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Machine learning without a feature set for detecting bursts in the EEG of preterm infantsJul 16 2019Deep neural networks enable learning directly on the data without the domain knowledge needed to construct a feature set. This approach has been extremely successful in almost all machine learning applications. We propose a new framework that also learns ... More
Technical Report: Time-Activity-Curve Integration in Lu-177 Therapies in Nuclear MedicineJul 15 2019Currently, there is a high interest in Lu-177 targeted radionuclide therapies, which could be attributed to favourable results obtained from Lu-177 compounds targeting neuroendocrine and prostate tumours. Generally, it has been recognized that a transition ... More
Where did the tumor start? An inverse solver with sparse localization for tumor growth modelsJul 15 2019We present a numerical scheme for solving an inverse problem for parameter estimation in tumor growth models for glioblastomas, a form of aggressive primary brain tumor. The growth model is a reaction-diffusion partial differential equation (PDE) for ... More
Spatially-selective and quantum-statistics-limited light stimulus for retina quantum biometrics and quantum pupillometryJul 15 2019Quantum vision is currently emerging as an interdisciplinary field synthesizing the physiology of human vision with modern quantum optics. We recently proposed a biometric scheme based on the human visual system's ability to perform photon counting. We ... More
Optimal experimental design for biophysical modelling in multidimensional diffusion MRIJul 13 2019Computational models of biophysical tissue properties have been widely used in diffusion MRI (dMRI) research to elucidate the link between microstructural properties and MR signal formation. For brain tissue, the research community has developed the so-called ... More
Complexity of Brain TumorsJul 13 2019Jul 17 2019Tumor growth is a complex process characterized by uncontrolled cell proliferation and invasion of neighboring tissues. The understanding of these phenomena is of vital importance to establish appropriate diagnosis and therapeutic strategy and starts ... More
Complexity of Brain TumorsJul 13 2019Tumor growth is a complex process characterized by uncontrolled cell proliferation and invasion of neighboring tissues. The understanding of these phenomena is of vital importance to establish appropriate diagnosis and therapeutic strategy and starts ... More
$^7$Be and $^{22}$Na radionuclides for a new therapy of cancerJul 12 2019The $^{10}$B isotope has been almost exclusively used in the neutron-capture radiation therapy (NCT) of cancer for decades. We have identified two other nuclides suitable for the radiotherapy, which have ca.10 times larger cross section of absorption ... More
Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and ExplorationJul 12 2019We describe a visual computing approach to radiation therapy (RT) planning, based on spatial similarity within a patient cohort. In radiotherapy for head and neck cancer treatment, dosage to organs at risk surrounding a tumor is a large cause of treatment ... More
Topological complexity of photons' paths in biological tissuesJul 12 2019In the present contribution three means of measuring the geometrical and topological complexity of photons' paths in random media are proposed. This is realized by investigating the behavior of the average crossing number, the mean writhe, and the minimal ... More
Regularized HessELM and Inclined Entropy Measurement for Congestive Heart Failure PredictionJul 12 2019Our study concerns with automated predicting of congestive heart failure (CHF) through the analysis of electrocardiography (ECG) signals. A novel machine learning approach, regularized hessenberg decomposition based extreme learning machine (R-HessELM), ... More
Modèle géométrique pour une Caractérisation morphométrique d'individus dans des conditions \textit{in situ}Jul 12 2019We develop a non invasive method for determine morphometric caracteristic of individuals. We modelize a individual by a polyarticulated chain of rigid segments and each of these segments corresponds to a volume. For this, each segment is photographed ... More
Assessing postural instability during cerebral hypoperfusion using sub-millimeter monocular 3D sway trackingJul 11 2019Postural instability is prevalent in aging and neurodegenerative disease, decreasing quality of life and independence. Quantitatively monitoring balance control is important for assessing treatment efficacy and rehabilitation progress. However, existing ... More
