公开(公告)号：US08488857B2

公开(公告)日：2013-07-16

申请号：US12529195

申请日：2008-02-14

申请人： Stewart M. Young ,  Michael Kuhn ,  Fabian Wenzel ,  Ingwer C. Carlsen ,  Kirsten Meetz ,  Ralph Buchert

发明人： Stewart M. Young ,  Michael Kuhn ,  Fabian Wenzel ,  Ingwer C. Carlsen ,  Kirsten Meetz ,  Ralph Buchert

IPC分类号： G06K9/00 ,  G06K9/62 ,  A61B5/02

CPC分类号： A61B6/5247 ,  A61B5/0035 ,  A61B5/055 ,  A61B5/4088 ,  A61B6/037 ,  A61B6/507

摘要： A scanner (10) is used to provide images for automated diagnoses of neurodegenerative diseases, such as Alzheimers disease. The images are registered (90) to a template (78). The aligned image is analyzed (60) in relation to reference image data (76, 80) which has been registered to the template which is contained in a knowledge maintenance engine (70) for similar patterns of hypo-intensity that would indicate (in the case of an FDG tracer) reduced glucose uptake in the brain. The most appropriate reference images for the analysis of the present study are chosen by a filter (74). The present study is then given a dementia score (84) as a diagnostic feature vector that indicates to a clinician the type and severity of the ailment based on the analysis. The scanner (10) can produce PET or other metabolic and MR images for diagnosis. The MR can be used to measure blood flow rate into the brain. From the blood flow rate and the metabolic image, tracer, e.g. FDG, uptake maps can be generated for use in the automated diagnoses.

摘要翻译： 扫描仪（10）用于提供自动诊断神经变性疾病如阿尔茨海默病的图像。 将图像（90）注册到模板（78）。 对已经注册到包含在知识维护引擎（70）中的模板的参考图像数据（76,80）进行对准的图像的分析（60），用于类似的低强度模式，其将指示（在 FDG示踪剂的情况）降低了脑中的葡萄糖摄取。 用于本研究分析的最合适的参考图像由滤波器（74）选择。 然后，本研究给予痴呆评分（84）作为诊断特征向量，其基于分析向临床医生指示疾病的类型和严重程度。 扫描仪（10）可以产生PET或其他代谢和MR图像进行诊断。 MR可用于测量进入脑部的血液流量。 从血流速度和代谢图像，示踪剂，例如， 可以生成FDG，摄影图可用于自动诊断。

公开(公告)号：US08423118B2

公开(公告)日：2013-04-16

申请号：US12665783

申请日：2008-05-27

申请人： Fabian Wenzel ,  Stewart Young ,  Torjoern Vik ,  Frank O. Thiele ,  Ralph Buchert

发明人： Fabian Wenzel ,  Stewart Young ,  Torjoern Vik ,  Frank O. Thiele ,  Ralph Buchert

IPC分类号： A61B5/00

CPC分类号： G06T7/0012 ,  G06T2200/24 ,  G06T2207/10104 ,  G06T2207/20092 ,  G06T2207/30016

摘要： When detecting and classifying hypo-metabolic regions in the brain to facilitate dementia diagnosis, a patient's brain scan image, generated using an FDG-PET scan, is compared to a plurality of hypo-metabolic region patterns in brain scan images associated with a plurality of types of dementia. In a fully automated mode, the patient's scan is compared to all scans stored in a knowledge base, and a type of dementia associated with a most likely match is output to a user along with a highlighted image of the patient' s brain. In a semi-automated mode, a user specifies two or more types of dementia, and the patient's scan is compared to scans typical of the specified types. Diagnosis information including respective likelihoods for each type is then output to the user. Additionally, the user can adjust a threshold significance level to increase or decrease a number of voxels that are included in hypo-metabolic regions highlighted in the patient' brain scan image.

摘要翻译： 当检测和分类大脑中的低代谢区域以促进痴呆诊断时，将使用FDG-PET扫描产生的患者的脑扫描图像与多个相关联的脑扫描图像中的多个低代谢区域模式进行比较 痴呆症类型。 在完全自动化模式下，将患者的扫描与存储在知识库中的所有扫描进行比较，并将与最可能匹配的类型的痴呆一起输出到患者大脑的突出显示的图像。 在半自动模式下，用户指定两种或更多种类型的痴呆，并将患者的扫描与特定类型的典型扫描进行比较。 然后，向用户输出包括各种类型的各自可能性的诊断信息。 此外，用户可以调整阈值显着性水平以增加或减少患者脑扫描图像中突出显示的次代谢区域中包含的体素数量。

公开(公告)号：US20100179415A1

公开(公告)日：2010-07-15

申请号：US12665783

申请日：2008-05-27

申请人： Fabian Wenzel ,  Stewart Young ,  Torjoern Vik ,  Frank O. Thiele ,  Ralph Buchert

发明人： Fabian Wenzel ,  Stewart Young ,  Torjoern Vik ,  Frank O. Thiele ,  Ralph Buchert

IPC分类号： A61B5/055

CPC分类号： G06T7/0012 ,  G06T2200/24 ,  G06T2207/10104 ,  G06T2207/20092 ,  G06T2207/30016

摘要： When detecting and classifying hypo-metabolic regions in the brain to facilitate dementia diagnosis, a patient's brain scan image, generated using an FDG-PET scan, is compared to a plurality of hypo-metabolic region patterns in brain scan images associated with a plurality of types of dementia. In a fully automated mode, the patient's scan is compared to all scans stored in a knowledge base, and a type of dementia associated with a most likely match is output to a user along with a highlighted image of the patient' s brain. In a semi-automated mode, a user specifies two or more types of dementia, and the patient's scan is compared to scans typical of the specified types. Diagnosis information including respective likelihoods for each type is then output to the user. Additionally, the user can adjust a threshold significance level to increase or decrease a number of voxels that are included in hypo-metabolic regions highlighted in the patient' brain scan image.

摘要翻译： 当检测和分类大脑中的低代谢区域以促进痴呆诊断时，将使用FDG-PET扫描产生的患者的脑扫描图像与多个相关联的脑扫描图像中的多个低代谢区域模式进行比较 痴呆症类型。 在完全自动化模式下，将患者的扫描与存储在知识库中的所有扫描进行比较，并将与最可能匹配的类型的痴呆一起输出到患者大脑的突出显示的图像。 在半自动模式下，用户指定两种或更多种类型的痴呆，并将患者的扫描与特定类型的典型扫描进行比较。 然后，向用户输出包括各种类型的各自可能性的诊断信息。 此外，用户可以调整阈值显着性水平以增加或减少患者脑扫描图像中突出显示的次代谢区域中包含的体素数量。