A5059901229- Medical Imaging Techniques and Applications
- Cell Image Analysis Techniques
- Advanced X-ray and CT Imaging
- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
- Image Processing Techniques and Applications
- 3D Printing in Biomedical Research
- AI in cancer detection
- 3D Shape Modeling and Analysis
- Solid State Laser Technologies
- Medical Image Segmentation Techniques
- Lung Cancer Diagnosis and Treatment
- Scientific Computing and Data Management
- Glass properties and applications
- Photorefractive and Nonlinear Optics
- Advanced MRI Techniques and Applications
- Machine Learning in Materials Science
- Digital Radiography and Breast Imaging
- MRI in cancer diagnosis
- Advanced Radiotherapy Techniques
- Pluripotent Stem Cells Research
- Digital Imaging for Blood Diseases
- Photonic Crystal and Fiber Optics
- Advanced X-ray Imaging Techniques
- Spacecraft and Cryogenic Technologies
National Institute of Standards and Technology
2011-2024
Information Technology Laboratory
2011-2024
National Institute of Standards
2000-2018
Physical Measurement Laboratory
2016
Duke University
2015
University of Maryland, Baltimore
2012
University of Maryland, College Park
2012
Duke Medical Center
2012
University of Maryland, Baltimore County
2012
Colorado School of Mines
2011
Purpose To develop and validate a metric of computed tomographic (CT) image quality that incorporates the noise texture resolution properties an image. Materials Methods Images American College Radiology CT assurance phantom were acquired by using three commercial systems at seven dose levels with filtered back projection (FBP) iterative reconstruction (IR). Image was characterized contrast-to-noise ratio (CNR) detectability index (dʹ) incorporated spatial resolution. The measured CNR dʹ...
The analysis of fluorescence microscopy cells often requires the determination cell edges. This is typically done using segmentation techniques that separate objects in an image from surrounding background. study compares results nine different applied to two lines and five sets imaging conditions. Significant variability was observed due solely differences conditions or applications algorithms. We quantified compared with a novel bivariate similarity index metric evaluates degree...
Many cell lines currently used in medical research, such as cancer cells or stem cells, grow confluent sheets colonies. The biology of individual provide valuable information, thus the separation touching these microscopy images is critical for counting, identification and measurement cells. Over-segmentation single continues to be a major problem methods based on morphological watershed due high level noise images. There need new segmentation method that robust over wide variety biological...
The goal of this survey paper is to overview cellular measurements using optical microscopy imaging followed by automated image segmentation. primary interest are taken from mammalian cells and their components. They denoted as two- or three-dimensional (2D 3D) objects biological interest. In our applications, such important for understanding cell phenomena, counts, cell-scaffold interactions, colony growth rates, pluripotency stability, well establishing quality metrics stem therapies....
New microscopy technologies are enabling image acquisition of terabyte-sized data sets consisting hundreds thousands images. In order to retrieve and analyze the biological information in these large sets, segmentation is needed detect regions containing cells or cell colonies. Our work with images (each 21,000×21,000 pixels) requires a method that: (1) yields high accuracy, (2) applicable multiple lines various densities colonies, several imaging modalities, (3) can process timely manner,...
To compare image resolution from iterative reconstruction with filtered back projection for low-contrast objects on phantom computed tomographic (CT) images across vendors and exposure levels.Randomized repeat scans of an American College Radiology CT accreditation (module 2, low contrast) were performed multiple radiation exposures, vendors, vendor algorithms. Eleven volunteers presented 900 by using a custom-designed graphical user interface to perform task created specifically this reader...
Purpose To assess the ability of a recent, anatomically designed breast phantom incorporating T 1 and diffusion elements to serve as quality control device for quantitative comparison apparent coefficient (ADC) measurements calculated from diffusion‐weighted MRI (DWI) within across systems. Materials Methods A bilateral multiple tissue mimics geometric distortion array was imaged with DWI on 1.5 Tesla (T) 3.0T scanners two different manufacturers, using three coils (three configurations...
To facilitate the characterization of unlabeled induced pluripotent stem cells (iPSCs) during culture and expansion, we developed an AI pipeline for nuclear segmentation mitosis detection from phase contrast images individual within iPSC colonies. The analysis uses a 2D convolutional neural network (U-Net) plus 3D U-Net applied on time lapse to detect segment nuclei, mitotic events, daughter nuclei enable tracking large numbers over long times in culture. fluorescence data train models...
We investigated an Er(3+)/Yb(3+) codoped silicate glass as a host material for waveguide lasers operating near 1.5 microm. Spectroscopic properties of the are reported. Waveguide were fabricated by K(+)-ion exchange from nitrate melt. The waveguides support single transverse mode at An investigation laser performance function Yb:Er ratio was performed, indicating optimal approximately 5:1. Slope efficiencies great 6.5% and output powers high 19.6 mW 1.54 microm realized. experimental results...
This paper describes a set of tools for performing measurements objects in virtual reality based immersive visualization environment. These enable the use environment as an instrument extracting quantitative information from data representations that hitherto had be used solely qualitative examination. We provide, within environment, ways user to analyze and interact with generated. describe results generated by these methods obtain dimensional descriptors tissue engineered medical products....
Summary We present a new method for segmenting phase contrast images of NIH 3T3 fibroblast cells that is accurate even when are physically in contact with each other. The problem segmentation, contact, poses challenge to the automation cell counting, tracking and lineage modelling biology. segmentation presented this paper consists (1) background reconstruction obtain noise‐free foreground pixels (2) incorporation biological insight about dividing nondividing into process achieve reliable...
Fundamental limits for the calculation of scattering corrections within X-ray computed tomography (CT) are found independent atom approximation from an analysis cross sections, CT geometry, and Nyquist sampling theorem, suggesting large reductions in computational time compared to existing methods. By modifying scatter by less than 1 %, it is possible treat some elastic forward direction as inelastic achieve a smoother distribution. We present showing that number samples required...
This is the second in a series of articles describing wide variety projects at NIST that synergistically combine physical science and information science. It describes, through examples, how Scientific Applications Visualization Group (SAVG) has utilized high performance parallel computing, visualization, machine learning to accelerate research. The examples include scientific collaborations following areas: (1) High Precision Energies for few electron atomic systems, (2) Flows suspensions,...
The authors characterized a commercially available foam composed of polyurethane and polyisocyanurate which is marketed for modeling parts in the aircraft, automotive, related industries. found that may be suitable use as density reference standard range below Hounsfield units. This coincident with lung tissue. helpful making diagnosis disease more systematic.
Purpose: The authors investigate the extent to which Response Evaluation Criteria in Solid Tumors (RECIST) can predict tumor volumes ideal geometric settings and using clinical data. Methods: consider a hierarchy of models including uniaxial ellipsoids, general composites both analytical numerical techniques show how well RECIST each case. have certain features that are compared Results: principal conclusion is change reported value needs be factor at least 1.2 achieve 95% confidence one...
We describe a method for calibrating an electromagnetic motion tracking device. Algorithms correcting both location and orientation data are presented. In particular, we use interpolating rotation corrections that has not previously been used in this context. This method, unlike previous methods, is rooted the geometry of space rotations. interpolation conjunction with Delaunay tetrahedralization to enable correction based on scattered samples. present measurements support assumption neither...