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1. 发明授权

US07831097B2 System and method for image reconstruction 有权
标题翻译：图像重建系统和方法
公开(公告)号：US07831097B2
公开(公告)日：2010-11-09
申请号：US11682013
申请日：2007-03-05
申请人： Yunqiang Chen , Lin Cheng , Tong Fang , Jason Jenn-Kwei Tyan
发明人： Yunqiang Chen , Lin Cheng , Tong Fang , Jason Jenn-Kwei Tyan
IPC分类号： G06K9/46 , G06K9/00 , G06K9/36
CPC分类号： G01N23/046 , G01N2223/419 , G06T11/006 , G06T2211/421 , G06T2211/424
摘要： A system and method for image reconstruction is disclosed. The method divides iterative image reconstruction into two stages, in the image and Radon space, respectively. In the first stage, filtered back projection and adaptive filtering in the image space are combined to generate a refined reconstructed image of a sinogram residue. This reconstructed image represents an update direction in the image space. In the second stage, the update direction is transformed to the Radon space, and a step size is determined to minimize a difference between the sinogram residue and a Radon transform of the refined reconstructed image of the sinogram residue in the Radon space. These stages are repeated iteratively until the solution converges.
摘要翻译：公开了一种用于图像重建的系统和方法。该方法分别在图像和氡空间中将迭代图像重建分为两个阶段。在第一阶段，滤波反投影和图像空间中的自适应滤波被组合以产生正弦图残差的精细重建图像。该重建图像表示图像空间中的更新方向。在第二阶段中，将更新方向转换为Radon空间，并且确定步长以最小化Radon空间中的正弦图残差的精细重建图像的正弦图残差和Radon变换之间的差异。迭代重复这些阶段，直到解得到收敛。

2. 发明授权

US08139891B2 System and method for structure enhancement and noise reduction in medical images 失效
标题翻译：医学图像中结构增强和降噪的系统和方法
公开(公告)号：US08139891B2
公开(公告)日：2012-03-20
申请号：US11926877
申请日：2007-10-29
申请人： Ti-chiun Chang , Yunqiang Chen , Tong Fang , Jason Jenn-Kwei Tyan , Gregory G. Slabaugh
发明人： Ti-chiun Chang , Yunqiang Chen , Tong Fang , Jason Jenn-Kwei Tyan , Gregory G. Slabaugh
IPC分类号： G06K9/46 , G06K9/66 , G06K9/40 , G06K9/64 , G06K9/36 , G06K9/20 , G06K1/00 , H04N5/228 , H04N7/01 , H04N11/20 , H04N1/40 , G06F15/00 , G03F3/08
CPC分类号： G06K9/40 , G06T5/002 , G06T5/008 , G06T5/20 , G06T2207/10072 , G06T2207/20016 , G06T2207/20028 , G06T2207/30101
摘要： A method and system for structure enhancement and noise reduction of medical images using adaptive filtering is disclosed. The method utilizes feature estimation methods to determine multiple feature values for each pixel in an input image. Each pixel is then filtered using a filter type selected based on the feature values for that pixel.
摘要翻译：公开了一种使用自适应滤波的医学图像的结构增强和降噪的方法和系统。该方法利用特征估计方法来确定输入图像中每个像素的多个特征值。然后使用基于该像素的特征值选择的滤波器类型来过滤每个像素。

3. 发明授权

US07684643B2 Mutual information regularized Bayesian framework for multiple image restoration 失效
标题翻译：相互信息正则化贝叶斯框架用于多个图像恢复
公开(公告)号：US07684643B2
公开(公告)日：2010-03-23
申请号：US11252334
申请日：2005-10-17
申请人： Yunqiang Chen , Hongcheng Wang , Tong Fang , Jason Jenn-Kwei Tyan
发明人： Yunqiang Chen , Hongcheng Wang , Tong Fang , Jason Jenn-Kwei Tyan
IPC分类号： H04N1/38 , G06K9/40 , G06K9/62 , H03M7/00 , G06F19/00
CPC分类号： G06T5/002 , G06T5/20 , G06T5/50 , G06T2207/10132 , G06T2207/20076 , G06T2207/20192 , G06T2207/30004
摘要： A method for multiple image restoration includes receiving a plurality of images corrupted by noise, and initializing a reduced noise estimate of the plurality of images. The method further includes estimating a probability of distributions of noise around each pixel and the probability of the signal, estimating mutual information between noise on the plurality of images based on the probabilities of distributions of noise around each pixel and the joint distribution of noise, and updating each pixel within a search range to determine a restored image by reducing the mutual information between the noise on the plurality of images.
摘要翻译：一种用于多重图像恢复的方法包括：接收由噪声破坏的多个图像，以及初始化所述多个图像的降低的噪声估计。该方法还包括估计每个像素周围的噪声分布概率和信号的概率，基于每个像素周围的噪声分布的概率和噪声的联合分布来估计多个图像上的噪声之间的相互信息;以及更新搜索范围内的每个像素以通过减少多个图像上的噪声之间的相互信息来确定恢复的图像。

