公开(公告)号：US20240164755A1

公开(公告)日：2024-05-23

申请号：US18556854

申请日：2023-03-02

Applicant: Exo Imaging, Inc.

Inventor： Masood DEHGHAN ,  Xuebin QIN ,  Dornoosh ZONOOBI

IPC: A61B8/00 ,  A61B8/08 ,  G16H30/40 ,  G16H50/50

CPC classification number: A61B8/463 ,  A61B8/466 ,  A61B8/5207 ,  A61B8/5246 ,  G16H30/40 ,  G16H50/50

Abstract: A method for cross-referencing of 2D ultrasound scans of a tissue volume comprises generating first and second 2D representations of a target anatomy, respectively, from first and second series of 2D ultrasound images of the tissue volume generated. The method includes generating first and second simulated 2D representations of the target anatomy, respectively, from the second and first series of 2D ultrasound images. The 2D and simulated 2D representations are processed to at least substantially match pixel positions in the 2D and simulated 2D representations associated with the target anatomy. The method includes determining first and second correspondence transformation matrices from the processed 2D and simulated 2D representations, and using the first and second correspondence transformation matrices to determine, for a location in the second series of 2D ultrasound images associated with the target anatomy, a corresponding location in the first series of 2D ultrasound images.

公开(公告)号：US20240233133A9

公开(公告)日：2024-07-11

申请号：US18494660

申请日：2023-10-25

Applicant: Exo Imaging, Inc.

Inventor： Xuebin QIN ,  Zichen ZHANG ,  Masood DEHGHAN ,  Dornoosh ZONOOBI

IPC: G06T7/143 ,  G06N3/08 ,  G06N7/01 ,  G06T3/40 ,  G16H30/40

CPC classification number: G06T7/143 ,  G06N3/08 ,  G06N7/01 ,  G06T3/40 ,  G16H30/40 ,  G06T2207/10132 ,  G06T2207/20076 ,  G06T2207/20084 ,  G06T2207/30004

Abstract: A device receives an image. The image is applied to a sequence of encoders that includes a first encoder and one or more subsequent encoders, each including a U network encoder which performs convolution neural network processing. The one or more subsequent encoders receive a down-sampled version of the image from a prior encoder. The sequence of encoders form a first dimension orthogonal to the orthogonal dimension. A result of the sequence of encoders is applied to a sequence of decoders that includes a first decoder and one or more subsequent decoders. A respective decoder comprises a U network decoder that performs convolution neural network processing of an up-sampled version of the image from the first decoder. Probability outputs are produced from paired encoders and decoders in the sequence of encoders and the sequence of decoders. The probability outputs are combined to form a final output.

公开(公告)号：US20240135545A1

公开(公告)日：2024-04-25

申请号：US18494660

申请日：2023-10-24

Applicant: Exo Imaging, Inc.

Inventor： Xuebin QIN ,  Zichen ZHANG ,  Masood DEHGHAN ,  Dornoosh ZONOOBI

IPC: G06T7/143 ,  G06N3/08 ,  G06N7/01 ,  G06T3/40 ,  G16H30/40

CPC classification number: G06T7/143 ,  G06N3/08 ,  G06N7/01 ,  G06T3/40 ,  G16H30/40 ,  G06T2207/10132 ,  G06T2207/20076 ,  G06T2207/20084 ,  G06T2207/30004

Abstract: A device receives an image. The image is applied to a sequence of encoders that includes a first encoder and one or more subsequent encoders, each including a U network encoder which performs convolution neural network processing. The one or more subsequent encoders receive a down-sampled version of the image from a prior encoder. The sequence of encoders form a first dimension orthogonal to the orthogonal dimension. A result of the sequence of encoders is applied to a sequence of decoders that includes a first decoder and one or more subsequent decoders. A respective decoder comprises a U network decoder that performs convolution neural network processing of an up-sampled version of the image from the first decoder. Probability outputs are produced from paired encoders and decoders in the sequence of encoders and the sequence of decoders. The probability outputs are combined to form a final output.