公开(公告)号：US20110286650A1

公开(公告)日：2011-11-24

申请号：US13133038

申请日：2009-02-10

申请人： Prasun Roy ,  Subramanyam V.P. Rallabandi

发明人： Prasun Roy ,  Subramanyam V.P. Rallabandi

IPC分类号： G06K9/00

CPC分类号： A61B5/055 ,  A61B5/4064 ,  A61B5/4088 ,  A61B5/7264 ,  A61B5/7267 ,  G06T7/0012 ,  G06T7/48 ,  G06T2207/10088 ,  G06T2207/20021 ,  G06T2207/30016

摘要： The invention relates to a fully automated screening, diagnosis and classification technique for Alzheimer's disease using magnetic resonance imaging signals from the ventricular zone contour of the brain to get a fundamental index of brain deterioration comprising the steps: —obtaining a gray scale MRI image of the brain region; —applying a contour edge-detecting algorithm to the image; —employing a grid covering method for calculating a first order metric index of ventricular zone contour; —superimposing metric square grids of increasing edge length to the binary contour image and counting the metric grid squares; —plotting the logs of metric grid squares against the logs of edge lengths, wherein the gradient of the plot is the linear topological metric index.

摘要翻译： 本发明涉及一种使用来自脑的心室区轮廓的磁共振成像信号的阿尔茨海默氏病的全自动化筛选，诊断和分类技术，以获得脑退化的基本指标，包括以下步骤： - 获得灰度级MRI图像 脑区 对图像应用轮廓边缘检测算法; - 采用网格覆盖方法计算心室区轮廓的一阶度量指标; 将二进制轮廓图像增加边缘长度的度量方格网格计数到公制网格正方形; 根据边缘长度的对数绘制度量网格方格的日志，其中曲线的梯度是线性拓扑度量指标。

公开(公告)号：US20120106703A1

公开(公告)日：2012-05-03

申请号：US13133023

申请日：2009-02-10

申请人： Prasun Roy ,  Subhadip Paul

发明人： Prasun Roy ,  Subhadip Paul

IPC分类号： A61N5/10

CPC分类号： A61N5/1042 ,  A61N5/103 ,  A61N5/1084

摘要： This invention relates to a technique to enhance the clinical efficiency of radiotherapy and readiosurgery using perturbative beaming and tissue specific radiobiology, comprising, Considering the normal steady beam dose rate, then increasing the temporal stochastic fluctuation of the output intensity of the radiation beam from a medical linear accelerator or cobalt gamma knife beam setup, developing a computer-based methodology by considering the tumor specific radiobiology and magnitude of the tailor made dose rate fluctuation using an embedded system device consisting of requisite hardware and software as described herein.

摘要翻译： 本发明涉及一种使用扰动射线和组织特异性放射生物学增强放射治疗和放射外科临床效率的技术，包括考虑正常的稳定束剂量率，然后增加来自医疗的辐射束的输出强度的时间随机波动 线性加速器或钴γ刀束设置，通过使用由本文所述的必需硬件和软件组成的嵌入式系统设备考虑肿瘤特异性放射生物学和定制剂量率波动的幅度来开发基于计算机的方法。

公开(公告)号：US08804906B2

公开(公告)日：2014-08-12

申请号：US13133023

申请日：2009-02-10

申请人： Prasun Roy ,  Subhadip Paul

发明人： Prasun Roy ,  Subhadip Paul

IPC分类号： A61N5/10

CPC分类号： A61N5/1042 ,  A61N5/103 ,  A61N5/1084

摘要： This invention relates to a technique to enhance the clinical efficiency of radiotherapy and readiosurgery using perturbative beaming and tissue specific radiobiology, comprising, Considering the normal steady beam dose rate, then increasing the temporal stochastic fluctuation of the output intensity of the radiation beam from a medical linear accelerator or cobalt gamma knife beam setup, developing a computer-based methodology by considering the tumor specific radiobiology and magnitude of the tailor made dose rate fluctuation using an embedded system device consisting of requisite hardware and software as described herein.

摘要翻译： 本发明涉及一种使用扰动射线和组织特异性放射生物学增强放射治疗和放射外科临床效率的技术，包括考虑正常的稳定束剂量率，然后增加来自医疗的辐射束的输出强度的时间随机波动 线性加速器或钴γ刀束设置，通过使用由本文所述的必需硬件和软件组成的嵌入式系统设备考虑肿瘤特异性放射生物学和定制剂量率波动的幅度来开发基于计算机的方法。

公开(公告)号：US08774480B2

公开(公告)日：2014-07-08

申请号：US12992470

申请日：2009-02-10

申请人： Prasun Roy ,  V. P. Subramanyam Rallabandi

发明人： Prasun Roy ,  V. P. Subramanyam Rallabandi

IPC分类号： G06K9/00

CPC分类号： G06T5/008 ,  G06T5/10 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/20076 ,  G06T2207/30096

摘要： A method for medical image enhancement based on image transform resonance. A novel method for Stochastic Resonance of medical image enhancement device based on the Integral Transform of the image, comprising: generating specific types of integral transforms like radon transform for CT, Fourier transform for MRI with image transform component; preparing stochastic perturbation waveform, with perturbator component performing the stochastic resonance on the image transform, with stochastic resonator component; characterizing the image enhancement factor of the SR-processed image with performance monitoring component; adjusting and controlling the bistability parameters of the double-well system that induces stochastic resonance with control component; arranging the provisional display of the array matrix of the SR-enhanced images, as the bistability parameters are varied with matrix display component; subjecting the final image to the step of display with final image display component.