4. 发明授权

US07508968B2 Image compounding based on independent noise constraint 失效
标题翻译：基于独立噪声约束的图像复合
公开(公告)号：US07508968B2
公开(公告)日：2009-03-24
申请号：US11229106
申请日：2005-09-16
申请人： Yunqiang Chen , Hongcheng Wang , Tong Fang , Jason Jenn-Kwei Tyan
发明人： Yunqiang Chen , Hongcheng Wang , Tong Fang , Jason Jenn-Kwei Tyan
IPC分类号： G06K9/00 , G06K9/40 , G06K9/36
CPC分类号： G06T5/002 , G06T5/50 , G06T2207/10081 , G06T2207/10132 , G06T2207/20076 , G06T2207/20192 , G06T2207/30004
摘要： A method and system for improving image quality by compounding a plurality of images to mitigate the effects of image noise. The method utilizes the independency between noise components for multiple image compounding. An effective measurement is designed to regularize the independency between noise in a traditional generative model based filtering framework, thereby enabling a more robust algorithmic solution to inaccurate signal/noise modeling. The method generally comprises selecting a plurality of images, calculating the residual error on each image; calculating the noise likelihood of each image, calculating the signal likelihood of the image, performing an independence analysis to regularize an independence constraint between the residual errors of the images, and summing the signal likelihood, noise likelihood and pairwise independency to approximate the joint independency between the residual errors.
摘要翻译：一种用于通过复合多个图像来减轻图像噪声的影响来提高图像质量的方法和系统。该方法利用多重图像复合的噪声分量之间的独立性。设计了一种有效的测量方法来规范传统的基于生成模型的滤波框架中的噪声之间的独立性，从而实现了更为鲁棒的算法解决方案，使信号/噪声建模不准确。该方法通常包括选择多个图像，计算每个图像上的残差; 计算每个图像的噪声可能性，计算图像的信号可能性，执行独立性分析以使图像的残差误差之间的独立性约束正规化，并且将信号似然性，噪声似然性和成对独立性相加以近似于剩余错误。

5. 发明授权

US07529422B2 Gradient-based image restoration and enhancement 失效
标题翻译：基于梯度的图像恢复和增强
公开(公告)号：US07529422B2
公开(公告)日：2009-05-05
申请号：US11231435
申请日：2005-09-20
申请人： Hongcheng Wang , Yunqiang Chen , Tong Fang , Jason Jenn-Kwei Tyan
发明人： Hongcheng Wang , Yunqiang Chen , Tong Fang , Jason Jenn-Kwei Tyan
IPC分类号： G06K9/40
CPC分类号： G06K9/40 , G06T5/002 , G06T5/003 , G06T5/20 , G06T2207/20192 , G06T2207/30004
摘要： A gradient-based image enhancement and restoration method and system which applies an orientation-isotropy adaptive filter to the gradients of high structured regions, and directly suppresses the gradients in the noise or texture regions. A new gradient field is obtained from which image reconstruction can progress using least mean squares. The method generally comprises: inputting image data; calculating image gradients; defining the gradients as having large or small coherence; filtering the large coherence gradients for edge enhancement; suppressing the small coherence gradients for noise reduction; assembling an enhanced gradient field from the filtered large coherence and suppressed small coherence gradients; and optimizing the assembled gradient field into a restored image.
摘要翻译：一种基于梯度的图像增强和恢复方法和系统，其对高结构区域的梯度应用方向 - 各向同性自适应滤波器，并且直接抑制噪声或纹理区域中的梯度。获得一个新的梯度场，从该图像重建可以使用最小均方进行。该方法通常包括：输入图像数据; 计算图像梯度; 将梯度定义为具有大或小的一致性; 过滤大的相干梯度进行边缘增强; 抑制噪声降低的小相干梯度; 从滤波后的大相干和抑制小相干梯度组装增强梯度场; 并将组装的梯度场优化为恢复的图像。

