公开(公告)号：US5309100A

公开(公告)日：1994-05-03

申请号：US968754

申请日：1992-10-30

申请人： Samuel M. Song ,  Sandy A. Napel ,  Norbert J. Pelc

发明人： Samuel M. Song ,  Sandy A. Napel ,  Norbert J. Pelc

IPC分类号： G01F1/716 ,  G01P5/00 ,  G01R33/56 ,  G01R33/563 ,  G01R33/20

CPC分类号： G01R33/56316 ,  G01F1/716 ,  G01P5/001

摘要： A method and apparatus to reduce the noise in three-dimensional phase contrast magnetic resonance velocity measurements exploits the property that blood is incompressible and therefore the velocity field describing its flow must be divergence-free. The divergence-free condition can be incorporated by the projection operation on Hilbert space where the velocity measurements are projected onto the space of divergence-free velocity fields. The reduction of noise is achieved since the projection operation eliminates the noise component that is not divergence-free. Higher quality angiograms are produced due to the noise reduction in the velocity measurement signals.

摘要翻译： 降低三维相位对比磁共振速度测量中的噪声的方法和装置利用血液不可压缩的特性，因此描述其流动的速度场必须是无差异的。 通过在希尔伯特（Hilbert）空间上的投影操作可以将无差异条件并入，其中速度测量被投影到无发散速度场的空间上。 实现了噪声的降低，因为投影操作消除了不分散的噪声分量。 由于速度测量信号中的噪声降低，产生了较高质量的血管造影。

公开(公告)号：US20130006598A1

公开(公告)日：2013-01-03

申请号：US13608766

申请日：2012-09-10

申请人： Eugene J. Alexander ,  Thomas P. Andriacchi ,  Philipp Lang ,  Sandy A. Napel

发明人： Eugene J. Alexander ,  Thomas P. Andriacchi ,  Philipp Lang ,  Sandy A. Napel

IPC分类号： G06G7/60

CPC分类号： A61B5/4514 ,  A61B5/055 ,  A61B5/1114 ,  A61B5/112 ,  A61B5/1121 ,  A61B5/1127 ,  A61B5/4528 ,  A61B5/7275

摘要： Methods are disclosed for assessing the condition of a cartilage in a joint, particularly a human knee. The methods include converting an image such as an MRI to a three dimensional map of the cartilage. The cartilage map can be correlated to a movement pattern of the joint to assess the affect of movement on cartilage wear. Changes in the thickness of cartilage over time can be determined so that therapies can be provided. Information on thickness of cartilage and curvature of cartilage or subchondral bone can be used to plan therapy. Information on movement pattern can be used to plan therapy.

公开(公告)号：US07616800B2

公开(公告)日：2009-11-10

申请号：US11666202

申请日：2005-11-08

申请人： David S. Paik ,  Padmavathi Sundaram ,  Christopher F. Beaulieu ,  Sandy A. Napel

发明人： David S. Paik ,  Padmavathi Sundaram ,  Christopher F. Beaulieu ,  Sandy A. Napel

IPC分类号： G06T17/40

CPC分类号： G06T19/00 ,  G06K9/00214 ,  G06T2210/41 ,  G16H50/50

摘要： A method of identifying polyps and in a medical image is provided. In a first step, a 3-dimensional model is made of the medical image that contains both polyps (if any were present in the original medical image) and folds. Next, a second 3-dimensional model of the medical image, which is a filtered version of the first model, is constructed in which folds are preserved, but polyps are minimized or eliminated. In a third step, any polyps that were contained in the medical image are identified by subtracting the second 3-dimensional model from the first 3-dimensional model. This subtraction results in a third 3-dimensional model, in which polyps are preserved but folds are minimized or eliminated. With the present inventive method, polyps may be easily and quickly identified without interference from folds.

