公开(公告)号：US20230083696A1

公开(公告)日：2023-03-16

申请号：US17868575

申请日：2022-07-19

Applicant: SPINTECH, INC.

Inventor： Ewart Mark Haacke ,  Paul David Kokeny

IPC: G01R33/56 ,  G01R33/561 ,  G01R33/565

Abstract: A magnetic resonance imaging (MRI) system can include a processor and a memory. The processor can receive an acquired magnetic resonance (MR) dataset having a first signal-to-noise ratio (SNR). The processor can extract, from the acquired MR dataset, a first set of values corresponding to a first variable having a second SNR and a second set of values corresponding to a second variable. The processor can apply a constraint function that includes a function of the first variable and the second variable. The processor can minimize a cost function according to the constraint function to generate a cost function solution. The processor can input the first variable and the second variable into the cost function solution to generate a modified first variable having a third SNR, the third SNR being greater than the second SNR.

公开(公告)号：US20230281814A1

公开(公告)日：2023-09-07

申请号：US18316340

申请日：2023-05-12

Applicant: SpinTech, Inc.

Inventor： Ewart Mark Haacke ,  Ying Wang

IPC: G06T7/00 ,  A61B5/055 ,  A61B5/00 ,  G06T3/00 ,  G06T7/11 ,  G06V10/25 ,  G06V10/774 ,  G06T7/62

CPC classification number: G06T7/0012 ,  A61B5/055 ,  A61B5/7253 ,  A61B5/7267 ,  G06T3/0093 ,  G06T7/11 ,  G06V10/25 ,  G06V10/774 ,  G06T7/62 ,  G06V2201/03 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/30004 ,  G06T2207/20132

Abstract: Systems and methods for detecting anatomical structures include, for each training subject of a plurality of training subjects, a corresponding MR image, and generating an initial anatomical template based on a first training subject of the plurality of training subjects. A computing device can map MR images of the other training subjects onto a template space by applying a global transformation followed by a local transformation. The computing device can average the mapped MR images with the initial anatomical template to generate a final anatomical template and boundaries of an anatomical structure of interest can be drawn in the final anatomical template. The computing device can fine tune the boundaries using an edge detection algorithm. The final anatomical template can be used to identify boundaries of the anatomical structure(s) of interest automatically (e.g., without human intervention) in non-training subjects.

公开(公告)号：US11119170B1

公开(公告)日：2021-09-14

申请号：US16899370

申请日：2020-06-11

Applicant: SPINTECH, INC.

Inventor： E. Mark Haacke ,  Yongsheng Chen

IPC: G01R33/48 ,  G01R33/561 ,  G01R33/56

Abstract: Systems and methods for high-resolution STAGE imaging can include acquisition of relatively low-resolution k-space datasets with two separate multi-echo GRE sequences. The multi-echo GRE sequences can correspond to separate and distinct flip angles. Various techniques for combining the low-resolution k-space datasets to generate a relatively high-resolution k-space are described. These techniques can involve combining low-resolution k-space datasets associated with various echo types. The STAGE imaging approaches described herein allow for rapid imaging, enhanced image resolution with relatively small or no increase in MR data acquisition time.

公开(公告)号：US20220327699A1

公开(公告)日：2022-10-13

申请号：US17735287

申请日：2022-05-03

Applicant: SpinTech, Inc.

Inventor： Ewart Mark Haacke ,  Ying Wang

IPC: G06T7/00 ,  A61B5/055 ,  A61B5/00 ,  G06T3/00 ,  G06T7/11 ,  G06T7/62 ,  G06V10/25 ,  G06V10/774

Abstract: Systems and methods for detecting anatomical structures include, for each training subject of a plurality of training subjects, a corresponding MR image, and generating an initial anatomical template based on a first training subject of the plurality of training subjects. A computing device can map MR images of the other training subjects onto a template space by applying a global transformation followed by a local transformation. The computing device can average the mapped MR images with the initial anatomical template to generate a final anatomical template and boundaries of an anatomical structure of interest can be drawn in the final anatomical template. The computing device can fine tune the boundaries using an edge detection algorithm. The final anatomical template can be used to identify boundaries of the anatomical structure(s) of interest automatically (e g., without human intervention) in non-training subjects.

公开(公告)号：US11651490B2

公开(公告)日：2023-05-16

申请号：US17735287

申请日：2022-05-03

Applicant: SpinTech, Inc.

Inventor： Ewart Mark Haacke ,  Ying Wang

IPC: G06T7/00 ,  A61B5/055 ,  G06T3/00 ,  G06T7/11 ,  G06V10/25 ,  G06T7/62 ,  A61B5/00 ,  G06V10/774

CPC classification number: G06T7/0012 ,  A61B5/055 ,  A61B5/7253 ,  A61B5/7267 ,  G06T3/0093 ,  G06T7/11 ,  G06T7/62 ,  G06V10/25 ,  G06V10/774 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/20132 ,  G06T2207/30004 ,  G06V2201/03

Abstract: Systems and methods for detecting anatomical structures include, for each training subject of a plurality of training subjects, a corresponding MR image, and generating an initial anatomical template based on a first training subject of the plurality of training subjects. A computing device can map MR images of the other training subjects onto a template space by applying a global transformation followed by a local transformation. The computing device can average the mapped MR images with the initial anatomical template to generate a final anatomical template and boundaries of an anatomical structure of interest can be drawn in the final anatomical template. The computing device can fine tune the boundaries using an edge detection algorithm. The final anatomical template can be used to identify boundaries of the anatomical structure(s) of interest automatically (e g., without human intervention) in non-training subjects.

