics processing unit (GPU)-accelerated technique to vendor-independent environment, achieving significantly improved performance and software portability. A number techniques are investigated achieve portable...
This report is the second part of a comprehensive two-part series aimed at reviewing an extensive and diverse toolkit novel methods to explore brain health function. While first focused on neurophotonic tools mostly applicable animal studies, here, we highlight optical spectroscopy imaging relevant noninvasive human studies. We outline current state-of-the-art technologies software advances, most recent impact these neuroscience clinical applications, identify areas where innovation needed,...
To explore the optical and physiologic properties of normal lesion-bearing breasts by using a combined digital breast tomosynthesis (DBT) imaging system.Institutional review board approval patient informed consent were obtained for this HIPAA-compliant study. Combined analysis was performed in 189 from 125 subjects (mean age, 56 years ± 13 [standard deviation]), including 138 with negative findings 51 lesions. Three-dimensional (3D) maps total hemoglobin concentration (Hb(T)), oxygen...
In this paper, we report new progress in developing the instrument and software platform of a combined X-ray mammography/diffuse optical breast imaging system. Particularly, focus on system validation using series balloon phantom experiments image analysis 49 healthy patients. Using finite-element method for forward modeling regularized Gauss-Newton parameter reconstruction, recovered inclusions inside hemoglobin images human breasts. An enhanced coupling coefficient estimation scheme was...
Significance: Functional near-infrared spectroscopy (fNIRS) has become an important research tool in studying human brains. Accurate quantification of brain activities via fNIRS relies upon solving computational models that simulate the transport photons through complex anatomy. Aim: We aim to highlight importance accurate anatomical modeling context and propose a robust method for creating high-quality brain/full-head tetrahedral mesh neuroimaging analysis. Approach: have developed...
SignificanceThe diffusion approximation (DA) is used in functional near-infrared spectroscopy (fNIRS) studies despite its known limitations due to the presence of cerebrospinal fluid (CSF). Many these rely on a set empirical CSF optical properties, recommended by previous simulation study, that were not selected for purpose minimizing DA modeling errors.AimWe aim directly quantify accuracy solutions brain models comparing those with gold-standard produced mesh-based Monte Carlo (MMC), based...
We report a wide-field compressive diffuse optical tomography (DOT) system – mammography co-imager (OMCI) which aims to augment tens of thousands existing x-ray or tomosynthesis systems worldwide by adding functional assessment breast tissue and improve cancer diagnosis. The OMCI utilizes large field-of-view structured light illumination single-pixel-camera based detection techniques produce ultra-high spatial sampling density while ensuring that the inverse problem remains compact via...
There is an increasing need for quantitative and computationally affordable models analyzing tissue metabolism hemodynamics in microvascular networks. In this work, we develop a hybrid model to solve the time-varying oxygen advection-diffusion equation vessels tissue. To obtain three-dimensional temporal evolution of concentration realistic complex vessel networks, used graph-based advection combined with finite-element based diffusion implicit time-advancing scheme. We validated algorithm...
In this report, we discuss the use of contemporary ray-tracing techniques to accelerate 3D mesh-based Monte Carlo photon transport simulations. Single Instruction Multiple Data (SIMD) based computation and branch-less design are exploited ray-tetrahedron intersection tests yield a 2-fold speed-up for calculations on multi-core CPU. As part work, have also studied SIMD-accelerated random number generators math functions. The combination these achieved an overall improvement 22% in simulation...
Perturbation Monte Carlo (pMC) has been previously proposed to rapidly recompute optical measurements when small perturbations of properties are considered, but it was largely restricted changes associated with prior tissue segments or regions-of-interest. In this work, we expand pMC compute spatially and temporally resolved sensitivity profiles, i.e. the Jacobians, for diffuse tomography (DOT) applications. By recording pseudo random number generator (PRNG) seeds each detected photon, able...
The transcranial photobiomodulation (t-PBM) technique is a promising approach for the treatment of wide range neuropsychiatric disorders, including disorders characterized by poor regulation emotion such as major depressive disorder (MDD). We examine various approaches to deliver red and near-infrared light dorsolateral prefrontal cortex (dlPFC) ventromedial (vmPFC) in human brain, both which have shown strong relevance MDD. apply our hardware-accelerated Monte Carlo simulations...
The mesh-based Monte Carlo (MMC) algorithm is increasingly used as the gold-standard for developing new biophotonics modeling techniques in 3-D complex tissues, including both diffusion-based and various (MC)-based methods. Compared to multilayered voxel-based MCs, MMC can utilize tetrahedral meshes gain improved anatomical accuracy but also results higher computational memory demands. Previous attempts of accelerating using graphics processing units (GPUs) have yielded limited performance...
Over the past decade, an increasing body of evidence has suggested that three-dimensional (3-D) Monte Carlo (MC) light transport simulations are affected by inherent limitations and errors voxel-based domain boundaries. In this work, we specifically address challenge using a hybrid MC algorithm, namely split-voxel or SVMC, combines both mesh voxel information to greatly improve simulation accuracy while remaining highly flexible efficient in parallel hardware, such as graphics processing...
Significance: Despite the ample progress made toward faster and more accurate Monte Carlo (MC) simulation tools over past decade, limited usability accessibility of these advanced modeling remain key barriers to widespread use among broad user community. Aim: An open-source, high-performance, web-based MC simulator that builds upon modern cloud computing architectures is highly desirable deliver state-of-the-art simulations hardware acceleration general users without need for special...
An efficient Gauss-Newton iterative imaging technique utilizing a three-dimensional (3-D) field solution coupled to two-dimensional (2-D) parameter estimation scheme (3-D/2-D) is presented for microwave tomographic in medical applications. While electromagnetic wave propagation described fully by 3-D vector field, scalar model has been applied improve the efficiency of reconstruction process with apparently limited reduction accuracy. In addition, image recovery restricted 2-D but...
We evaluated the potential of mesh-based Monte Carlo (MC) method for widefield time-gated fluorescence molecular tomography, aiming to improve accuracy in both shape discretization and photon transport modeling preclinical settings. An optimized software platform was developed utilizing multithreading distributed parallel computing achieve efficient calculation. validated proposed algorithm by simulations vivo studies. The results establish that (mMC) is a computationally solution optical...
Near-infrared spectroscopy (NIRS) estimations of the adult brain baseline optical properties based on a homogeneous model head are known to introduce significant contamination from extracerebral layers. More complex models have been proposed and occasionally applied in vivo data, but their performances never characterized realistic structures. Here we implement flexible fitting routine time-domain NIRS data using graphics processing unit Monte Carlo simulations. We compare results for two...