Theoretical Limit Of Concentration Sensing of Single Receptor Artificial BiosensorsJul 11 2019Artificially engineered biosensors are highly inefficient in accurately measuring the concentration of biomarkers, particularly, during early diagnosis of diseases. On the other hand, single cellular systems such as chemotactic bacteria can sense their ... More
Robust GPU-based Virtual Reality Simulation of Radio Frequency Ablations for Various Needle Geometries and LocationsJul 11 2019Purpose: Radio-frequency ablations play an important role in the therapy of malignant liver lesions. The navigation of a needle to the lesion poses a challenge for both the trainees and intervening physicians. Methods: This publication presents a new ... More
Fundamental Limitations in Biomarker Based Early Disease DiagnosisJul 11 2019Clinical biosensors with low detection limit hold significant promise in the early diagnosis of debilitating diseases. Recent progress in sensor development has led to the demonstration of detection capable of detecting target molecules even down to single-molecule ... More
Error reduction in biosensors using secondary labelingJul 10 2019In this article, we derive the limit of detection for a two-step molecular recognition process and show that in-spite of all the recognition reactions being in equilibrium the overall error rates can be reduced exactly as much as possible in non-equilibrium ... More
Measurement of $^{139}$La(p,x) Cross Sections from 35-60 MeV by Stacked-Target ActivationJul 09 2019A stacked-target of natural lanthanum foils (99.9119% $^{139}$La) was irradiated using a 60 MeV proton beam at the LBNL 88-Inch Cyclotron. $^{139}$La(p,x) cross sections are reported between 35-60 MeV for nine radionuclides. The primary motivation for ... More
Non-Invasive MGMT Status Prediction in GBM Cancer Using Magnetic Resonance Images (MRI) Radiomics Features: Univariate and Multivariate Machine Learning Radiogenomics AnalysisJul 08 2019Background and aim: This study aimed to predict methylation status of the O-6 methyl guanine-DNA methyl transferase (MGMT) gene promoter status by using MRI radiomics features, as well as univariate and multivariate analysis. Material and Methods: Eighty-two ... More
MRI Super-Resolution with Ensemble Learning and Complementary PriorsJul 06 2019Magnetic resonance imaging (MRI) is a widely used medical imaging modality. However, due to the limitations in hardware, scan time, and throughput, it is often clinically challenging to obtain high-quality MR images. The super-resolution approach is potentially ... More
SANDI: a compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRIJul 05 2019This work introduces a compartment-based model for apparent soma and neurite density imaging (SANDI) using non-invasive diffusion-weighted MRI (DW-MRI). The existing conjecture in brain microstructure imaging trough DW-MRI presents water diffusion in ... More
Analysis of retinal and choroidal images measured by laser Doppler holographyJul 04 2019Laser Doppler holography (LDH) is a full-field imaging technique that was recently used in the human eye to reveal blood flow contrasts in the retinal and choroidal vasculature non-invasively, and with high temporal resolution. We here demonstrate that ... More
Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelinationJul 04 2019The intra-axonal water exchange time {\tau}i, a parameter associated with axonal permeability, could be an important biomarker for understanding demyelinating pathologies such as Multiple Sclerosis. Diffusion-Weighted MRI is sensitive to changes in permeability, ... More
Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning ApproachesJul 03 2019Aim: In the present work, we aimed to evaluate a comprehensive radiomics framework that enabled prediction of EGFR and KRAS mutation status in NSCLC cancer patients based on PET and CT multi-modalities radiomic features and machine learning (ML) algorithms. ... More
Learning with Known Operators reduces Maximum Training Error BoundsJul 03 2019We describe an approach for incorporating prior knowledge into machine learning algorithms. We aim at applications in physics and signal processing in which we know that certain operations must be embedded into the algorithm. Any operation that allows ... More