公开(公告)号：US20210389401A1

公开(公告)日：2021-12-16

申请号：US16899357

申请日：2020-06-11

Applicant: SPINTECH, INC.

Inventor： E. Mark Haacke ,  Yongsheng Chen

IPC: G01R33/48 ,  G01R33/561 ,  G01R33/56 ,  A61B5/055

Abstract: Systems and methods for high-resolution STAGE imaging can include acquisition of relatively low-resolution k-space datasets with two separate multi-echo GRE sequences. The multi-echo GRE sequences can correspond to separate and distinct flip angles. Various techniques for combining the low-resolution k-space datasets to generate a relatively high-resolution k-space are described. These techniques can involve combining low-resolution k-space datasets associated with various echo types. The STAGE imaging approaches described herein allow for rapid imaging, enhanced image resolution with relatively small or no increase in MR data acquisition time.

公开(公告)号：US11789105B2

公开(公告)日：2023-10-17

申请号：US17868575

申请日：2022-07-19

Applicant: SPINTECH, INC.

Inventor： Ewart Mark Haacke ,  Paul David Kokeny

IPC: G01V3/00 ,  G01R33/56 ,  G01R33/565 ,  G01R33/561

CPC classification number: G01R33/5608 ,  G01R33/561 ,  G01R33/565

Abstract: A magnetic resonance imaging (MRI) system can include a processor and a memory. The processor can receive an acquired magnetic resonance (MR) dataset having a first signal-to-noise ratio (SNR). The processor can extract, from the acquired MR dataset, a first set of values corresponding to a first variable having a second SNR and a second set of values corresponding to a second variable. The processor can apply a constraint function that includes a function of the first variable and the second variable. The processor can minimize a cost function according to the constraint function to generate a cost function solution. The processor can input the first variable and the second variable into the cost function solution to generate a modified first variable having a third SNR, the third SNR being greater than the second SNR.

公开(公告)号：US11435424B1

公开(公告)日：2022-09-06

申请号：US17459482

申请日：2021-08-27

Applicant: SPINTECH, INC.

Inventor： Ewart Mark Haacke ,  Paul David Kokeny

IPC: G01N33/48 ,  G01R33/56 ,  G01R33/565 ,  G01R33/561

Abstract: A magnetic resonance imaging (MRI) system can include a processor and a memory. The processor can receive an acquired magnetic resonance (MR) dataset having a first signal-to-noise ratio (SNR). The processor can extract, from the acquired MR dataset, a first set of values corresponding to a first variable having a second SNR and a second set of values corresponding to a second variable. The processor can apply a constraint function that includes a function of the first variable and the second variable. The processor can minimize a cost function according to the constraint function to generate a cost function solution. The processor can input the first variable and the second variable into the cost function solution to generate a modified first variable having a third SNR, the third SNR being greater than the second SNR.

公开(公告)号：US11249159B2

公开(公告)日：2022-02-15

申请号：US16899357

申请日：2020-06-11

Applicant: SPINTECH, INC.

Inventor： E. Mark Haacke ,  Yongsheng Chen

IPC: G01V3/00 ,  G01R33/48 ,  A61B5/055 ,  G01R33/56 ,  G01R33/561

Abstract: Systems and methods for high-resolution STAGE imaging can include acquisition of relatively low-resolution k-space datasets with two separate multi-echo GRE sequences. The multi-echo GRE sequences can correspond to separate and distinct flip angles. Various techniques for combining the low-resolution k-space datasets to generate a relatively high-resolution k-space are described. These techniques can involve combining low-resolution k-space datasets associated with various echo types. The STAGE imaging approaches described herein allow for rapid imaging, enhanced image resolution with relatively small or no increase in MR data acquisition time.

公开(公告)号：US10451697B2

公开(公告)日：2019-10-22

申请号：US15659353

申请日：2017-07-25

Applicant: SPINTECH, INC.

Inventor： E. Mark Haacke

IPC: G01V3/00 ,  G01R33/561 ,  G01R33/567 ,  A61B5/055 ,  G01R33/50 ,  G01R33/565 ,  G01R33/48 ,  A61B5/00 ,  G01R33/24

Abstract: Variable flip angle techniques with constraints for reconstructing MR images include a processor generating a T1app map representing a spatial distribution of T1app within an anatomical region using a first MR dataset corresponding to a first flip angle (FA) and a second MR dataset corresponding to a second FA. The processor can estimate a first and second transmit RF field maps by scaling the T1app map by a first constant value of T1 associated with a first tissue type and a second constant value of T1 associated with a second tissue type, respectively. The processor can generate a third transmit RF field map using the first and second transmit RF field maps, and use the third transmit RF field map to construct MR images of the anatomical region. Weighted subtraction images can be created with improved contrast-to-noise ratio compared to images of the first and second MR datasets.