摘要翻译： 提供了一种识别息肉和医学图像的方法。 在第一步中，三维模型由包含息肉（如果存在于原始医学图像中）和折叠的医学图像构成。 接下来，构建作为第一模型的过滤版本的医学图像的第二三维模型，其中保留折叠，但是息肉被最小化或消除。 在第三步骤中，通过从第一个3维模型中减去第二个三维模型来识别包含在医学图像中的任何息肉。 该减法产生第三个三维模型，其中保留息肉，但折叠被最小化或消除。 利用本发明的方法，可以容易且快速地识别息肉而不受折叠的干扰。

公开(公告)号：US20080205749A1

公开(公告)日：2008-08-28

申请号：US11893366

申请日：2007-08-14

申请人： Padmavathi Sundaram ,  Sandy A. Napel ,  Christopher F. Beaulieu ,  Afra J. Zomorodlan

发明人： Padmavathi Sundaram ,  Sandy A. Napel ,  Christopher F. Beaulieu ,  Afra J. Zomorodlan

IPC分类号： G06K9/00

CPC分类号： G06K9/00201 ,  G06K2209/05

摘要： Improved surface feature recognition in CT images is provided by extracting a triangulated mesh representation of the surface of interest. Shape operators are computed at each vertex of the mesh from finite differences of vertex normals. The shape operators at each vertex are smoothed according to an iterative weighted averaging procedure. Principal curvatures at each vertex are computed from the smoothed shape operators. Vertices are marked as maxima and/or minima according to the signs of the principal curvatures. Vertices marked as having the same feature type are clustered together by adjacency on the mesh to provide candidate patches. Feature scores are computed for each candidate patch and the scores are provided as output to a user or for further processing.

摘要翻译： 通过提取感兴趣的表面的三角网格表示来提供CT图像中改进的表面特征识别。 由顶点法线的有限差异，在网格的每个顶点计算形状运算符。 每个顶点的形状运算符根据迭代加权平均过程进行平滑处理。 从平滑的形状算子计算每个顶点的主曲率。 顶点根据主曲率的符号被标记为最大值和/或最小值。 标记为具有相同特征类型的顶点通过网格上的邻接聚类在一起，以提供候选补丁。 为每个候选补丁计算特征得分，并将得分作为输出提供给用户或用于进一步处理。

公开(公告)号：US07330576B2

公开(公告)日：2008-02-12

申请号：US11003937

申请日：2004-12-02

申请人： Raghav Raman ,  Bhargav Raman ,  Sandy A. Napel ,  Geoffrey D. Rubin

发明人： Raghav Raman ,  Bhargav Raman ,  Sandy A. Napel ,  Geoffrey D. Rubin

IPC分类号： G06K9/00

CPC分类号： G06T7/0012 ,  G06T2200/24 ,  G06T2207/10081 ,  G06T2207/30101

摘要： A method that allows the quantification of the true mass of a calcium fragment located along a vessel is provided. The method is independent of the level of arterial contrast enhancement, does not require protocol-specific or scanner-specific calibration scans, and allows a detailed analysis of calcium distribution patterns. For each identified calcium fragment, the average intensity and volume is determined as a function of a plurality of intensity thresholds. Using these determined values brightness volume products are calculated for each of the plurality of intensity thresholds. The mass of a calcium segment is subsequently obtained from the calculated brightness volume products extrapolated at zero intensity and reference calcium parameters. The mass and volume of the calcium fragments could be visualized with respect to a vessel in a computer display.

摘要翻译： 提供了允许定量沿着血管的钙片段的真实质量的方法。 该方法与动脉造影增强水平无关，不需要协议特异性或扫描仪特异性校准扫描，并且可以详细分析钙分布模式。 对于每个确定的钙片段，平均强度和体积被确定为多个强度阈值的函数。 使用这些确定的值，对于多个强度阈值中的每一个计算亮度体积积。 随后从计算的在零强度外推的亮度体积乘积和参考钙参数获得钙段的质量。 相对于计算机显示器中的血管，钙碎片的质量和体积可以被可视化。

公开(公告)号：US07324675B2

公开(公告)日：2008-01-29

申请号：US10722851

申请日：2003-11-26

申请人： Raghav Raman ,  Sandy A. Napel ,  Geoffrey D. Rubin

发明人： Raghav Raman ,  Sandy A. Napel ,  Geoffrey D. Rubin

IPC分类号： G06K9/00 ,  A61F2/06 ,  A61B5/05

CPC分类号： G06T7/0012 ,  A61B5/02007 ,  A61B5/1076 ,  A61B6/481 ,  A61B6/504 ,  A61B6/583 ,  G06T7/12 ,  G06T7/62 ,  G06T2207/10081 ,  G06T2207/20101 ,  G06T2207/30101 ,  G16H50/50

