公开(公告)号：US20200134816A1

公开(公告)日：2020-04-30

申请号：US16494109

申请日：2017-04-27

Applicant: Brainlab AG

Inventor： Hubert Goette ,  Steffen Heinrich

IPC: G06T7/00 ,  A61B90/00

Abstract: A method for removing ghost markers from a measured set of medical markers, wherein the measured set of markers represents the positions of real markers and the positions of ghost markers, comprising the steps of: —calculating all possible minimal marker sets, wherein a minimal marker set is a subset of the measured set and a minimal marker set consists of the smallest possible number of markers which would cause the measured set to be measured; —calculating the smallest extent of each minimal marker set, wherein the smallest extent is the smallest extent among the extents in three orthogonal directions; and —selecting the minimal marker set having the smallest out of the smallest extents as a marker set without ghost markers.

公开(公告)号：US10328283B2

公开(公告)日：2019-06-25

申请号：US15544941

申请日：2016-11-17

Applicant: Brainlab AG

Inventor： Steffen Heinrich ,  Kajetan Berlinger ,  Milo{hacek over (s)} Marić ,  Christian Spika

IPC: A61N5/10 ,  G06T7/246 ,  G06T7/73 ,  A61B6/02 ,  A61B6/12 ,  A61B6/00

Abstract: A data processing method for determining the position of a target, comprising the steps performed by a computer: a) acquiring a target movement model specifying a movement cycle of the target; b) acquiring a target position signal representing a view of the target from a single direction and/or provided by a single imager; c) determining, based on the acquired target position signal and the target movement model, the position of the target.

公开(公告)号：US10699409B2

公开(公告)日：2020-06-30

申请号：US16494109

申请日：2017-04-27

Applicant: Brainlab AG

Inventor： Hubert Goette ,  Steffen Heinrich

IPC: G06T7/00 ,  A61B90/00

Abstract: A method for removing ghost markers from a measured set of medical markers, wherein the measured set of markers represents the positions of real markers and the positions of ghost markers, comprising the steps of: —calculating all possible minimal marker sets, wherein a minimal marker set is a subset of the measured set and a minimal marker set consists of the smallest possible number of markers which would cause the measured set to be measured; —calculating the smallest extent of each minimal marker set, wherein the smallest extent is the smallest extent among the extents in three orthogonal directions; and —selecting the minimal marker set having the smallest out of the smallest extents as a marker set without ghost markers.

公开(公告)号：US20170368369A1

公开(公告)日：2017-12-28

申请号：US15544941

申请日：2016-11-17

Applicant: Brainlab AG

Inventor： Steffen Heinrich ,  Kajetan Berlinger ,  Milos Maric ,  Christian Spika

IPC: A61N5/10 ,  A61B6/02 ,  G06T7/73 ,  G06T7/246

CPC classification number: A61N5/1049 ,  A61B6/022 ,  A61B6/12 ,  A61B6/5264 ,  A61N2005/1061 ,  G06T7/246 ,  G06T7/251 ,  G06T7/75 ,  G06T2207/10012 ,  G06T2207/10048 ,  G06T2207/10116 ,  G06T2207/30004 ,  G06T2207/30204

Abstract: A data processing method for determining the position of a target, comprising the steps performed by a computer: a) acquiring a target movement model specifying a movement cycle of the target; b) acquiring a target position signal representing a view of the target from a single direction and/or provided by a single imager; c) determining, based on the acquired target position signal and the target movement model, the position of the target.