Selection of magnetic resonance fingerprinting dictionaries for anatomical regions

    公开(公告)号:US11112478B2

    公开(公告)日:2021-09-07

    申请号:US16497480

    申请日:2018-03-30

    摘要: The invention provides for a magnetic resonance imaging system (100) for acquiring MRF magnetic resonance data (144) from a subject (118) within a region of interest (109). The magnetic resonance imaging system comprises a processor (130) for controlling the magnetic resonance imaging system and a memory (134) for storing machine executable instructions (140) and MRF pulse sequence commands (142). The MRF pulse sequence commands are configured for controlling the magnetic resonance imaging system to acquire the MRF magnetic resonance data according to a magnetic resonance fingerprinting protocol. Execution of the machine executable instructions causes the processor to: acquire (200) the MRF magnetic resonance data for the region of interest by controlling the magnetic resonance imaging system with the MRF pulse sequence commands; receive (202) at least one magnetic resonance image (152) descriptive of the region of interest; identify (204) anatomical regions (156) within the region of interest using an anatomical model (154); select (206) a local magnetic resonance fingerprinting dictionary (158) from a set of magnetic resonance fingerprinting dictionaries for each of the anatomical regions, wherein the local magnetic resonance fingerprinting dictionary comprises a listing of calculated MRF signals for a set of predetermined substances specific to each of the anatomical regions; and calculate (208) a composition mapping (160) of the predetermined substances for each of the anatomical regions using the MRF magnetic resonance data and the local magnetic resonance fingerprinting dictionary, wherein the composition mapping is a spatial average within each of the anatomical regions.

    Interactive mesh editing
    2.
    发明授权

    公开(公告)号:US10282917B2

    公开(公告)日:2019-05-07

    申请号:US15577355

    申请日:2016-06-29

    摘要: A system and method are provided for interactive editing of a mesh which has been applied to a three-dimensional (3D) image to segment an anatomical structure shown therein. To facilitate the interactive editing of the applied mesh, a view of the 3D image is generated which shows a mesh part to be edited, with the view being established based on a local orientation of the mesh part. Advantageously, the view may be generated to be substantially orthogonally to the mesh part, or to a centerline of the anatomical structure which is determined as a function of the mesh part. Accordingly, an orthogonal view is established which facilitates the user in carrying out the editing action with respect to the mesh part. It is therefore not needed for the user to manually navigate through the 3D image to obtain a view which is suitable for mesh editing, which is typically time consuming.

    Interactive optimization of scan databases for statistical testing
    3.
    发明授权
    Interactive optimization of scan databases for statistical testing 有权
    扫描数据库的互动优化用于统计测试

    公开(公告)号:US09053213B2

    公开(公告)日:2015-06-09

    申请号:US14373914

    申请日:2013-01-15

    摘要: Generating a patient image collective (34) includes receiving a plurality of candidate images (20) and associated data. At least one inclusion/exclusion rule (44) is applied to the plurality of candidate images and associated data which results in subsets of candidate images (32). The candidate images are tested which result in at least one quality measure (40). The at least one quality measure (40) and associated candidate images are reviewed. The at least one inclusion/exclusion rule (44) is refined based on the reviewed at least one quality measure (40) by at least one of: adding a rule, modifying a rule, deleting a rule, removing a candidate image; and adding a candidate image. The steps of applying the at least one inclusion/exclusion rule through refining the at least one inclusion/exclusion rule are repeated until an optimized collective of images is generated based on a collective size and the at least one quality measure (40). The generated collective is outputted to a data store (34).

    摘要翻译: 生成患者图像集合(34)包括接收多个候选图像(20)和相关联的数据。 至少一个包含/排除规则(44)被应用于导致候选图像(32)的子集的多个候选图像和相关联的数据。 测试候选图像,其导致至少一个质量测量(40)。 评估至少一个质量测量(40)和相关联的候选图像。 基于所审查的至少一个质量度量(40),至少一个包含/排除规则(44)通过以下至少一个来进行细化:添加规则,修改规则,删除规则,移除候选图像; 并添加候选图像。 重复通过细化所述至少一个包含/排除规则来应用所述至少一个包含/排除规则的步骤,直到基于集体大小和所述至少一个质量度量(40)生成图像的优化集合。 生成的集合被输出到数据存储器(34)。

    Brachytherapy treatment planning system

    公开(公告)号:US11247070B2

    公开(公告)日:2022-02-15

    申请号:US16962899

    申请日:2019-03-13

    摘要: A brachytherapy treatment planning system includes a processor that: receives a planning image corresponding to at least a portion of a prostate; generates a brachytherapy treatment plan comprising, for each of a plurality of brachytherapy seeds or catheters, a corresponding brachytherapy seed or catheter position in the planning image such that the plurality of brachytherapy seed or catheter positions in the planning image together satisfy a desired radioactive dose objective in the prostate; receives a pre-treatment image corresponding to the at least a portion of a prostate; and maps each brachytherapy seed or catheter position in the planning image to a corresponding position in the pre-treatment image by performing a registration between the planning image and the pre-treatment image.