6. 发明授权

US07801708B2 Method and apparatus for the rigid and non-rigid registration of 3D shapes 有权
标题翻译： 3D形状的刚性和非刚性配准的方法和装置
公开(公告)号：US07801708B2
公开(公告)日：2010-09-21
申请号：US11462834
申请日：2006-08-07
申请人： Gozde Unal , Gregory G. Slabaugh , Tong Fang , Jason Jenn-Kwei Tyan
发明人： Gozde Unal , Gregory G. Slabaugh , Tong Fang , Jason Jenn-Kwei Tyan
IPC分类号： G06F7/60 , G06K9/00 , G06T15/00
CPC分类号： G06K9/00214 , G06T7/30 , G06T19/00 , G06T2207/30004 , H04R25/652 , H04R25/658 , H04R2225/77
摘要： A method for registering two three-dimensional shapes is disclosed whereby the two shapes are represented as zero level set of signed distance functions and the energy between these two functions is minimized. In a first embodiment, two undetailed ear impression models are rigidly registered with each other. In another embodiment, a detailed ear impression is initially aligned with an undetailed ear impression model and, then, the detailed ear impression model is rigidly registered with the undetailed ear impression model as a function of the signed distance functions. In accordance with another embodiment, an undetailed ear impression model is non-rigidly registered with a template ear impression model as a function of the signed distance functions.
摘要翻译：公开了一种用于记录两个三维形状的方法，其中两个形状被表示为有限距离函数的零级集合，并且这两个函数之间的能量被最小化。在第一实施例中，两个不详细的耳朵印象模型彼此刚性地对齐。在另一个实施例中，详细的耳朵印象最初与未详细的耳朵印象模型对准，然后，详细的耳朵印象模型与未签名的耳朵印象模型刚性地记录为有符号距离函数的函数。根据另一个实施例，根据签名的距离函数，未详细地将耳朵印象模型与模板耳朵印象模型非刚性地对齐。

7. 发明授权

US07286679B2 Automatic binaural shell modeling for hearing aids 有权
标题翻译：用于助听器的自动双耳壳建模
公开(公告)号：US07286679B2
公开(公告)日：2007-10-23
申请号：US10739732
申请日：2003-12-18
申请人： Tong Fang , Jason Jenn-Kwei Tyan , Ming Fang
发明人： Tong Fang , Jason Jenn-Kwei Tyan , Ming Fang
IPC分类号： H04R25/00
CPC分类号： H04R25/658 , B33Y80/00 , H04R25/552 , H04R25/652 , H04R2225/77 , Y10T29/49572
摘要： A system and method for modeling binaural shells for hearing aids, wherein the system is configured to load data associated with a first and a second ear shell. The system is further configured to register the data associated with the first and the second ear shells and process the first ear shell and the second ear shells, wherein the processing on the first ear shell is automatically performed on the second ear shell.
摘要翻译：一种用于对用于助听器的双耳壳进行建模的系统和方法，其中所述系统被配置为加载与第一耳壳和第二耳壳相关联的数据。该系统还被配置为登记与第一耳壳和第二耳壳相关联的数据并处理第一耳壳和第二耳壳，其中在第二耳壳上自动执行对第一耳壳的处理。

8. 发明授权

US07084870B2 Interactive binaural shell modeling for hearing aids 有权
标题翻译：用于助听器的互动双耳壳建模
公开(公告)号：US07084870B2
公开(公告)日：2006-08-01
申请号：US10739733
申请日：2003-12-18
申请人： Tong Fang , Jason Jenn-Kwei Tyan , Ming Fang
发明人： Tong Fang , Jason Jenn-Kwei Tyan , Ming Fang
IPC分类号： G06T17/00
CPC分类号： H04R25/658 , B29C64/00 , B33Y80/00 , H04R25/552 , H04R25/652 , H04R2225/77
摘要： A system and method for modeling binaural shells for hearing aids, wherein the system is configured to load data associated with a first and a second ear shell. The system is further configured to register the data associated with the first and the second ear shells and process the first ear shell. The system is also configured to store data associated with processing the first ear shell and then map the data associated with processing the first ear shell to the second ear shell. Subsequently, the mapped second ear shell is interactively adjusted by an operator to compensate for an inconsistency in the mapped second ear shell.
摘要翻译：一种用于对用于助听器的双耳壳进行建模的系统和方法，其中所述系统被配置为加载与第一耳壳和第二耳壳相关联的数据。该系统还被配置为登记与第一和第二耳壳相关联的数据并处理第一耳壳。该系统还被配置为存储与处理第一耳壳相关联的数据，然后将与将第一耳壳处理相关联的数据映射到第二耳壳。随后，映射的第二耳壳由操作者交互地调整以补偿映射的第二耳壳中的不一致。

