This paper presents a new method for reconstructing anatomy-based, animatable facial models with minimal manual intervention. The technique is based on deforming a multi-layered prototype model to the acquired surface...
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The high resolution research tomography (HRRT) is currently the most complex human brain scanner due to its ability to detect the gamma depth of interaction, its octagonal geometry, and the large number of crystals (1...
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ISBN:
(纸本)0780392213
The high resolution research tomography (HRRT) is currently the most complex human brain scanner due to its ability to detect the gamma depth of interaction, its octagonal geometry, and the large number of crystals (119,808) leading to approximately 4.5 x 10(9) possible lines of response (LORs). reconstruction of dynamic studies on this scanner is particularly challenging due to the dynamic range of both, number of acquired events per frame and acquisition count rates. Some artifacts have been observed with phantom studies: here we evaluate their impact on time activity curves (TACs) and binding potential (BP) values in realistic scanning situations with the ultimate goal of defining an efficient and accurate imagereconstruction protocol. Non-human primate studies were used for this purpose. We compared TACs and BPs obtained fromimages reconstructed with three different reconstruction algorithms, two different axial spanning configurations and detector normalization factors obtained from two different data sets. We also compared BP values obtained from scans of the same animal performed on the Siemens ECAT 963B and the HRRT under identical conditions. The statistical reconstruction methods produced nearly identical results and the impact of emission/normalization count rate mismatch was found to be effectively negligible. Likewise no image degradation due to increased axial spanning was observed. data obtained from the analytical method were less robust and in general much more sensitive to noise, thus demonstrating a suboptimal performance of this algorithm. The BP values obtained with the HRRT were by approximately 50% higher compared to those obtained in the ECAT as a result of the increased resolution of this tomograph.
In this paper, we propose a panoramic mesh modeling method from multiple range data for indoor scene reconstruction. The input to the proposed method is several sets of point clouds obtained from different viewpoints....
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ISBN:
(纸本)3540300406
In this paper, we propose a panoramic mesh modeling method from multiple range data for indoor scene reconstruction. The input to the proposed method is several sets of point clouds obtained from different viewpoints. An integrated mesh model is generated from the input point clouds. Firstly, we partition the input point cloud to sub-point clouds according to each camera's viewing frustum. Then, we sample the partitioned sub-point clouds adaptively and triangulate the sampled point cloud. Finally, we merge all triangulated models of sub-point clouds to represent the whole indoor scene as one model. Our method considers occlusion between two adjacent views and it filters out invisible part of point cloud without any prior knowledge. While preserving the features of the scene, adaptive sampling reduces the size of resulting mesh model for practical usage. The proposed method is modularized and applicable to the other modeling applications which handle multiple range data.
We report on the further development of our previously described spectroscopic imaging technique based on time-resolved interferometric measurements of laser-induced thermoelastic expansion (POlSe: Pulsed Optoelastic ...
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ISBN:
(纸本)0819456713
We report on the further development of our previously described spectroscopic imaging technique based on time-resolved interferometric measurements of laser-induced thermoelastic expansion (POlSe: Pulsed Optoelastic Interferometric Spectroscopy and Imaging). We show the capability of POISe to form tomographic images of tissue phantoms and live animal tissues. By performing imagereconstruction on data sets acquired from several tissue-like phantoms we demonstrate the ability of POISe to provide better than 200 mu m spatial resolution in a strongly scattering medium (mu(I)(s)=1.5/mm). Additionally we demonstrate the ability of POISe to image chicken chorio-allantoic membrane (CAM) blood vessels through a 6-10 mm layer of Intralipid with mu(I)(s)=0.75/mm.
We present our results on development of algorithms for imagereconstruction in optical computed-tomography microscopy. The optical computed-tomography microscope with light modulation, recently developed by our group...