摘要： A method to quantify the radial endoluminal irregularity of aortoiliac arteries is provided. Radial endoluminal outlines of a vessel of interest are determined. The cross sectional area is determined for the area outlined by each endoluminal outline. Using this cross sectional area a shape is selected that has substantially the same area as the endoluminal outline. Subsequently, the shape is fitted to the endoluminal outline. In one aspect, the irregularity index is calculated as the ratio of the endoluminal outline and the outline of the fitted shape. In another aspect, the irregularity index is calculated as the ratio of at least a part of the endoluminal outline and the outline of the fitted shape that corresponds to the same part of the endoluminal outline. The irregularity index is visualized using a color scheme, a range of numbers, or a set of labels.

摘要翻译： 提供了一种量化大肠动脉的径向腔内不规则性的方法。 确定感兴趣的血管的径向腔内轮廓。 确定每个腔内轮廓所示区域的横截面面积。 使用该横截面积选择具有与内腔轮廓基本相同的面积的形状。 随后，将形状装配到内腔轮廓上。 在一个方面，不规则指数被计算为内腔轮廓与拟合形状的轮廓的比率。 在另一方面，不规则性指数被计算为内腔轮廓的至少一部分与拟合形状的轮廓对应于内腔轮廓的相同部分的比率。 使用配色方案，数量范围或一组标签可视化不规则性索引。

公开(公告)号：US07657073B2

公开(公告)日：2010-02-02

申请号：US11791393

申请日：2005-10-05

申请人： Shaohua Sun ,  Sandy A. Napel

发明人： Shaohua Sun ,  Sandy A. Napel

IPC分类号： G06K9/00

CPC分类号： G06T7/20 ,  G06T7/35 ,  G06T2207/30061

摘要： A nodule registration system useful for tracking lung nodules in computed tomography (CT) scans is presented. The system registers a small sphere centered on a detected nodule in one scan with another scan under a rigid transformation assumption using a fast registration scheme. The registration scheme employs very fast simulated annealing (VFSA) with constraints to maximize a tunable cross-correlation (TCC) coefficient, enabling the system to register, with minimal registration error, all nodules within their maximum diameter. The system achieves an average registration time of 10 seconds or less on a 3.06 GHz computer programmed to implement the present invention.

摘要翻译： 提出了一种用于跟踪计算机断层扫描（CT）扫描中的肺结节的结节注册系统。 系统使用快速注册方案，在刚性变换假设下，使用另一次扫描，在一次扫描中以检测到的结节为中心的小球体。 注册方案采用非常快速的模拟退火（VFSA），具有约束，以最大化可调互相关（TCC）系数，使系统能够以最小的注册误差注册其最大直径内的所有结节。 该系统在实施本发明的3.06GHz计算机上实现10秒或更短的平均注册时间。

公开(公告)号：US07379574B2

公开(公告)日：2008-05-27

申请号：US11004630

申请日：2004-12-02

申请人： Raghav Raman ,  Bhargav Raman ,  Sandy A. Napel ,  Geoffrey D. Rubin

发明人： Raghav Raman ,  Bhargav Raman ,  Sandy A. Napel ,  Geoffrey D. Rubin

IPC分类号： G06K9/00 ,  A61F2/06 ,  A61B5/05

CPC分类号： A61B5/02007 ,  A61B5/1076 ,  A61B6/481 ,  A61B6/504

摘要： A method to quantify the vascular irregularity of aortoiliac arteries is provided. Inner wall and/or outer wall outlines of a vessel of interest are determined. The cross sectional area is determined for the area outlined by each outline. Using this cross sectional area a shape is selected that has substantially the same area as the outline. Subsequently, the shape is fitted to the outline. In one aspect, the irregularity index is calculated as the ratio of the outline and the outline of the fitted shape. In another aspect, the irregularity index is calculated as the ratio of at least a part of the outline and the outline of the fitted shape that corresponds to the same part of the outline. The irregularity index is visualized using a color scheme, a range of numbers, or a set of labels.

