A5051113261- Electrical and Bioimpedance Tomography
- Flow Measurement and Analysis
- Non-Destructive Testing Techniques
- Geophysical and Geoelectrical Methods
- Medical Image Segmentation Techniques
- Cardiac Valve Diseases and Treatments
- Epigenetics and DNA Methylation
- Glioma Diagnosis and Treatment
- CCD and CMOS Imaging Sensors
- Microwave Imaging and Scattering Analysis
- Vibration and Dynamic Analysis
- Fluid Dynamics and Vibration Analysis
- Image Processing Techniques and Applications
- Image and Object Detection Techniques
- Medical Imaging and Analysis
- Radiative Heat Transfer Studies
- Infrared Target Detection Methodologies
- Advanced Neural Network Applications
- Histone Deacetylase Inhibitors Research
- Hedgehog Signaling Pathway Studies
- Cancer Genomics and Diagnostics
- Wave and Wind Energy Systems
- Genetic factors in colorectal cancer
- Numerical methods in inverse problems
- Lung Cancer Treatments and Mutations
National Yang Ming Chiao Tung University
2014-2019
Centre Hospitalier Universitaire de Poitiers
2019
Université de Strasbourg
2018
Centre National de la Recherche Scientifique
2010-2018
Bureau Veritas (France)
2017
Université de Poitiers
2012
Translational Innovation in Medicine and Complexity
2006
Purpose: The authors present a fully automatic algorithm for the segmentation of prostate in three-dimensional magnetic resonance (MR) images. Methods: approach requires use an anatomical atlas which is built by computing transformation fields mapping set manually segmented images to common reference. These are then applied structures training order get probabilistic map on atlas. realized through two stage procedure. In first stage, processed image registered Subsequently, aprobabilistic...
Electrical impedance tomography (EIT) is an imaging technology that offers the advantages of being noninvasive, and it does not generate ionizing radiation. The main difficulty in applying EIT to solve ill-posed nonlinear inverse problem. Given a set electrical voltages measured at surface volume conductor, goal identify materials are present domain by determining their conductivities. However, since problem, various algorithms proposed literature can only approximate real conductivity...
Electrical impedance tomography is a modern biomedical imaging method. Its goal to image the electrical properties of human tissues. This approach safe for patient's health, non-invasive and has no known hazards. However, suffers from low accuracy. Linear inverse solvers are commonly used in medical applications, as they strongly robust noise. linear methods can give only an approximation solution that corresponds perturbation initial estimate. paper proposes novel reconstruction process....
Glioblastoma (GBM) is the most malignant type of primary brain tumor with a very poor prognosis. The actual standard protocol treatment for GBM patients consists radiotherapy and concomitant temozolomide (TMZ). However, therapeutic efficacy this limited due to recurrence TMZ resistance. Recently isolated, glioma stem-like cells (GSCs) are thought represent population tumorigenic responsible resistance following surgery chemotherapy. In addition, MGMT (O6-methylguanine-methyltransferase)...
Abstract Recent data suggest that inhibition of the Hedgehog pathway could be a therapeutic target for glioblastoma. Alkaloid cyclopamine inhibits signaling, depleting stem-like cancer cells derived from However, this compound is toxic somatic stem cells, preventing its use clinical applications. In study, we tested derivatization product in form glucuronide prodrug (CGP-2). This was used vitro and vivo toward glioblastoma-initiating (GIC). Results obtained indicate CGP-2 active only...
Objective Electrical Impedance Tomography (EIT) is a powerful non-invasive technique for imaging applications. The goal to estimate the electrical properties of living tissues by measuring potential at boundary domain. Being safe with respect patient health, non-invasive, and having no known hazards, EIT an attractive promising technology. However, it suffers from particular technical difficulty, which consists solving nonlinear inverse problem in real time. Several approaches have been...
The goal in electrical impedance tomography is to obtain the properties of different materials by applying an current and measuring resulting potential difference at boundaries domain. While numerical accuracy technically limited size elements within finite-element (FE) mesh, using a fine mesh will result computationally demanding reconstruction, especially when region interest (ROI) not known. However, this situation location known, one can easily refine FE model around target, aiming for...
Abstract Introduction ALK and ROS1 rearrangements are molecular targets of several tyrosine kinase inhibitors. RNA‐sequencing approaches regarded as the new standard for fusion gene detection, representing an alternative to immunohistochemistry (IHC) fluorescence in situ hybridization (FISH) techniques. Patients Methods We aimed compare two recent amplicon‐based techniques: FusionPlex ® Alk Ret Ros1 v2 Kit (Archer ) with FHS‐003Z‐12—Human Lung Cancer Panel (Qiagen assessed accuracy data...
Electrical impedance tomography (EIT) is a non-invasive imaging technique. The main task of this work to solve non-linear inverse problem, for which several techniques have been suggested, but none gives very high degree accuracy. This paper introduces novel approach, based on radial basis function (RBF) artificial neural networks (ANNs), and uses ANNs obtain the best solution EIT problem. potential directly estimate problem with While different do not always perform well problems, they...
Electrical impedance tomography (EIT) is a patient-safe approach for imaging applications and promising technology biomedical imaging. By applying small electrical current to living tissue measuring the potential at different points of tissue's boundary, it possible solve inverse problem generate map conductivities. Although method, reconstruction process remains complicated task, real-time nonlinear image algorithms have not yet been widely adopted. Recent studies proposed use artificial...
This paper presents a semi-automatic method for the segmentation and tracking of mitral valve leaflet in transesophageal echocardiography. We use two connected active contours order to track efficiently leaflet. Segmentation very fast non rigid motions involved are realized steps. In first step we transformation fitting provide rough that will be refined second using snakes with dynamic programming minimization. The successfully tracks inner cardiac muscle axis
A CMOS burst image sensor reaching 5Mfps with 52 frames in-pixel digital memory has been designed and tested. It fully takes advantage of 3D stacked technology to implement a scalable architecture for 8-bits quantization data storage at pixel level in technology. This imager also benefits from backside illumination (BSI) improved fill factor wide spectrum sensitivity. demonstrator fabricated, embedding two types based pixel. In this paper we present the very first experimental test results...
Inverse boundary problem are usually solved with a finite element model, either limited accuracy or huge computation resources. Using fine mesh results in computationally demanding task, but when the region of interest is known, one can easily locally refine aiming for greater local accuracy. In this paper, novel approach uses artificial neural network to estimate location and before solving inverse problem. The idea illustrated by electrical impedance tomography Result shows that proposed...