CT Data of a Pen-Spring: Application to Under-Sampled Dynamic X-ray TomographyJul 03 2019This is the documentation of Computed Tomography (CT) data of a pen-spring. The open data set is available at https://zenodo.org/record/3266936#.XRyMdCZS9oA and can be freely used for scientific purposes with appropriate references to the data and to ... More
An Updated Review of Methods and Advancements in Microvascular Blood Flow ImagingJul 02 2019There has been a consistent growth in research involving imaging of microvasculature over the past few decades. By 2008, publications mentioning the microcirculation had grown more than 2000 per annum. Many techniques have been demonstrated for measurement ... More
The use of the fractal Brouers-Sotolongo formalism to analyze the kinetics of drug releaseJul 02 2019We have applied the Brouers-Sotolongo fractal kinetic equation (BSf(t,n,{\alpha})), improving notably the precision, to nine cases reported recently in the literature on drug release. The reason of using this equation is that it contains as approximations ... More
Eliminating Shadow Artifacts via Generative Inpainting Networks to Quantify Vascular Changes of the ChoroidJul 02 2019Shadow artifacts from retinal vessels hinder the development of quantitative choroidal biomarkers in Optical Coherence Tomography (OCT), which limits the clinical applications of the choroidal OCT to the measures of layer thickness. In this paper, we ... More
Feasibility of cmOCT angiographic technique using 200 kHz VCSEL source for in vivo microcirculation imaging applicationsJul 01 2019Optical coherence tomography (OCT) angiography is a well-established in vivo imaging technique to assess the overall vascular morphology of tissues and is an emerging field of research for the assessment of blood flow dynamics and functional parameters ... More
Adjustable robust treatment-length optimization in radiation therapyJun 28 2019Technological advancements in radiation therapy (RT) allow the collection of biomarker data on individual patient response during treatment. Although biomarker data remains subject to substantial uncertainties, information extracted from this data may ... More
Attenuation Imaging with Pulse-Echo Ultrasound based on an Acoustic ReflectorJun 27 2019Ultrasound attenuation is caused by absorption and scattering in tissue and is thus a function of tissue composition, hence its imaging offers great potential for screening and differential diagnosis. In this paper we propose a novel method that allows ... More
Attenuation Imaging with Pulse-Echo Ultrasound based on an Acoustic ReflectorJun 27 2019Jul 05 2019Ultrasound attenuation is caused by absorption and scattering in tissue and is thus a function of tissue composition, hence its imaging offers great potential for screening and differential diagnosis. In this paper we propose a novel method that allows ... More
Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact ReductionJun 27 2019In total hip arthroplasty, analysis of postoperative medical images is important to evaluate surgical outcome. Since Computed Tomography (CT) is most prevalent modality in orthopedic surgery, we aimed at the analysis of CT image. In this work, we focus ... More
X-ray differential phase contrast imaging on asymmetric dual-phase grating interferometer with source grating: theory and experimentJun 27 2019Recently, the dual-phase grating based X-ray differential phase contrast imaging technique has shown better radiation dose efficiency performance than the Talbot-Lau system. In this paper, we provide a theoretical analyses framework derived from wave ... More
Lattice Boltzmann method for simulation of diffusion magnetic resonance imaging physics in heterogeneous tissue modelsJun 26 2019We report the first implementation of the Lattice Boltzmann method (LBM) to integrate the Bloch-Torrey equation, which describes the evolution of the transverse magnetization vector and the fate of the signal of diffusion magnetic resonance imaging (dMRI). ... More
Developing an App to interpret Chest X-rays to support the diagnosis of respiratory pathology with Artificial IntelligenceJun 26 2019In this paper we present our work to improve access to diagnosis in remote areas where good quality medical services may be lacking. We develop new Machine Learning methodologies for deployment onto mobile devices to help the early diagnosis of a number ... More
Towards direct neuronal current imaging via ultra-low-field MRJun 26 2019The feasibility of using ultra-low-field magnetic resonance (ULF MR) for direct neuronal current imaging (NCI) is investigated by phantom measurements. The aim of NCI is to improve the current localization accuracy for neuronal activity of established ... More
