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公开(公告)号:US20230263487A1
公开(公告)日:2023-08-24
申请号:US18017143
申请日:2021-07-16
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: KLAUS ALFRED ERHARD , HEINER DAERR , ARTUR SOSSIN , AXEL THRAN , BERNHARD JOHANNES BRENDEL , CHRISTIAN HAASE , CLAAS BONTUS
CPC classification number: A61B6/12 , A61B6/4441 , A61B6/52
Abstract: A spectral X-ray imaging system (100) includes an X-ray source (110) and an X-ray detector (120) that are mounted to a support structure (150). The support structure (150) is configured to rotate the X-ray source (110) and the X-ray detector (120) around two or more orthogonal axes (A-A′, B-B′). One or more processors (130) are configured to cause the system (100) to perform operations that include: generating a spectral image based on the spectral image data; and identifying, in the spectral image, a position of a first fiducial marker (180i) comprising a first material, based on a first X-ray absorption k-edge energy value (190i) of the first material.
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公开(公告)号:US20240127500A1
公开(公告)日:2024-04-18
申请号:US18276902
申请日:2022-02-15
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor: BERNHARD JOHANNES BRENDEL , KLAUS ALFRED ERHARD , CLAAS BONTUS , ARTUR SOSSIN , AXEL THRAN , HEINER DAERR
CPC classification number: G06T11/006 , G06T5/50 , G06T5/70 , G06T2211/408
Abstract: The present invention relates to a method (1), resp. a device, system and computer-program product, for material decomposition of spectral imaging projection data. The method comprises receiving (2) projection data acquired by a spectral imaging system and reducing (3) noise in the projection data by combining corresponding spectral values for different projection rays to obtain noise-reduced projection data. The method comprises applying (6) a first projection-domain material decomposition algorithm to the noise-reduced projection data to obtain a first set of material path length estimates, and applying (7) a second projection-domain material decomposition algorithm to the projection data to obtain a second set of material path length estimates. The second projection-domain material decomposition algorithm comprises an optimization that penalizes a deviation between the second set of material path length estimates being optimized and the first set of material path length estimates.
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