Computer assisted diagnosis using ultrasonography

拟议的研究是探讨如何增强超声图像，以帮助他们的解释由医疗专业人员。 图像增强算法将被设计为使不同种类的组织之间的差异更加明显，并增加正常组织和患病组织之间的外观差异。 增强的图像被称为“虚拟组织学”图像后，染色和观察组织在显微镜下的经典组织学方法，病理学家用来作出诊断。 “虚拟组织学”图像将为医学专业人员提供一种新的信息，这将提高诊断的准确性和快速性。 使用“虚拟组织学”图像来减少手术活检以确定恶性肿瘤的需要是可能的。 在某些情况下，侵入性活检程序可以被无害的超声扫描所取代，这种超声扫描可以通过“虚拟组织学”算法来增强。 在未来，“虚拟组织学”图像可以在检查时由超声机器自动生成，从而加快患者的诊断时间，并允许低成本的病理早期检测。

The proposed research is to investigate ways of enhancing ultrasound images so as to aid their interpretation by a medical professional. Image enhancement algorithms will be designed to make differences between different kinds of tissues more visible, and to increase the difference in appearance between normal tissues and diseased tissues. The enhanced images are called "virtual histology" images after the classical histology methods of staining and viewing tissues under a microscope which are used by pathologists to make diagnoses. "Virtual histology" images will offer a new kind of information to medical professionals which will improve the accuracy and rapidity of diagnoses. It may be possible to use "virtual histology" images to reduce the need for surgical biopsies to determine malignancy. Invasive biopsy procedures could be replaced in some cases by a harmless ultrasound scan which is enhanced by "virtual histology" algorithms. In the future, "virtual histology" images could be generated automatically by ultrasound machines at the time of examination leading to faster time to diagnosis for patients and allowing for low-cost early detection of pathologies.