9. 发明授权

US08086427B2 Method and apparatus for the registration of 3D ear impression models 失效
标题翻译：用于注册3D耳朵印象模型的方法和装置
公开(公告)号：US08086427B2
公开(公告)日：2011-12-27
申请号：US11462804
申请日：2006-08-07
申请人： Tong Fang , Gozde Unal , Fred McBagonluri , Alexander Zouhar , Hui Xie , Gregory G. Slabaugh , Jason Jenn-Kwei Tyan
发明人： Tong Fang , Gozde Unal , Fred McBagonluri , Alexander Zouhar , Hui Xie , Gregory G. Slabaugh , Jason Jenn-Kwei Tyan
IPC分类号： G06F7/60 , G06K9/00 , G06T15/00
CPC分类号： H04R25/652 , H04R25/658 , H04R25/70 , H04R2225/77
摘要： A method of designing hearing aid molds is disclosed whereby two shapes corresponding to graphical images of ear impressions are registered with each other to facilitate joint processing of the hearing aid design. In a first embodiment, a first graphical representation of a first ear impression is received and a feature, such as the aperture of the ear impression, is identified on that graphical model. A first vector is generated that represents the orientation and shape of that first feature. The three-dimensional translation and rotation of that first vector are determined that are necessary to align the first vector with a second vector representing the orientation and a shape of a feature, once again such as the aperture, of a second ear impression. In another embodiment, this alignment is then refined by minimizing the sum of the distances between points on the first and second graphical representations.
摘要翻译：公开了一种设计助听器模具的方法，其中对应于耳朵印象的图形图像的两个形状彼此对准以便于助听器设计的联合处理。在第一实施例中，接收第一耳朵印象的第一图形表示，并且在该图形模型上识别诸如耳朵印象的孔的特征。生成表示该第一特征的取向和形状的第一向量。确定该第一矢量的三维平移和旋转是必要的，以使第一矢量与代表第二耳朵印象的特征的取向和形状的第二矢量（例如孔）对齐。在另一个实施例中，然后通过最小化第一和第二图形表示上的点之间的距离之和来改进该对准。

10. 发明授权

US07979244B2 Method and apparatus for aperture detection of 3D hearing aid shells 失效
标题翻译：三维助听器孔径检测方法和装置
公开(公告)号：US07979244B2
公开(公告)日：2011-07-12
申请号：US11462869
申请日：2006-08-07
申请人： Tong Fang , Alexander Zouhar , Gozde Unal , Gregory G. Slabaugh , Jason Jenn-Kwei Tyan , Fred McBagonluri
发明人： Tong Fang , Alexander Zouhar , Gozde Unal , Gregory G. Slabaugh , Jason Jenn-Kwei Tyan , Fred McBagonluri
IPC分类号： G06F7/60 , G06K9/00 , G06T15/00
CPC分类号： G06K9/6211 , G06K9/00214 , G06T7/33 , G06T17/00 , G06T19/00 , G06T2207/10028 , G06T2207/30004 , G06T2219/008 , H04R25/652 , H04R25/658 , H04R2225/77
摘要： A method identifying apertures of ear impressions is disclosed. A plurality of contour lines associated with an ear impression are determined and a difference value between a value of a characteristic, such as the diameter, of each contour line and that characteristic of an adjacent contour line is determined. The aperture is identified as being that contour line having the greatest difference value. The contour lines are determined by identifying where a plane intersects the surface of the graphical representations. In another embodiment, the contour lines are assigned a weight. A contour index is then calculated for each contour line as a function of the difference value and these weights. According to this embodiment, the aperture is identified as being a contour line that is adjacent to that contour line having the greatest contour index.
摘要翻译：公开了一种识别耳朵印象孔径的方法。确定与耳朵印象相关联的多个轮廓线，并且确定每个轮廓线的特征值（例如直径）与相邻轮廓线的特征值之间的差值。孔径被识别为具有最大差值的轮廓线。通过识别平面与图形表示的表面相交的位置来确定轮廓线。在另一个实施例中，轮廓线被分配一个重量。然后针对每个轮廓线计算轮廓索引作为差值和这些权重的函数。根据该实施例，孔径被识别为与具有最大轮廓索引的轮廓线相邻的轮廓线。

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