公开(公告)号：US20190046052A1

公开(公告)日：2019-02-14

申请号：US16159888

申请日：2018-10-15

Applicant: Case Western Reserve University

Inventor： Mark A. Griswold ,  Anagha Deshmane ,  Jeffrey Sunshine

IPC: A61B5/026 ,  G01R33/48 ,  A61B5/055 ,  A61B5/00 ,  G01R33/44 ,  G01R33/56 ,  G01R33/561 ,  G01R33/563 ,  G01R33/565 ,  A61B1/00 ,  G01R33/50 ,  A61B17/00 ,  G01R1/00 ,  G06T1/00

Abstract: Example embodiments associated with characterizing a sample using NMR fingerprinting are described. One example NMR apparatus includes an NMR logic that repetitively and variably samples a (k, t, E) space associated with an object to acquire a set of NMR signals that are associated with different points in the (k, t, E) space. Sampling is performed with t and/or E varying in a non-constant way. The NMR apparatus may also include a signal logic that produces an NMR signal evolution from the NMR signals and a characterization logic that characterizes a tissue in the object as a result of comparing acquired signals to reference signals. Example embodiments facilitate distinguishing diseased tissue from healthy tissue based on tissue component fractions identified using the NMR fingerprinting.

公开(公告)号：US20150302297A1

公开(公告)日：2015-10-22

申请号：US14682220

申请日：2015-04-09

Applicant: Case Western Reserve University

Inventor： Mark Griswold ,  Nahal Geshnizjani ,  Dan Ma ,  Kenneth Loparo ,  Jeffrey Sunshine

IPC: G06N3/08 ,  G06F17/16 ,  G01R33/54

CPC classification number: G06N3/08 ,  G01R33/448 ,  G01R33/543 ,  G01R33/5608 ,  G01R33/56341

Abstract: Example apparatus and methods employ an artificial neural network (ANN) to automatically design magnetic resonance (MR) pulse sequences. The ANN is trained using transverse magnetization signal evolutions having arbitrary initial magnetizations. The trained up ANN may then produce an array of signal evolutions associated with a pulse sequence having user selectable pulse sequence parameters that vary in degrees of freedom associated with magnetic resonance fingerprinting (MRF). Efficient and accurate approaches are provided for predicting user controllable MR pulse sequence settings including, but not limited to, acquisition period and flip angle (FA). The acquisition period and FA may be different in different sequence blocks in the pulse sequence produced by the ANN. Predicting user controllable MR pulse sequence settings for both conventional MR and MRF facilitates achieving desired signal characteristics from a signal evolution produced in response to an automatically generated pulse sequence.

Abstract translation: 示例性装置和方法采用人造神经网络（ANN）自动设计磁共振（MR）脉冲序列。 使用具有任意初始磁化的横向磁化信号演化训练ANN。 然后训练的ANN可以产生与具有与磁共振指纹图像（MRF）相关的自由度变化的用户可选择的脉冲序列参数的脉冲序列相关联的信号演化阵列。 提供了高效准确的方法来预测用户可控的MR脉冲序列设置，包括但不限于采集周期和翻转角（FA）。 在ANN产生的脉冲序列中，采集周期和FA可能不同。 预测常规MR和MRF的用户可控MR脉冲序列设置有助于从响应于自动产生的脉冲序列产生的信号演进实现期望的信号特性。

公开(公告)号：US20150301144A1

公开(公告)日：2015-10-22

申请号：US14682142

申请日：2015-04-09

Applicant: Case Western Reserve University

Inventor： Mark Griswold ,  Anagha Deshmane ,  Jeffrey Sunshine

IPC: G01R33/56 ,  G01R33/561

CPC classification number: A61B5/0263 ,  A61B1/00 ,  A61B5/055 ,  A61B5/4064 ,  A61B5/742 ,  A61B17/00 ,  A61B2217/00 ,  A61B2218/00 ,  G01R1/00 ,  G01R33/448 ,  G01R33/4818 ,  G01R33/4828 ,  G01R33/50 ,  G01R33/5602 ,  G01R33/5608 ,  G01R33/5611 ,  G01R33/56366 ,  G01R33/56563 ,  G06T1/00 ,  G06T2200/00