MFP-Unet: A Novel Deep Learning Based Approach for Left Ventricle Segmentation in EchocardiographyJun 25 2019Segmentation of the Left ventricle (LV) is a crucial step for quantitative measurements such as area, volume, and ejection fraction. However, the automatic LV segmentation in 2D echocardiographic images is a challenging task due to ill-defined borders, ... More
High Resolution and High Precision Beam Profile Monitor for Particle AcceleratorJun 25 2019A compact beam profile monitor was developed using a plastic scintillator attached with a contact image sensor and tested by a 230 MeV proton beam. The results indicate that the beam distribution could be obtained in real-time and the precision of the ... More
Learning a sparse database for patch-based medical image segmentationJun 25 2019We introduce a functional for the learning of an optimal database for patch-based image segmentation with application to coronary lumen segmentation from coronary computed tomography angiography (CCTA) data. The proposed functional consists of fidelity, ... More
A Deep Regression Model for Seed Identification in Prostate BrachytherapyJun 24 2019Post-implant dosimetry (PID) is an essential step of prostate brachytherapy that utilizes CT to image the prostate and allow the location and dose distribution of the radioactive seeds to be directly related to the actual prostate. However, it it a very ... More
Improved Reconstruction for high-resolution Multi-shot Diffusion Weighted ImagingJun 24 2019Purpose: To introduce a fast and improved direct reconstruction method for multi-shot diffusion weighted (msDW) scans for high-resolution studies. Methods:Multi-shot EPI methods can enable higher spatial resolution for diffusion MRI studies. Traditionally, ... More
Design of a 1x4 CPW Microstrip Antenna Array on PET Substrate for Biomedical ApplicationsJun 24 2019In this paper, a single layer Coplanar Waveguide-fed microstrip patch antenna array is presented for biomedical applications. The proposed antenna array is realized on a transparent and flexible Polyethylene Terephthalate substrate, has 1x4 radiating ... More
Improving CCTA based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentationJun 24 2019Purpose: The goal of this study was to assess the potential added benefit of accounting for partial volume effects (PVE) in an automatic coronary lumen segmentation algorithm from coronary computed tomography angiography (CCTA). Materials and methods: ... More
A Review on Deep Learning in Medical Image ReconstructionJun 23 2019Medical imaging is crucial in modern clinics to guide the diagnosis and treatment of diseases. Medical image reconstruction is one of the most fundamental and important components of medical imaging, whose major objective is to acquire high-quality medical ... More
Sample phase gradient and fringe phase shift in dual phase grating X-ray interferometryJun 20 2019One of the key tasks in grating based x-ray phase contrast imaging is to accurately retrieve local phase gradients of a sample from measured intensity fringe shifts. To fulfill this task in dual phase grating interferometry, one needs to know the exact ... More
Deformable Slice-to-Volume Registration for Motion Correction in Fetal Body MRIJun 20 2019In MRI, motion correction for fetal body poses a particular challenge due to the presence of local non-rigid transformations of organs caused by bending and stretching. The existing slice-to-volume (SVR) reconstruction methods provide efficient solution ... More
Mean shape of the human limbusJun 20 2019Purpose: To characterize the mean topographical shape of the human limbus of a normal eye and ascertain whether it depends on age and refractive power. Setting: Academic institution. Design: Prospective case series. Methods: 74 subjects aged from 20 to ... More
Mean shape of the human limbusJun 20 2019Jun 25 2019Purpose: To characterize the mean topographical shape of the human limbus of a normal eye and ascertain whether it depends on age and refractive power. Setting: Academic institution. Design: Prospective case series. Methods: 74 subjects aged from 20 to ... More
Automatic target positioning and tracking for image-guided radiotherapy without implanted fiducialsJun 20 2019Current image-guided prostate radiotherapy often relies on the use of implanted fiducials or transducers for target localization. Fiducial or transducer insertion requires an invasive procedure that adds cost and risks for bleeding, infection, and discomfort ... More
