Robust Myelin Quantitative Imaging from Multi-echo T2 MRI Using Edge Preserving Spatial Priors

2013 ◽  
pp. 622-630 ◽  
Author(s):  
Xiaobo Shen ◽  
Thanh D. Nguyen ◽  
Susan A. Gauthier ◽  
Ashish Raj
Keyword(s):  
Quantitative Imaging ◽  
Edge Preserving ◽  
T2 Mri

Fluorescent potentiometric dyes for membrane-potential imaging

1994 ◽  
Vol 52 ◽  
pp. 166-167
Author(s):  
Leslie M. Loew
Keyword(s):  
Membrane Potential ◽  
Single Cells ◽  
Quantitative Imaging ◽  
Optical Recording ◽  
Biological Processes ◽  
Major Focus ◽  
The Past ◽  
Excitable Systems ◽  
Major Application ◽  
The Impact

A major application of potentiometric dyes has been the multisite optical recording of electrical activity in excitable systems. After being championed by L.B. Cohen and his colleagues for the past 20 years, the impact of this technology is rapidly being felt and is spreading to an increasing number of neuroscience laboratories. A second class of experiments involves using dyes to image membrane potential distributions in single cells by digital imaging microscopy - a major focus of this lab. These studies usually do not require the temporal resolution of multisite optical recording, being primarily focussed on slow cell biological processes, and therefore can achieve much higher spatial resolution. We have developed 2 methods for quantitative imaging of membrane potential. One method uses dual wavelength imaging of membrane-staining dyes and the other uses quantitative 3D imaging of a fluorescent lipophilic cation; the dyes used in each case were synthesized for this purpose in this laboratory.

Do we need Quantitative Imaging?

2020 ◽  
Vol 59 (03) ◽  
pp. 225-226 ◽  
Author(s):  
Janet F. Eary ◽  
Winfried Brenner
Keyword(s):  
Quantitative Imaging

Quantitative Imaging of Angiogenesis in Defect Femoral Fracture Healing using 3D Micro- and Nano-CT

2011 ◽  
Vol 183 (S 01) ◽  
Author(s):  
AC Langheinrich ◽  
D Kögelmaier ◽  
K Lips ◽  
V Witt ◽  
S Pacholke ◽  
...  
Keyword(s):  
Fracture Healing ◽  
Femoral Fracture ◽  
Quantitative Imaging

Was unterscheidet die Subtypen der Creutzfeldt-Jakob-Krankheit von anderen Demenzen mit initialen psychiatrischen Auffälligkeiten?

2003 ◽  
Vol 01 (01) ◽  
pp. 24-29
Author(s):  
H. Wormstall ◽  
M. Bartels ◽  
G.W. Eschweiler
Keyword(s):  
Tau Protein ◽  
Fur Protein ◽  
T2 Mri ◽  
Codon 129

ZusammenfassungSeit dem Nachweis boviner spongiformer Enzephalopathie (BSE) unter Rindern in Deutschland im November 2000 ist die Gefahr, an der neuen Variante der Creutzfeld-Jakob-Krankheit (vCJD) zu erkranken, auch hierzulande größer geworden. Diese Übersicht schildert die Differenzialdiagnostik von Demenzerkrankungen mit initialen psychiatrischen Auffälligkeiten im jüngeren und höheren Alter. Besonderer Wert wird auf die Unterschiede zwischen der sporadischen Creutzfeld-Jakob-Krankheit (sCJD) und der vCJD gelegt. Neben den klinischen und initial meist psychiatrisch geprägten Verläufen werden neuere laborchemische, molekulargenetische und neuroradiologische Aspekte dieser beiden Prionkrankheiten dargestellt. Der Liquor ist in den meisten Fällen positiv für Protein 14-3-3, Tau-Protein und Neuron-spezifische Enolase (NSE). Nur bei bestimmten molekulargenetisch am Codon 129 des Prionproteins determinierten Subgruppen der sCJD-Patienten, nicht aber bei vCJD-Patienten, finden sich im EEG periodische scharfe Wellen. In der Frühdiagnostik der sCJD kann vor allem die diffusionsgewichtete MRI eingesetzt werden. Bei den jüngeren vCJD-Patienten findet man neben den psychiatrischen Symptomen Parästhesien, erst später eine Demenz und Ataxie von mehr als 6 Monaten Dauer sowie T2-MRI-Signalhyperintensitäten im Pulvinar. Als weitere Differenzialdiagnosen der verschiedenen CJD-Subtypen wird auch die wenig bekannte Hashimoto-Enzephalopathie näher beschrieben.

