In this paper, rotationable IDImmUm intensity projection (rnIP) venography method is presented to display a stereoscopic image Cor 3D display and many concerning clinical applications. Because conventional rnIP venography only can display image on the axial plane, tiny tumor located behind the vessels or anomaly oC cerebrovascular hard to be detected. So its use in the clinical area is limited. To diagnose more accurate, multi view rnIP venography which provide many inCormation like as depth inC ormation and position about tumor or vessel abnormality is needed.
Recently, many kind of smart projectiles are being developed. In case of smart projectile, studying in advance, it uses a navigation data acquired from the GNSS receiver to check its location on the geocentric(WGS84) coordinates and to estimate P.O.I(point of impact). However, because of various error inducing factors, the result of positioning involve some errors. We introduce the advanced algorithm for the reconstruction of a navigation trajectory using weighted PDOP, based on a simulated trajectory acquired from PRODAS. It is very fast and robust to noise and shows reliable output. It can be widely used to estimate an actual trajectory of a projectile.
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