Multi-shot Echo Planar Imaging for accelerated Cartesian MR Fingerprinting: an alternative to conventional spiral MR FingerprintingJun 19 2019Purpose: To develop an accelerated Cartesian MRF implementation using a multi-shot EPI sequence for rapid simultaneous quantification of T1 and T2 parameters. Methods: The proposed Cartesian MRF method involved the acquisition of highly subsampled MR ... More
Model-based Deep MR Imaging: the roadmap of generalizing compressed sensing model using deep learningJun 19 2019Jun 20 2019Accelerating magnetic resonance imaging (MRI) has been an ongoing research topic since its invention in the 1970s. Among a variety of acceleration techniques, compressed sensing (CS) has become an important strategy during the past decades. Although CS-based ... More
Model-based Deep MR Imaging: the roadmap of generalizing compressed sensing model using deep learningJun 19 2019Accelerating magnetic resonance imaging (MRI) has been an ongoing research topic since its invention in the 1970s. Among a variety of acceleration techniques, compressed sensing (CS) has become an important strategy during the past decades. Although CS-based ... More
Model-based Deep MR Imaging: the roadmap of generalizing compressed sensing model using deep learningJun 19 2019Jun 23 2019Accelerating magnetic resonance imaging (MRI) has been an ongoing research topic since its invention in the 1970s. Among a variety of acceleration techniques, compressed sensing (CS) has become an important strategy during the past decades. Although CS-based ... More
Magnetic resonance imaging with optical preamplification and detectionJun 19 2019Magnetic resonance (MR) imaging relies on conventional electronics that is increasingly challenged by the push for stronger magnetic fields and higher channel count. These problems can be avoided by utilizing optical technologies. As a replacement for ... More
Simultaneous Magnetic Particle Imaging and Navigation of large superparamagnetic nanoparticles in bifurcation flow experimentsJun 18 2019Magnetic Particle Imaging (MPI) has been successfully used to visualize the distribution of superparamagnetic nanoparticles within 3D volumes with high sensitivity in real time. Since the magnetic field topology of MPI scanners is well suited for applying ... More
Fovea-Attentive Residual Network for Extracting 3D Angiograms from Single Volumetric OCT ScanJun 17 2019Optical Coherence Tomography Angiography (OCTA) has drawn numerous attentions in ophthalmology. However, its data acquisition is time-consuming, because it is based on temporal-decorrelation principle thus requires multiple repeated volumetric OCT scans. ... More
Adiabatic invariants drive rhythmic human motion in variable gravityJun 17 2019Natural human movements are stereotyped. They minimise cost functions that include energy, a natural candidate from mechanical and physiological points of view. In time-changing environments, however, motor strategies are modified since energy is no longer ... More
Tunable Magnetic Domain Walls for Therapeutic Neuromodulation at Cellular Level: Stimulating Neurons Through Magnetic NanowiresJun 16 2019Cellular-level neuron stimulation has attracted much attention in the areas of prevention, diagnosis and treatment of neurological disorders. Herein, we propose a spintronic neurostimulator based on the domain wall movement inside stationary magnetic ... More
Deep-Fill: Deep Learning Based Sinogram Domain Gap Filling in Positron Emission TomographyJun 16 2019One of the major challenges in design and developing of PET, scanners are the presence of inactive areas between the detector blocks which degrade the image spatial resolution and leads to streaking artifacts especially when we employ analytical image ... More
PET/CT Radiomic Sequencer for Prediction of EGFR and KRAS Mutation Status in NSCLC PatientsJun 15 2019The aim of this study was to develop radiomic models using PET/CT radiomic features with different machine learning approaches for finding best predictive epidermal growth factor receptor (EGFR) and Kirsten rat sarcoma viral oncogene (KRAS) mutation status. ... More
Perfusion and apparent oxygenation in the human placenta (PERFOX)Jun 14 2019Purpose: To study placental function - both perfusion and an oxygenation surrogate (T2*)-simultaneously and quantitatively in-vivo. Methods: 15 pregnant women were scanned on a 3T MR scanner. For perfusion measurements, a velocity selective arterial spin ... More
