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Device for concentrating ion beams for hydromagnetic propulsion means and hydromagnetic propulsion means equipped with same

PCT No. PCT/FR97/00906 Sec. 371 Date Jan. 21, 1999 Sec. 102(e) Date Jan. 21, 1999 PCT Filed May 23, 1997 PCT Pub. No. WO98/53201 PCT Pub. Date Nov. 26, 1998The ion beam concentration apparatus for a plasma thruster having closed electron drift comprises: a) an essentially frustoconical flared magnetic pole piece (63) open at both ends and designed to be situated downstream from the outlet plane of a plasma thruster having an annular ionization and acceleration channel (1) and peripheral and central pole pieces (3, 4) disposed on either side of the annular channel (1) to produce an essentially radial magnetic field in an outlet plane (14) perpendicularly to the axis of the annular channel (1); and b) an additional peripheral magnetic circuit (60; 80) connecting the downstream end of the flared magnetic pole piece (63) to said peripheral pole piece (3), the flared magnetic pole piece (63) co-operating with the additional peripheral magnetic circuit (60; 80) and with the peripheral and central pole pieces (3, 4) to define the shape of the magnetic field downstream from the annular channel (1) in such a manner as to constrain the ion beam emitted by the annular channel (1) to remain within an essentially conical zone whose predetermined angle at the apex is defined by the angle at the apex of the flared magnetic pole piece (63).
Owner:SN DETUDE & DE CONSTR DE MOTEURS DAVIATION S N E C M A

Medical PET image denoising method based on DNST domain bivariate shrinkage and bilateral non-local mean filtering

The invention discloses a medical PET image denoising method based on combination of DNST domain bivariate shrinkage and rotation invariant bilateral non-local mean filtering. The method comprises thefollowing steps of 1) establishing a medical PET image model; 2) decomposing the PET image through discrete inseparable shear waves; 3) carrying out double-variable shrinkage processing on the high-frequency shear wave coefficient; and step 4) carrying out rotation invariant bilateral non-local mean filtering processing on the low-frequency shear wave coefficient, and step 4) carrying out DNST inverse transformation on the processed coefficient. According to the method, experimental analysis is compared with the latest denoising field algorithm, and the method is effectively applied to the field of medical PET denoising; especially for PET low frequency, rotation-invariant bilateral non-local mean filtering is adopted, and double-variable contraction is carried out on the high-frequency shear wave coefficient, so that detail information of soft tissues in the medical PET image can be better protected. Through comparison of a large amount of experimental data, the medical PET image denoising method based on combination of shear wave domain bivariate shrinkage and rotation invariant bilateral non-local mean filtering is provided, and analysis and diagnosis of doctors can be better facilitated.
Owner:ZHEJIANG UNIV OF TECH
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