The advent of semiconductor devices with nanoscale dimensions creates the potential to integrate nanoelectronics and optoelectronic devices with a great variety of biological systems. Moreover, the advances in nanotec...
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Contrast values estimated from temporal statistics is used for Laser Speckle Contrast Analysis (LASCA) of cortical blood flow and perfusion. Using temporal statistics, we are able to reliably estimate the blood flow a...
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This course presents the state of the art in multiple-view geometry, including methods and algorithms for reconstructing 3-D geometric models of scenes from video or photographs. This course is based on a novel approa...
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ISBN:
(纸本)9781450378017
This course presents the state of the art in multiple-view geometry, including methods and algorithms for reconstructing 3-D geometric models of scenes from video or photographs. This course is based on a novel approach to multiple-view geometry that only requires linear algebra, as opposed to more involved projective and algebraic geometry that most current methods employ. This new approach aims to make image-based modeling techniques accessible to a larger audience compared to existing ones. The presentations will be based on a recent Springer-Verlag textbook on 3D vision (coauthored by the course organizers). Matlab code for the algorithms will be made available at the book website.
One of the major drivers for developing integrated navigation systems is the vision to provide first responders and healthcare providers, critical information where and when they need it. These integrated wireless dev...
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One of the major drivers for developing integrated navigation systems is the vision to provide first responders and healthcare providers, critical information where and when they need it. These integrated wireless devices of the future will assist the user with communications and incident management operations in the field in real time. The most important piece of such a system is clearly a ability to track and locate these wireless devices with high precision in a high-multipath environment. A previous paper presented a novel method for precise geolocation in indoor environments using an orthogonal frequency domain multiplexed (OFDM) signal consisting of many sinusoidal sub-carriers. Unlike the ultra wideband signals that are often proposed for performing precision location in high multipath environments, the proposed signal structure is easily adapted to conform to existing spectral allocations. Further, the signal structure is capable of being used in coded orthogonal frequency domain multiplexing (COFDM) systems for supporting communications and navigation concurrently on the same radio channel. This technique is also well suited for use on ad hoc wireless networks, allowing the precision location of wireless nodes with respect to one another. This OFDM-based technique was first demonstrated using audio frequency signals rather than RF signals and is currently being implemented at RF. The focus of this paper is the design and performance evaluation of the RF front end receiver structure being developed for precision location system using this multi-carrier technique. The effect on the precision of the location estimate due to RF receiver design imperfections will be assessed and design issues for future receiver design improvements will be reviewed.
Contrast values estimated from temporal statistics is used for laser speckle contrast analysis (LASCA) of cortical blood flow and perfusion. Using temporal statistics, we are able to reliably estimate the blood flow a...
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Contrast values estimated from temporal statistics is used for laser speckle contrast analysis (LASCA) of cortical blood flow and perfusion. Using temporal statistics, we are able to reliably estimate the blood flow and perfusion by processing only a selected number of pixels from the raw speckle images. For the number of frames (N > 6) for estimating the temporal contrast, the root mean square (RMS) of the inverse decorrelation time (/spl tau//sub c/) is found to be relatively constant with a variance of /spl plusmn/ 3.52%. For a given window size used for estimation of /spl tau//sub c/, it is observed that the RMS of 1/(/spl tau//sub c/ values exhibit a low variance of /spl plusmn/ 4.62% as compared to spatially derived contrasts (SDC) with/without averaging. For a given reduction in binning size, the image processing using the temporally derived contrasts (TDC) is found to be 1.41 times faster as compared to obtained using SDC.
The threshold of the absorption spectra of colloidal cadmium sulfide (CdS) quantum dots in electrolytic solutions is shown to shift as the concentration of the electrolyte is varied. The shift in the absorption thresh...
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ISBN:
(纸本)0780386493
The threshold of the absorption spectra of colloidal cadmium sulfide (CdS) quantum dots in electrolytic solutions is shown to shift as the concentration of the electrolyte is varied. The shift in the absorption threshold as a function of the electrolytic concentration is given by electrolytic screening of the field caused by the intrinsic spontaneous polarization of these wurtzite quantum dots. These electrolyte-dependent absorption properties will be compared with Fermi-level tuning in carbon nanotubes in electrolytic environments. Moreover, concepts for integrating such colloidal quantum dots in high density networks with biomolecular links will be discussed. MAS is grateful for the support and guidance of Dr. Dwight Woolard of the ARO, and MD gratefully acknowledges the support of NSF and SRC. Copyright 2004 IEEE.
Automatic and accurate multi-modality (CT/MRI) image registration is an important part of image guided surgery, pre-surgery planning and post-surgery evaluation. Surface based registration is commonly used for registr...
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Automatic and accurate multi-modality (CT/MRI) image registration is an important part of image guided surgery, pre-surgery planning and post-surgery evaluation. Surface based registration is commonly used for registration of CT and MRI images of bone. Surface extraction from CT and MRI datasets is a pre-requisite for the registration. It is known that it is not possible to achieve fully automatic, accurate and complete segmentation of the spine from MRI dataset. Thus surface based registration for CT-MRI spine datasets cannot be fully automated. In this paper, we investigate the use of normalized mutual information as a method for fully automatic and accurate registration of CT-MRI spine datasets. We have compared the registration results with those from the surface based registration. Our results are promising and show that normalized mutual information can be used to implement fully automatic and accurate registration for CT and MRI images of the spine.
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