Dynamic PET cardiac and parametric image reconstruction: a fixed-point proximity gradient approach using patch-based DCT and tensor SVD regularizationJun 13 2019Our aim was to enhance visual quality and quantitative accuracy of dynamic positron emission tomography (PET)uptake images by improved image reconstruction, using sophisticated sparse penalty models that incorporate both 2D spatial+1D temporal (3DT) information. ... More
Musculoskeletal full-body models including a detailed thoracolumbar spine for children and adolescents aged 6 to 18 yearsJun 13 2019Currently available thoracolumbar spine models are entirely based on data from adults and might therefore not be applicable for simulations in children and adolescents. In addition, these models lack lower extremities, which are required for comprehensive ... More
All-optical nanoscale heating and thermometry with resonant dielectric nanoparticles for photoinduced tumor treatmentJun 13 2019All-dielectric nanophotonics becomes a versatile tool for various optical applications, including nanothermometry and optical heating. Its general concept includes excitation of Mie resonances in nonplasmonic nanoparticles. However, the potential of resonant ... More
Conversion Coefficients from Kerma to Ambient Dose and Personal Dose for X-Ray SpectraJun 12 2019In radiation protection, the protection quantity for whole-body exposure is effective dose $E$. Effective dose cannot be measured and operational quantities have been introduced for dose measurement and calibration of dosimeters and survey instruments. ... More
Core language brain network for fMRI-language task used in clinical applicationsJun 12 2019Functional magnetic resonance imaging (fMRI) is widely used in clinical applications to highlight brain areas involved in specific cognitive processes. Brain impairments, such as tumors, suppress the fMRI activation of the anatomical areas they invade ... More
Preparatory data analysis for the reconstruction of real-time MRI dataJun 12 2019Real-time magnetic resonance imaging (MRI) poses unique challenges related to the speed of data acquisition and to the degree of undersampling necessary to achieve this speed. This Master's thesis introduces and evaluates two pre-processing approaches ... More
Dual-energy CT imaging using a single-energy CT data is feasible via deep learningJun 12 2019In a standard computed tomography (CT) image, pixels having the same Hounsfield Units (HU) can correspond to different materials and it is, therefore, challenging to differentiate and quantify materials. Dual-energy CT (DECT) is desirable to differentiate ... More
Generating Pareto optimal dose distributions for radiation therapy treatment planningJun 11 2019Radiotherapy treatment planning currently requires many trail-and-error iterations between the planner and treatment planning system, as well as be-tween the planner and physician for discussion/consultation. The physician's preferences for a particular ... More
Evaluation of CT Image Synthesis Methods:From Atlas-based Registration to Deep LearningJun 11 2019Computed tomography (CT) is a widely used imaging modality for medical diagnosis and treatment. In electroencephalography (EEG), CT imaging is necessary for co-registering with magnetic resonance imaging (MRI) and for creating more accurate head models ... More
Iron Embedded Magnetic Nanodiamonds for in vivo MRI Contrast EnhancementJun 11 2019Although nanodiamonds have long being considered as a potential tool for biomedical research, the practical in vivo application of nanodiamonds remains relatively unexplored. In this paper, we present the first application of in vivo MRI contrast enhancement ... More
An Aristotelian view on MR-based attenuation correction (ARISTOMRAC): combining the four elementsJun 10 2019MR-based attenuation correction (MRAC) is important for accurate quantification of the uptake of PET tracers in combined PET/MR scanners. However, current techniques for MRAC usually require multiple acquisitions or complex post-processing to discriminate ... More
Multiparametric Deep Learning and Radiomics for Tumor Grading and Treatment Response Assessment of Brain Cancer: Preliminary ResultsJun 10 2019Radiomics is an exciting new area of texture research for extracting quantitative and morphological characteristics of pathological tissue. However, to date, only single images have been used for texture analysis. We have extended radiomic texture methods ... More
