公开(公告)号：US11686863B2

公开(公告)日：2023-06-27

申请号：US17896279

申请日：2022-08-26

Applicant: Rensselaer Polytechnic Institute

Inventor： Ge Wang ,  Ruibin Feng ,  David Rundle

IPC: G06T1/00 ,  G01T1/17 ,  G01T1/18 ,  G06T7/00 ,  A61B6/00

CPC classification number: G01T1/17 ,  G01T1/18 ,  G06T7/0012 ,  A61B6/4241 ,  G06T2207/10116 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30004 ,  G06T2207/30242

Abstract: A neural network based corrector for photon counting detectors is described. A method for photon count correction includes receiving, by a trained artificial neural network (ANN), a detected photon count from a photon counting detector. The detected photon count corresponds to an attenuated energy spectrum. The attenuated energy spectrum is related to characteristics of an imaging object and is based, at least in part, on an incident energy spectrum. The method further includes correcting, by the trained ANN, the detected photon count to produce a corrected photon count. The method may include reconstructing, by image reconstruction circuitry, an image based, at least in part, on the corrected photon count.

公开(公告)号：US20230035618A1

公开(公告)日：2023-02-02

申请号：US17896279

申请日：2022-08-26

Applicant: Rensselaer Polytechnic Institute

Inventor： Ge Wang ,  Ruibin Feng ,  David Rundle

IPC: G01T1/17 ,  G01T1/18 ,  G06T7/00

Abstract: A neural network based corrector for photon counting detectors is described. A method for photon count correction includes receiving, by a trained artificial neural network (ANN), a detected photon count from a photon counting detector. The detected photon count corresponds to an attenuated energy spectrum. The attenuated energy spectrum is related to characteristics of an imaging object and is based, at least in part, on an incident energy spectrum. The method further includes correcting, by the trained ANN, the detected photon count to produce a corrected photon count. The method may include reconstructing, by image reconstruction circuitry, an image based, at least in part, on the corrected photon count.

公开(公告)号：US11448778B2

公开(公告)日：2022-09-20

申请号：US16770675

申请日：2018-12-07

Applicant: RENSSELAER POLYTECHNIC INSTITUTE

Inventor： Ge Wang ,  Ruibin Feng ,  David Rundle

IPC: G06K9/00 ,  G01T1/17 ,  G01T1/18 ,  G06T7/00 ,  A61B6/00

Abstract: A neural network based corrector for photon counting detectors is described. A method for photon count correction includes receiving, by a trained artificial neural network (ANN), a detected photon count from a photon counting detector. The detected photon count corresponds to an attenuated energy spectrum. The attenuated energy spectrum is related to characteristics of an imaging object and is based, at least in part, on an incident energy spectrum. The method further includes correcting, by the trained ANN, the detected photon count to produce a corrected photon count. The method may include reconstructing, by image reconstruction circuitry, an image based, at least in part, on the corrected photon count.