Tunable High-Pressure Infrared Lasers

Jaeger, T.; Wang, Gunnar

doi:10.1007/978-3-662-10635-8_8

Cited by 5 publications

(1 citation statement)

References 63 publications

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“…The developed model was applied to volumetric angiographic data taken in FhG-IGD, 18 which had been reconstructed from a sequence of 2-D X-ray angiographic projection acquired from different viewing angles under routine clinical conditions. X-ray angiographic images are regarded as the most reliable and accurate images for cardiac diagnosis by medical doctors because they have advantages on temporal and spatial resolution as compared to ultra-fast CT and ECG-synchronized MRI.…”

Section: Resultsmentioning

confidence: 99%

Motion visualization of human left ventricle with a time‐varying deformable model for cardiac diagnosis

Choi¹,

Kim²

2001

J. Visual. Comput. Animat.

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We present a time-varying deformable model to visualize and analyze the motion of the left ventricle from a time series of 3-D images. The model is composed of a non-rigid body that deforms around a reference shape obtained from the previous time step. At each time step, the position and orientation of the left ventricle are extracted from the feature points of images. This information gives the position and orientation of the coordinate system attached to the non-rigid body. To compute a dense non-rigid motion field over the entire endocardial wall of the left ventricle, we introduce a 3-D blob finite element and Galerkin interpolants based on 3-D Gaussian, and use a physically based finite element method and a modal analysis. Then, cinematic attributes are visualized in pseudo colors on the reconstructed surface in order to help medical doctors in their interpretation of the data. Using the presented model, we estimate clinically useful quantitative parameters such as regional wall motion and ejection fraction. Experimental results are shown in a time series of X-ray angiographic images.

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Section: Resultsmentioning

confidence: 99%

Motion visualization of human left ventricle with a time‐varying deformable model for cardiac diagnosis

Choi¹,

Kim²

2001

J. Visual. Comput. Animat.

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InfraredLIDARApplications in Atmospheric Monitoring

Orr

2000

Encyclopedia of Analytical Chemistry

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The acronym LIDAR stands for light detection and ranging, an optical analog of RADAR (radio detection and ranging). The conventional version of LIDAR requires a laser transmitter to launch short pulses of coherent light, which are scattered from atmospheric targets of interest back to an optical receiver, with a time delay that is determined by the range of the target. Optical phenomena in the Earth's atmosphere (e.g. Rayleigh scattering, Raman scattering, Mie scattering, refraction, and resonant absorption) contribute to the amplitude of optical signals returning to the receiver and their characteristic wavelength dependence allows us to measure the concentration and velocity distributions of different atmospheric molecules and aerosol particles. LIDAR backscattering in the infrared (IR) region, on which this article concentrates, is well suited to detecting aerosols (as in clouds or industrial particulate emissions). IR DIAL (differential absorption LIDAR), a variant in which two wavelengths are used simultaneously to separate resonant molecular signals from background, enables most molecular species to be monitored by means of their IR absorption spectra. A closely related approach comprises long‐path IR laser absorption, with retro‐reflection from a topographic target (e.g. a strategically located mirror); this sacrifices optical range information but gains sensitivity because it integrates over all molecules in the optical column between the transmitter/receiver and the reflector. Such techniques are vitally dependent on pulsed IR laser technology.

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InfraredLIDARApplications in Atmospheric Monitoring

Orr

2017

Encyclopedia of Analytical Chemistry

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The acronym LIDAR stands for LIght Detection And Ranging, an optical analog of RADAR (RAdio Detection And Ranging). The conventional version of LIDAR requires a laser transmitter to launch short pulses of coherent light, which are scattered from atmospheric targets of interest back to an optical receiver, with a time delay that is determined by the range of the target. Optical phenomena in the Earth's atmosphere (e.g. Rayleigh scattering, Raman scattering, Mie scattering, refraction, and resonant absorption) contribute to the amplitude of optical signals returning to the receiver and their characteristic wavelength dependence allows us to measure the concentration and velocity distributions of different atmospheric molecules and aerosol particles. LIDAR backscattering in the infrared (IR) region, on which this article concentrates, is well suited to detecting aerosols (as in clouds or industrial particulate emissions). IR DIAL (DIfferential Absorption Lidar), a variant in which two or more wavelengths are used simultaneously to separate resonant molecular signals from background, enables many molecular species to be monitored by means of their IR absorption spectra. Closely related approaches comprise long‐path IR laser absorption and IPDA (Integrated Path Differential Absorption), with retroreflection from a topographic target (e.g. a strategically located mirror or a hard target, such as the ground in air‐borne applications); these approaches sacrifice optical range information but gain sensitivity because they integrate over all molecules in the optical column between the transmitter/receiver and the reflector or hard target. All of these techniques are vitally dependent on pulsed IR laser technology.

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Tunable High-Pressure Infrared Lasers

Cited by 5 publications

References 63 publications

Motion visualization of human left ventricle with a time‐varying deformable model for cardiac diagnosis

Motion visualization of human left ventricle with a time‐varying deformable model for cardiac diagnosis

InfraredLIDARApplications in Atmospheric Monitoring

InfraredLIDARApplications in Atmospheric Monitoring

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