Abstract: Example embodiments associated with characterizing a sample using NMR fingerprinting are described. One example NMR apparatus includes an NMR logic that repetitively and variably samples a (k, t, E) space associated with an object to acquire a set of NMR signals that are associated with different points in the (k, t, E) space. Sampling is performed with t and/or E varying in a non-constant way. The NMR apparatus may also include a signal logic that produces an NMR signal evolution from the NMR signals and a characterization logic that characterizes a tissue in the object as a result of comparing acquired signals to reference signals. Example embodiments facilitate distinguishing diseased tissue from healthy tissue based on tissue component fractions identified using the NMR fingerprinting.

Abstract translation: 描述了使用NMR指纹图谱来表征样本的示例性实施例。 一个例子的NMR装置包括NMR逻辑，其重复和可变地采样与物体相关联的（k，t，E）空间，以获得与（k，t，E）空间中的不同点相关联的一组NMR信号。 t和/或E以非常数方式变化进行采样。 NMR装置还可以包括从NMR信号产生NMR信号演化的信号逻辑，以及作为将获取的信号与参考信号进行比较的结果来表征对象中的组织的表征逻辑。 基于使用NMR指纹图谱识别的组织成分部分，示例性实施方式有助于将患病组织与健康组织区分开。

公开(公告)号：US11179052B2

公开(公告)日：2021-11-23

申请号：US16159888

申请日：2018-10-15

Applicant: Case Western Reserve University

Inventor： Mark A. Griswold ,  Anagha Deshmane ,  Jeffrey Sunshine

IPC: A61B5/026 ,  A61B5/055 ,  A61B5/00 ,  G01R33/563 ,  G01R33/44 ,  G01R33/48 ,  G01R33/565 ,  G01R33/56 ,  G01R33/561 ,  A61B1/00 ,  G01R1/00 ,  A61B17/00 ,  G06T1/00 ,  G01R33/50

Abstract: Example embodiments associated with characterizing a sample using NMR fingerprinting are described. One example NMR apparatus includes an NMR logic that repetitively and variably samples a (k, t, E) space associated with an object to acquire a set of NMR signals that are associated with different points in the (k, t, E) space. Sampling is performed with t and/or E varying in a non-constant way. The NMR apparatus may also include a signal logic that produces an NMR signal evolution from the NMR signals and a characterization logic that characterizes a tissue in the object as a result of comparing acquired signals to reference signals. Example embodiments facilitate distinguishing diseased tissue from healthy tissue based on tissue component fractions identified using the NMR fingerprinting.

公开(公告)号：US10143389B2

公开(公告)日：2018-12-04

申请号：US14682142

申请日：2015-04-09

Applicant: Case Western Reserve University

Inventor： Mark Griswold ,  Anagha Deshmane ,  Jeffrey Sunshine

IPC: G01V3/00 ,  A61B5/026 ,  A61B5/055 ,  G01R33/44 ,  G01R33/48 ,  G01R33/565 ,  G01R33/56 ,  G01R33/561 ,  G01R33/563 ,  A61B5/00 ,  A61B1/00 ,  G01R1/00 ,  G01R33/50

Abstract: Example embodiments associated with characterizing a sample using NMR fingerprinting are described. One example NMR apparatus includes an NMR logic that repetitively and variably samples a (k, t, E) space associated with an object to acquire a set of NMR signals that are associated with different points in the (k, t, E) space. Sampling is performed with t and/or E varying in a non-constant way. The NMR apparatus may also include a signal logic that produces an NMR signal evolution from the NMR signals and a characterization logic that characterizes a tissue in the object as a result of comparing acquired signals to reference signals. Example embodiments facilitate distinguishing diseased tissue from healthy tissue based on tissue component fractions identified using the NMR fingerprinting.