Semiconductor Quantum Dots for Multicolor Fluorescence Imaging and Spectroscopy of Single Cancer Cells

2003 ◽  
Vol 773 ◽  
Author(s):  
Xiaohu Gao ◽  
Shuming Nie ◽  
Wallace H. Coulter
Keyword(s):  
Quantum Dots ◽  
Cancer Cells ◽  
Fluorescence Imaging ◽  
Organic Dyes ◽  
Fluorescent Proteins ◽  
Single Cells ◽  
Quantitative Imaging ◽  
Semiconductor Quantum Dots ◽  
Single Cancer ◽  
Imaging And Spectroscopy

AbstractLuminescent quantum dots (QDs) are emerging as a new class of biological labels with unique properties and applications that are not available from traditional organic dyes and fluorescent proteins. Here we report new developments in using semiconductor quantum dots for quantitative imaging and spectroscopy of single cancer cells. We show that both live and fixed cells can be labeled with multicolor QDs, and that single cells can be analyzed by fluorescence imaging and wavelength-resolved spectroscopy. These results raise new possibilities in cancer imaging, molecular profiling, and disease staging.

Edge-Preserving Error Diffusion for Multi-Toning Based on Dual Quantization

2017 ◽  
Vol 2017 (18) ◽  
pp. 123-129
Author(s):  
Takuma Kiyotomo ◽  
Keisuke Hoshino ◽  
Yuki Tsukano ◽  
Hiroki Kibushi ◽  
Takahiko Horiuchi
Keyword(s):  
Error Diffusion ◽  
Edge Preserving

Edge-preserving total variation regularization for dual-energy CT images

2019 ◽  
Vol 2019 (13) ◽  
pp. 147-1-147-8
Author(s):  
Sandamali Devadithya ◽  
David Castañóon
Keyword(s):  
Total Variation ◽  
Ct Images ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Total Variation Regularization ◽  
Edge Preserving

Material Identification in Presence of Metal for Baggage Screening

2020 ◽  
Vol 2020 (14) ◽  
pp. 294-1-294-8
Author(s):  
Sandamali Devadithya ◽  
David Castañón
Keyword(s):  
Atomic Number ◽  
Effective Atomic Number ◽  
Simulated Data ◽  
Dual Energy ◽  
Basis Functions ◽  
Total Variation Regularization ◽  
Ct Scanner ◽  
Edge Preserving ◽  
Baggage Screening ◽  
Dual Energy Imaging

Dual-energy imaging has emerged as a superior way to recognize materials in X-ray computed tomography. To estimate material properties such as effective atomic number and density, one often generates images in terms of basis functions. This requires decomposition of the dual-energy sinograms into basis sinograms, and subsequently reconstructing the basis images. However, the presence of metal can distort the reconstructed images. In this paper we investigate how photoelectric and Compton basis functions, and synthesized monochromatic basis (SMB) functions behave in the presence of metal and its effect on estimation of effective atomic number and density. Our results indicate that SMB functions, along with edge-preserving total variation regularization, show promise for improved material estimation in the presence of metal. The results are demonstrated using both simulated data as well as data collected from a dualenergy medical CT scanner.

Pre-Processing of Hyperspectral Images Using Nonlinear Filters

2013 ◽  
Vol 11 (1) ◽  
pp. 8-13
Author(s):  
V. Behar ◽  
V. Bogdanova
Keyword(s):  
Signal To Noise Ratio ◽  
Correlation Coefficients ◽  
Hyperspectral Images ◽  
Spectral Correlation ◽  
Edge Preserving ◽  
Improvement Factor ◽  
Filter Output ◽  
Average Improvement ◽  
Processing Procedure

Abstract In this paper the use of a set of nonlinear edge-preserving filters is proposed as a pre-processing stage with the purpose to improve the quality of hyperspectral images before object detection. The capability of each nonlinear filter to improve images, corrupted by spatially and spectrally correlated Gaussian noise, is evaluated in terms of the average Improvement factor in the Peak Signal to Noise Ratio (IPSNR), estimated at the filter output. The simulation results demonstrate that this pre-processing procedure is efficient only in case the spatial and spectral correlation coefficients of noise do not exceed the value of 0.6

Sign in / Sign up

Export Citation Format

Share Document