摘要翻译： 一种基于图像变换共振的医学图像增强方法。 一种基于图像积分变换的医学图像增强装置随机共振的新方法，包括：生成特定类型的积分变换，如CT的氡变换，图像变换成分的MRI傅里叶变换; 用随机扰动波形，随机扰动波形，随机扰动波分量，随机谐振分量，对图像变换进行随机共振; 用性能监测部件表征SR处理图像的图像增强因子; 调整和控制双控制系统的双稳态参数，引起控制组件的随机共振; 布置SR增强图像的阵列矩阵的临时显示，因为双稳态参数随矩阵显示分量而变化; 对最终图像进行最终图像显示组件的显示步骤。

公开(公告)号：US08577106B2

公开(公告)日：2013-11-05

申请号：US13133038

申请日：2009-02-10

申请人： Prasun Roy ,  Subramanyam V. P. Rallabandi

发明人： Prasun Roy ,  Subramanyam V. P. Rallabandi

IPC分类号： G06K9/00

CPC分类号： A61B5/055 ,  A61B5/4064 ,  A61B5/4088 ,  A61B5/7264 ,  A61B5/7267 ,  G06T7/0012 ,  G06T7/48 ,  G06T2207/10088 ,  G06T2207/20021 ,  G06T2207/30016

摘要： The invention relates to a fully automated screening, diagnosis and classification technique for Alzheimer's disease using magnetic resonance imaging signals from the ventricular zone contour of the brain to get a fundamental index of brain deterioration comprising the steps: —obtaining a gray scale MRI image of the brain region; —applying a contour edge-detecting algorithm to the image; —employing a grid covering method for calculating a first order metric index of ventricular zone contour; —superimposing metric square grids of increasing edge length to the binary contour image and counting the metric grid squares; —plotting the logs of metric grid squares against the logs of edge lengths, wherein the gradient of the plot is the linear topological metric index.

摘要翻译： 本发明涉及一种使用来自脑的心室区轮廓的磁共振成像信号的阿尔茨海默氏病的全自动化筛选，诊断和分类技术，以获得脑退化的基本指标，包括以下步骤： - 获得灰度级MRI图像 脑区 对图像应用轮廓边缘检测算法; - 采用网格覆盖方法计算心室区轮廓的一阶度量指标; 将二进制轮廓图像增加边缘长度的度量方格网格计数到公制网格正方形; 根据边缘长度的对数绘制度量网格方格的日志，其中曲线的梯度是线性拓扑度量指标。

公开(公告)号：US20110116699A1

公开(公告)日：2011-05-19

申请号：US12992470

申请日：2009-02-10

申请人： Prasun Roy ,  V. P. Subramanyam Rallabandi

发明人： Prasun Roy ,  V. P. Subramanyam Rallabandi

IPC分类号： G06K9/00

CPC分类号： G06T5/008 ,  G06T5/10 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/20076 ,  G06T2207/30096

摘要： A method for medical image enhancement based on image transform resonance A novel method for Stochastic Resonance of medical image enhancement device based on the Integral Transform of the image, comprising: generating specific types of integral transforms like radon transform for CT, Fourier transform for MRI with image transform component; preparing stochastic perturbation waveform, with perturbator component performing the stochastic resonance on the image transform, with stochastic resonator component; characterizing the image enhancement factor of the SR-processed image with performance monitoring component; adjusting and controlling the bistability parameters of the double-well system that induces stochastic resonance with control component; arranging the provisional display of the array matrix of the SR-enhanced images, as the bistability parameters are varied with matrix display component; subjecting the final image to the step of display with final image display component.

摘要翻译： 一种基于图像变换共振的医学图像增强方法基于图像积分变换的医学图像增强装置随机共振的新方法，包括：生成特定类型的积分变换，如氡变换CT，傅立叶变换，MRI 图像变换分量; 用随机扰动波形，随机扰动波形，随机扰动波分量，随机谐振分量，对图像变换进行随机共振; 用性能监测部件表征SR处理图像的图像增强因子; 调整和控制双控制系统的双稳态参数，引起控制组件的随机共振; 布置SR增强图像的阵列矩阵的临时显示，因为双稳态参数随矩阵显示分量而变化; 对最终图像进行最终图像显示组件的显示步骤。