Ultrasonic diffraction tomography: an application connecting high performance computing centers with clinical environment.
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Biomedical subjects
Publications and source records attributed to T A Maniatis.
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A method for calculating the two-dimensional (2-D) velocity vector flow field from color flow Doppler ultrasound images obtained from two or three steering angles has been recently demonstrated. Various strategies for calculating 2-D vectors from noise-corrupted images obtained at multiple angles are described and compared in the present work. This was achieved by using some simple computer flow simulation models to generate color flow images for various beam steering angles. Velocity vectors were calculated for the entire image, and the vectors are displayed at selected points by superimposing them on a magnitude image. It is shown that such displays help improve the qualitative understanding of images obtained from vessels with complex flow geometry. The bias and variance of four reconstruction methods are compared for stimulated laminar flow in a tube. Based on the simulation results, it was found that the dominant factor that affects the reconstruction accuracy is the angle between the observation directions, and that a simple two component method generally gives as good a performance as the more complex alternatives that were studied.
Colour flow Doppler ultrasound images from vessels of complex geometry can be difficult to interpret, thereby limiting the effectiveness of the technique to correctly assess abnormalities and to relate the images to the underlying flow field in a quantitative manner. This paper describes progress in calculating and displaying two-dimensional (2-D) velocity vectors from a 30 degrees end-to-side anastomosis model under steady flow conditions at various Reynolds numbers. Velocity vectors were computed from colour Doppler ultrasound images obtained with a linear array for several incident beam directions, and the results were displayed either as colour-encoded magnitude images or by superimposing the vectors on one of the original colour images. Results are discussed in relation to flow visualization observations and the behaviour of flow in curved vessels.
Digital reconstructed radiograph (DRR) constitutes an important tool in clinical radio-oncology. In this paper, a Fourier volume rendering (FVR) method is proposed, enabling real time preview of DRR. Important aspects related to re-sampling into the frequency domain are examined, leading to results of high quality. Experiments using phantom and clinical data sets are presented, demonstrating the effectiveness of the method for a real time execution. Furthermore, due to the inherent parallelism of the proposed algorithm, its execution time can be further reduced by distributing the required computations to more than one processors. The computational efficiency of the method highlights its suitability for integration into a web-based radiation treatment planning (RTP) system, using a client-server architecture. Thus, platform independent, real time tele-cooperation in clinical radio-oncology can be achieved.