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1.发明公开SUPERVISED MACHINE LEARNING TECHNIQUE FOR REDUCTION OF RADIATION DOSE IN COMPUTED TOMOGRAPHY IMAGING 审中-公开监控的机器学习用于减少放射量在计算断层成像
公开(公告)号：EP2890300A1
公开(公告)日：2015-07-08
申请号：EP13833595.5
申请日：2013-08-30
申请人： Suzuki, Kenji
发明人： Suzuki, Kenji
IPC分类号： A61B6/03
CPC分类号： A61B6/5211 , A61B6/032 , A61B6/488 , A61B6/5258 , A61B6/5282 , A61B6/542 , A61B6/545 , G06K9/66 , G06T3/4046 , G06T5/002 , G06T5/50 , G06T11/008 , G06T2207/10081 , G06T2207/30028 , G06T2207/30061
摘要： Substantial reduction of the radiation dose in computed tomography (CT) imaging is shown using a machine-learning dose-reduction technique. Techniques are provided that (1) enhance low-radiation dosage images, beyond just reducing noise, and (2) may be combined with other approaches, such as adaptive exposure techniques and iterative reconstruction, for radiation dose reduction.
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2.发明授权
公开(公告)号：EP2890300B1
公开(公告)日：2019-01-02
申请号：EP13833595.5
申请日：2013-08-30
申请人： Suzuki, Kenji
发明人： Suzuki, Kenji
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公开(公告)号：EP0179466A3
公开(公告)日：1987-08-12
申请号：EP85113478
申请日：1985-10-23
申请人： Research Development Corporation of Japan , Suzuki, Kenji , Masumoto, Tsuyoshi , Ota, Nobuhiro , Mitera, Masao , Matsumoto, Akira , Masuda, Shuji
发明人： Suzuki, Kenji , Masumoto, Tsuyoshi , Ota, Nobuhiro , Okubo, Mika , Mitera, Masao , Matsumoto, Akira , Masuda, Shuji
IPC分类号： H01F01/34
摘要： This invention provides an amorphous ferromagnetic oxide represented by the formula
wherein A represents at least one of Bi 2 O 3' V 2 O 5 , TeO, and GeO 2 ; M represents at least one of Mn, Fe, Co, Ni, Cu, Mg, Zn, Cd, Ca, Pb, Ba. Sr and rare earth elements; when M is not a rare earth element, m=1 and n=1; when M is earth element, m= 2 and n=3; 0
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