公开(公告)号：US08076937B2

公开(公告)日：2011-12-13

申请号：US12517568

申请日：2007-12-06

申请人： Ronaldus Frederik Johannes Holthuizen ,  Frank Hoogenraad ,  Arianne Van Muiswinkel

发明人： Ronaldus Frederik Johannes Holthuizen ,  Frank Hoogenraad ,  Arianne Van Muiswinkel

IPC分类号： G01V3/00

CPC分类号： G01R33/5608 ,  G01R33/56341 ,  G06T7/13 ,  G06T2207/10092 ,  G06T2207/30016

摘要： A diffusion data processing apparatus comprising a segmenter arranged to segment the diffusion tensor data according to at least one segmentation model representing at least part of a fiber bundle. The segmentation model may comprise macroscopic and/or microscopic information. This leads to a segmentation of the fiber bundle that is robust and less influenced by non-perfections of the data set, such as low signal-to-noise ratio, partial voluming, or other imaging artifacts.

摘要翻译： 扩散数据处理装置，包括分段器，其被布置成根据表示纤维束的至少一部分的至少一个分割模型来分割扩散张量数据。 分割模型可以包括宏观和/或微观信息。 这导致纤维束的分割是鲁棒的，并且受数据集的不完善影响较小​​，例如低信噪比，部分压缩或其它成像伪像。

公开(公告)号：US20100079140A1

公开(公告)日：2010-04-01

申请号：US12517568

申请日：2007-12-06

申请人： Ronaldus Frederik Johannes Holthuizen ,  Frank Hoogenraad ,  Arianne Van Muiswinkel

发明人： Ronaldus Frederik Johannes Holthuizen ,  Frank Hoogenraad ,  Arianne Van Muiswinkel

IPC分类号： G01R33/44

CPC分类号： G01R33/5608 ,  G01R33/56341 ,  G06T7/13 ,  G06T2207/10092 ,  G06T2207/30016

摘要： A diffusion data processing apparatus comprising a segmenter arranged to segment the diffusion tensor data according to at least one segmentation model representing at least part of a fiber bundle. The segmentation model may comprise macroscopic and/or microscopic information. This leads to a segmentation of the fiber bundle that is robust and less influenced by non-perfections of the data set, such as low signal-to-noise ratio, partial voluming, or other imaging artifacts.

摘要翻译： 扩散数据处理装置，包括分段器，其被布置成根据表示纤维束的至少一部分的至少一个分割模型来分割扩散张量数据。 分割模型可以包括宏观和/或微观信息。 这导致纤维束的分割是鲁棒的，并且受数据集的不完善影响较小​​，例如低信噪比，部分压缩或其它成像伪像。

公开(公告)号：US20070164738A1

公开(公告)日：2007-07-19

申请号：US11568280

申请日：2005-04-22

申请人： Frank Hoogenraad ,  Johan Van Den Brink

发明人： Frank Hoogenraad ,  Johan Van Den Brink

IPC分类号： G01V3/00

CPC分类号： G01R33/4828 ,  G01R33/287

摘要： A magnetic resonance imaging system comprises a receiver system to acquire magnetic resonance signals. A control system controls the receiver system to reform an acquisition sequence to acquire the magnetic resonance signals in several acquisition segments. Respective groups of acquisition segments involve acquisition of magnetic resonance signals in different RF-receiver frequency bands. In the respective groups of acquisition segments, magnetic resonance signals are acquired from different nuclei having different gyromagnetic ratios. According to the invention, reconstruction of different types of information carried by the respective nuclei is made possible. For example, imaging of the anatomy of a patient to be examined is performed on the basis of proton magnetic resonance imaging. Imaging of a targeted contrast agent is achieved on the basis of 19F magnetic resonance imaging. Localisation of a invasive device, such as a catheter, is also performed on the basis of e.g. 19F magnetic resonance imaging.

摘要翻译： 磁共振成像系统包括用于获取磁共振信号的接收器系统。 控制系统控制接收机系统改造采集序列以获取几个采集段中的磁共振信号。 获取段的各组涉及在不同的RF接收机频带中获取磁共振信号。 在相应的采集段组中，从具有不同回旋磁比的不同核获取磁共振信号。 根据本发明，由各个核承载的不同类型的信息的重构成为可能。 例如，基于质子磁共振成像进行被检查患者的解剖结构的成像。 靶向造影剂的成像基于 ^{19F磁共振成像来实现。 侵入性装置（例如导管）的定位也基于例如导管进行。 磁共振成像。}

公开(公告)号：US20060241897A1

公开(公告)日：2006-10-26

申请号：US10554354

申请日：2004-04-22

申请人： Frank Hoogenraad ,  Arianne Margarethe Van Muiswinkel ,  Ronaldus Holthuizen ,  Johan Van Den Brink

发明人： Frank Hoogenraad ,  Arianne Margarethe Van Muiswinkel ,  Ronaldus Holthuizen ,  Johan Van Den Brink

IPC分类号： G06F15/00

CPC分类号： G01R33/56341 ,  G01R33/4806

摘要： A method of deriving a directional structure from an object dataset is proposed. The object dataset assigns local directions to positions in a multidimensional geometrical space. For example the local directions concern local flow directions in a diffusion tensor magnetic resonance image at least one ‘region of interest’ is selected on the basis of spatial functional information, such as an fMRI image, time correlation of an fMRI image series with a functional paradigm or an anatomical image. These ‘region of interest’ are employed to initialize a fibre tracking to derive the directional structure that represents the nervous fibre system.

摘要翻译： 提出了从对象数据集导出定向结构的方法。 对象数据集将本地方向分配给多维几何空间中的位置。 例如，局部方向涉及扩散张量磁共振图像中的局部流动方向，基于空间功能信息来选择至少一个“感兴趣区域”，例如fMRI图像，fMRI图像序列与功能性的时间相关性 范式或解剖图像。 这些“感兴趣的区域”用于初始化光纤跟踪以导出代表神经纤维系统的定向结构。