Characterizing atomic magnetic gradiometers for fetal magnetocardiographyJun 07 2019Atomic magnetometers (AMs) offer many advantages over superconducting quantum interference devices (SQUIDs) due to, among other things, having comparable sensitivity while not requiring cryogenics. One of the major limitations of AMs is the challenge ... More
Femoral fracture load and damage localisation pattern prediction based on a quasi-brittle law : linear and non-linear FE meshingJun 07 2019Finite element analysis is one of the most used tool for studying femoral neck fracture. Nerveless, consensus concerning either the choice of material characteristics, damage law and /or geometric models (linear on nonlinear) still remains unreached. ... More
Hierarchical Bayesian myocardial perfusion quantificationJun 06 2019Purpose: Tracer-kinetic models can be used for the quantitative assessment of contrast-enhanced MRI data. However, the model-fitting can produce unreliable results due to the limited data acquired and the high noise levels. Such problems are especially ... More
#neverforget - Photobiomodulation Against Alzheimer's Disease: A Systematic ReviewJun 06 2019Alzheimer's disease affects an ever-increasing number of people in the aging population. Current treatment options are limited to a narrow time frame at the mild to moderate stage of dementia, and patients are confronted with the inevitable progression ... More
Improved low-count quantitative PET reconstruction with a variational neural networkJun 05 2019Image reconstruction in low-count PET is particularly challenging because gammas from natural radioactivity in Lu-based crystals cause high random fractions that lower the measurement signal-to-noise-ratio (SNR). In model-based image reconstruction (MBIR), ... More
Rotation of a low-Reynolds-number watermill: theory and simulationsJun 05 2019Recent experiments have demonstrated that small-scale rotary devices installed in a microfluidic channel can be driven passively by the underlying flow alone without resorting to conventionally applied magnetic or electric fields. In this work, we conduct ... More
Clarification on Generalized Lau condition for X-ray interferometers based on dual phase gratingsJun 04 2019To implement dual phase grating x-ray interferometry with x-ray tubes, one needs to incorporate an absorbing source grating. In order to attain good fringe visibility, the period of a source grating should be subject to a stringent condition. In literature ... More
Quantifying allowable motion to achieve safe dose escalation in pancreatic SBRTJun 04 2019Tumor motion plays a key role in the safe delivery of Stereotactic Body Radiotherapy (SBRT) for pancreatic cancer. The purpose of this study was to use tumor motion data measured in patients to establish limits on motion magnitude for safe delivery of ... More
Development of a blood oxygenation phantom for photoacoustic tomography combined with online pO2 detection and flow spectrometryJun 04 2019Photoacoustic tomography (PAT) is intrinsically sensitive to blood oxygen saturation (sO2) in vivo. However, making accurate sO2 measurements without knowledge of tissue- and instrumentation-related correction factors is extremely challenging. We have ... More
Design and Experimental Validation of an Active Catheter for Endovascular NavigationJun 04 2019Endovascular technique has many advantages but relies strongly on operator skills and experience. Robotically steerable catheters have been developed but few are clinically available. We describe here the development of an active and efficient catheter ... More
Caesium fallout in Tokyo on 15th March, 2011 is dominated by highly radioactive, caesium-rich microparticlesJun 01 2019In order to understand the chemical properties and environmental impacts of low-solubility Cs-rich microparticles (CsMPs) derived from the FDNPP, the CsMPs collected from Tokyo were investigated at the atomic scale using high-resolution transmission electron ... More
Dynamical disentanglement in an analysis of oscillatory systems: an application to respiratory sinus arrhythmiaMay 31 2019We develop a technique for the multivariate data analysis of perturbed self-sustained oscillators. The approach is based on the reconstruction of the phase dynamics model from observations and on a subsequent exploration of this model. For the system, ... More
Custom Edge-Element FEM Solver and its Application to Eddy-Current Simulation of Realistic 2M-Element Human Brain PhantomMay 30 2019Extensive research papers of three-dimensional computational techniques are widely used for the investigation of human brain pathophysiology. Eddy current analyzing could provide an indication of conductivity change within a biological body. A significant ... More