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ISBN:
(纸本)0819457213
We present our results on development of algorithms for imagereconstruction in optical computed-tomography microscopy. The optical computed-tomography microscope with light modulation, recently developed by our group at the BC Cancer Research Centre is a novel imaging device for three-dimensional visualization and quantitative analysis of absorption-stained biological samples. The angles for projection in the system are limited to the range of 0 <= phi <= 135 degrees by the numerical aperture of the illumination objective. For the limited-angle tomography problem we have developed several reconstruction algorithms. One algorithm is based on the Radon transformation and assumes parallel ray projections. In order to compensate for limited data, several reconstructions are generated from several sets of projections of a specimen, acquired at different orientations of parallel-ray light scanning. The reconstructions are combined together using a vote criteria to create a final volume. Another reconstruction algorithm developed by the group employs both transform-based and iterative methods to address the limited-angle reconstruction problem. In this algorithm the trans form-based method is used as an initial starting point for the following iterative reconstruction. A feedback correction of the reconstruction imauc is made on each iteration step. The method enables to incorporate previously known information about the object into the reconstruction process. The algorithm improves reconstruction accuracy at a reasonable computational cost and programming commitment. Three-dimensional microscopic images of quantitatively absorption-stained cells have been reconstructed with the resolution better than 6 microns.
The impact of the lateral distribution of light in extensive air showers on the detection and reconstruction of shower profiles is investigated for the Auger fluorescence telescopes. Based on three-dimensional simulat...
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The impact of the lateral distribution of light in extensive air showers on the detection and reconstruction of shower profiles is investigated for the Auger fluorescence telescopes. Based on three-dimensional simulations, the capability of the Auger telescopes to measure the lateral distribution of light is evaluated. The ability to infer the actual lateral distribution is confirmed by the comparison of detailed simulations with real data. The contribution of pixels located far from the axis of the shower image is calculated and the accepted signal is rescaled in order to reconstruct a correct shower profile. The analysis presented here shows that: (a) the Auger telescopes are able to observe the lateral distribution of showers and (b) the energy corrections to account for the signal in outlying pixels can exceed 10%, depending on shower geometry.
Utilization of tools during surgical interventions sets the problem of their accurate localization within biological tissue. The ultrasound imaging represents an inexpensive and a flexible approach for a real-time ima...
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ISBN:
(纸本)0819457248
Utilization of tools during surgical interventions sets the problem of their accurate localization within biological tissue. The ultrasound imaging represents an inexpensive and a flexible approach for a real-time image acquisition of tissue structure with metal instruments. There are several difficulties involving processing of ultrasound images: Their noisy nature makes the localization task difficult;the objects appear irregular and incomplete. Our task is to determine the position of a curvilinear electrode in biological tissue from a three-dimensional ultrasound image. Initially, the data are segmented by thresholding and processed with the randomized version of the RANSAC (R-RANSAC) algorithm. The curvilinear electrode is modeled by a three-dimensional cubic curve. Its shape is subject to check using a curvature measure in the hypothesis evaluation step of the R-RANSAC algorithm. Subsequently, we perform the least squares curve fitting to the data that have been marked by the R-RANSAC as the ones corresponding to the sought object. The position estimation is optimal with respect to the mean square criterion. Finally, the localization of the electrode tips is carried out by a hypothesis testing on the distances between projections of inliers on the estimated curve. The algorithm has been tested on real three-dimensional ultrasound images of a tissue mimicking phantom with a curvilinear object. from the results, we conclude that the method is very stable even if the data contain high percentage of outliers. The computational cost of the algorithm shows the possibility of real-time data processing.
In myocardial perfusion SPECT imaging the effect of photon attenuation may introduce artifacts in the reconstructed image due to the highly non-uniform distribution of tissue in the thorax region, potentially resultin...
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A finite-volume model of the cerebrospinal fluid (CSF) system encompassing the third ventricle and the aqueduct of Sylvius was used to reconstruct CSF velocity and pressure fields based on MRI data. The flow domain ge...
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ISBN:
(纸本)3540293272
A finite-volume model of the cerebrospinal fluid (CSF) system encompassing the third ventricle and the aqueduct of Sylvius was used to reconstruct CSF velocity and pressure fields based on MRI data. The flow domain geometry was obtained through segmentation of MRI brain anatomy scans. The movement of the domain walls was interpolated from brain motion MRI scans. A constant pressure boundary condition (BC) was specified at the foramina of Monro. A transient velocity BC reconstructed fromvelocimetric MRI scans was employed at the inferior end of the aqueduct of Sylvius. It could be shown that a combination of MRI scans and computational fluid dynamics (CFD) simulation can be used to reconstruct the flow field in the third ventricle. Pre-interventional knowledge of patient-specific CSF flow has the potential to improve neurosurgical interventions such as shunt placement in case of hydrocephalus.
There are various segmentation and surfacing methods to create CAD models from measured data. First the difficulties of creating a good surface structure over a polygonal mesh are investigated, followed by investigati...
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