    Intensity corrected magnetic resonance images

    公开(公告)号:US10921412B2

    公开(公告)日:2021-02-16

    申请号:US16461428

    申请日:2017-11-10

    摘要: The invention provides for a medical instrument (100) comprising a processor (134) and a memory (138) containing machine executable instructions (140). Execution of the machine executable instructions causes the processor to: receive (200) a first magnetic resonance image data set (146) descriptive of a first region of interest (122) of a subject (118) and receive (202) at least one second magnetic resonance image data set (152, 152′) descriptive of a second region of interest (124) of the subject. The first region of interest at least partially comprises the second region of interest. Execution of the machine executable instructions further cause the processor to receive (204) an analysis region (126) within both the first region of interest and within the second region of interest. Execution of the machine executable instructions further cause the processor to construct (206) a cost function comprising an intra-scan homogeneity measure separately for the first magnetic resonance image data set and separately for each of the at least one second magnetic resonance image data set. The cost function further comprises an inter-scan similarity measure calculated using both the first magnetic resonance image data set and each of the at least one second magnetic resonance image data set. Execution of the machine executable instructions further cause the processor to by performing an optimization (208) of the cost function by calculating a first intensity correction map (154) for the first magnetic resonance image data set using an intensity correction algorithm within the analysis region and at least one second intensity correction map (156) for each of the at least one second magnetic resonance image data set within the analysis region. Execution of the machine executable instructions further cause the processor to calculate (210) a first corrected magnetic resonance image (158) descriptive of the analysis region using the first magnetic resonance image data set and the first intensity correction map. Execution of the machine executable instructions further cause the processor to calculate (212) at least one second corrected magnetic resonance image (160) descriptive of the analysis region using the at least at least one second magnetic resonance image data set and the at least one second intensity correction map.

    Imaging data statistical testing including a stereotactical normalization with a personalized template image

    公开(公告)号:US10269115B2

    公开(公告)日:2019-04-23

    申请号:US15325102

    申请日:2015-07-06

    摘要: A method includes obtaining an image of a subject to process via statistical testing. The method further includes obtaining a subject personalized template image, which is personalized to the subject based on a predetermined characteristic of the subject. The method further includes registering the subject personalized template image to the image of the subject. The method further includes performing statistical testing using the subject personalized template image registered to the image of the subject. A computing system (304) includes a memory (320) that stores a statistical testing module (320) and data (324). The computing system further includes a processor (318) that executes the one or more instructions, which causes the processor to: perform voxel-wise statistical testing of a functional image using a subject personalized template image for stereotactical normalization of the voxel-wise statistical testing.

    Artificial intelligence-enabled localization of anatomical landmarks

    公开(公告)号:US11475559B2

    公开(公告)日:2022-10-18

    申请号:US16764009

    申请日:2018-11-16

    摘要: The present disclosure relates to a method for medical imaging method for locating anatomical landmarks of a predetermining defined anatomy. The method comprises: a) providing a machine learning model for predicting anatomical landmarks in image data obtained using a set of acquisition parameters and for predicting a subsequent set of acquisition parameters of the set of acquisition parameters for subsequent acquisition of image data; b) determining 5 a current set of acquisition parameters; c) receiving survey image data representing a slice of the anatomy, the survey image data having the current set of current acquisition parameters; d) identifying anatomical landmarks in the received image data using the machine learning model; e) predicting another set of acquisition parameters using the machine learning model and repeating steps c)-e) for a predefined number of repetitions using the predicted set of 10 acquisition parameters as the current set of parameters; and f) providing the identified anatomical landmarks.

    Medical image editing
    9.
    发明授权

    公开(公告)号:US10586398B2

    公开(公告)日:2020-03-10

    申请号:US15537360

    申请日:2015-12-07

    IPC分类号: G06T19/20 G06T17/20

    摘要: The present invention relates to medical image editing. In order to facilitate the medical image editing process, a medical image editing device (50) is provided that comprises a processor unit (52), an output unit (54), and an interface unit (56). The processor unit (52) is configured to provide a 3D surface model of an anatomical structure of an object of interest. The 3D surface model comprises a plurality of surface sub-portions. The surface sub-portions each comprise a number of vertices, and each vertex is assigned by a ranking value. The processor unit (52) is further configured to identify at least one vertex of vertices adjacent to the determined point of interest as an intended vertex. The identification is based on a function of a detected proximity distance to the point of interest and the assigned ranking value. The output unit (54) is configured to provide a visual presentation of the 3D surface model. The interface unit (56) is configured to determine a point of interest in the visual presentation of the 3D surface model by interaction of a user. The interface unit 56 is further configured to modify the 3D surface model by displacing the intended vertex by manual user interaction. In an example, the output unit (54) is a display configured to display the 3D surface model directly to the user (58).

    Method to compute and present brain amyloid in gray matter
    10.
    发明授权
    Method to compute and present brain amyloid in gray matter 有权
    计算和呈现灰质中脑淀粉样蛋白的方法

    公开(公告)号:US09585567B2

    公开(公告)日:2017-03-07

    申请号:US14355599

    申请日:2012-11-13

    摘要: An imaging work station (20) includes one or more processors programmed to receive (170) an image depicting a distribution of a radiotracer in a brain or other region of interest. The radiotracer includes at least one of [18F]-Flutemetamol, [18F]-Florbetaben, and [18F]-Florbetapir which highlights amyloid deposits. The image and a template or an MRI image of the region of interest which includes a segmented anatomical feature, such as gray matter, are registered (180) to a common space. A volume representation of the image which depicts the distribution of the radiotracer in the segmented gray matter and suppresses the radiotracer outside of the segmented anatomical feature in white matter is extracted (210).

    摘要翻译: 成像工作站(20)包括被编程为接收(170)描绘大脑或其他感兴趣区域中的放射性示踪剂的分布的图像的一个或多个处理器。 放射性示踪剂包括突出淀粉样蛋白沉积物的[18 F] - 十六烷基胺,[18 F] - 格列贝星和[18F] - 格列贝皮中的至少一种。 包括分割的解剖特征(例如灰质)的感兴趣区域的图像和模板或MRI图像被记录(180)到公共空间。 提取了描绘分段灰质中放射性示踪剂的分布并且抑制白质中分段解剖特征之外的放射性示踪剂的图像的体积表示(210)。