Robust diffusion parametric mapping of motion-corrupted data with a three-dimensional convolutional neural networkMay 30 2019Head motion is inevitable in the acquisition of diffusion-weighted images, especially for certain motion-prone subjects and for data gathering of advanced diffusion models with prolonged scan times. Deficient accuracy of motion correction cause deterioration ... More
Multinuclear Absolute MR ThermometryMay 29 2019Non-invasive measurement of absolute temperature is important for proper characterization of various pathologies and for evaluation of thermal dose during interventional procedures. The proton magnetic resonance (MR) frequency shift method can be used ... More
Analysis of evoked EMG using wavelet transformationMay 29 2019Evoked EMG M-responses obtained from the thenar muscle in the palm by electrical stimulation of the median nerve demonstrate a well-established smooth bipolar shape for normal healthy subjects while kinks are observed in certain neurological disorders, ... More
Deep Quantitative Susceptibility Mapping for Background Field Removal and Total Field InversionMay 28 2019Quantitative susceptibility mapping (QSM) utilizes MRI signal phase to estimate local tissue susceptibility, which has been shown useful to provide novel image contrast and as biomarkers of abnormal tissue. QSM requires addressing a challenging post-processing ... More
In utero diffusion MRI: challenges, advances, and applicationsMay 28 2019In utero diffusion MRI provides unique opportunities to non-invasively study the microstructure of tissue during fetal development. A wide range of developmental processes, such as the growth of white matter tracts in the brain, the maturation of placental ... More
A High Count-Rate and Depth-of-Interaction Resolving MR-Compatible Single Layered One-Side Readout Pixelated Scintillator Crystal Array for PET ApplicationsMay 27 2019Organ-specific, targeted Field-of-View (FoV) Positron Emission Tomography (PET)/ Magnetic Resonance Imaging (MRI) inserts are viable solutions for a number of imaging tasks where whole-body PET/MRI systems lack the necessary sensitivity and resolution. ... More
Breast mass classification in ultrasound based on Kendall's shape manifoldMay 27 2019Morphological features play an important role in breast mass classification in sonography. While benign breast masses tend to have a well-defined ellipsoidal contour, shape of malignant breast masses is commonly ill-defined and highly variable. Various ... More
Low-dose ionizing radiation exposure during pregnancy induces behavioral impairment and lower weight gain in adult ratsMay 24 2019Low-dose ionizing radiation may induce far-reaching consequences in human, especially regarding intrauterine development. Many studies have documented that the risks of in utero irradiation remain controversial and no effect is reported at doses below ... More
A hybrid analytical-numerical algorithm for determining the neuronal current via EEGMay 23 2019In this study, the neuronal current in the brain is represented using Helmholtz decomposition. It was shown in earlier work that data obtained via electroencephalography (EEG) are affected only by the irrotational component of the current. The irrotational ... More
Accelerating MR Imaging via Deep Chambolle-Pock NetworkMay 23 2019Compressed sensing (CS) has been introduced to accelerate data acquisition in MR Imaging. However, CS-MRI methods suffer from detail loss with large acceleration and complicated parameter selection. To address the limitations of existing CS-MRI methods, ... More
Simple Muscle Architecture Analysis (SMA): an ImageJ macro tool to automate measurements in B-mode ultrasound scansMay 23 2019In vivo measurements of muscle architecture (i.e. the spatial arrangement of muscle fascicles) are routinely included in research and clinical settings to monitor muscle structure, function and plasticity. However, in most cases such measurements are ... More
Simple Muscle Architecture Analysis (SMA): an ImageJ macro tool to automate measurements in B-mode ultrasound scansMay 23 2019May 31 2019In vivo measurements of muscle architecture (i.e. the spatial arrangement of muscle fascicles) are routinely included in research and clinical settings to monitor muscle structure, function and plasticity. However, in most cases such measurements are ... More