摘要翻译： 提供了定量主动脉导管血管不规则性的方法。 确定感兴趣的血管的内壁和/或外墙轮廓。 确定每个轮廓所示区域的横截面面积。 使用该横截面积选择具有与轮廓基本相同的面积的形状。 随后，将形状装配到轮廓上。 在一个方面，不规则性指数被计算为轮廓和拟合形状的轮廓的比率。 在另一方面，不规则性指数被计算为轮廓的至少一部分与拟合形状的轮廓对应于轮廓的相同部分的比率。 使用配色方案，数量范围或一组标签可视化不规则性索引。

公开(公告)号：US20080089569A1

公开(公告)日：2008-04-17

申请号：US11664759

申请日：2005-10-14

申请人： Padmavathi Sundaram ,  Daved S. Paik ,  Eftychis Sifakis ,  Christopher F. Beaulieu ,  Ron Fedkiw ,  Sandy A. Napel

发明人： Padmavathi Sundaram ,  Daved S. Paik ,  Eftychis Sifakis ,  Christopher F. Beaulieu ,  Ron Fedkiw ,  Sandy A. Napel

IPC分类号： G06K9/00

CPC分类号： G06T7/0012 ,  G06T19/20 ,  G06T2207/30028 ,  G06T2210/41 ,  G06T2219/021

摘要： A method of selectively removing folds in a medical image is provided. With this method, a medical image is deformed to straighten and flatten folds but not polyps, thus allowing polyps to be identified. In a first step, a 3-dimensional deformable model of the medical image is constructed. This model is set to have a high Young's modulus and a low Poisson's ratio. In a preferred embodiment, the model is a continuum surface model, preferably a quasistatic continuum finite element model. Once the model has been constructed, it is deformed such that folds are removed but polyps remain, allowing polyps to be identified.

摘要翻译： 提供了选择性地去除医学图像中的褶皱的方法。 利用这种方法，医学图像变形以使折叠变平且不折叠，从而允许识别息肉。 在第一步中，构建医学图像的3维可变形模型。 该模型设计为具有较高的杨氏模量和较低的泊松比。 在优选实施例中，该模型是连续表面模型，优选地是准静态连续体有限元模型。 一旦模型已经构造，它被变形使得折叠被去除但息肉保留，从而允许识别息肉。

公开(公告)号：US07346209B2

公开(公告)日：2008-03-18

申请号：US10676839

申请日：2003-09-30

申请人： Salih B. Gokturk ,  Carlo Tomasi ,  Acar Burak ,  Christopher F. Beaulieu ,  Sandy A. Napel ,  David S. Paik

发明人： Salih B. Gokturk ,  Carlo Tomasi ,  Acar Burak ,  Christopher F. Beaulieu ,  Sandy A. Napel ,  David S. Paik

IPC分类号： G06K9/62

CPC分类号： G06K9/4609 ,  G06K9/4647 ,  G06K2209/05 ,  G06T7/0012 ,  G06T2207/30028

摘要： A detection and classification method of a shape in a medical image is provided. It is based on generating a plurality of 2-D sections through a 3-D volume in the medical image. In general, there are two steps. The first step is feature estimation to generate shape signatures for candidate volumes containing candidate shapes. The feature estimation method computes descriptors of objects or of their images. The second general step involves classification of these shape signatures for diagnosis. A classifier contains, builds and/or trains a database of descriptors for previously seen shapes, and then maps descriptors of novel images to categories corresponding to previously seen shapes or classes of shapes.

摘要翻译： 提供了医疗图像中的形状的检测和分类方法。 它基于在医学图像中通过3-D体积产生多个2-D部分。 一般来说，有两个步骤。 第一步是为包含候选形状的候选卷生成形状签名的特征估计。 特征估计方法计算对象或其图像的描述符。 第二个一般步骤包括对这些形状特征进行分类以进行诊断。 分类器包含，构建和/或训练先前看到的形状的描述符数据库，然后将新颖图像的描述符映射到与以前看到的形状或类别形状对应的类别。