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Development of a Multimodal Image Registration and Fusion Technique for Visualising and Monitoring Chronic Skin Wounds

机译:开发多峰图像登记和融合技术,用于可视化和监测慢性皮肤伤口

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Chronic skin wounds from diabetes, atherosclerosis, and cancer form a large source of morbidity and medical complications. While individual imaging modalities (e.g. visual images, thermograms, ultrasound) can be useful for monitoring the healing process, their use is limited because of the difficulty acquiring and registering multiple images from different modalities. This paper presents a methodology for image registration using an alignment phantom for grayscale images and thermograms. The registration system achieves a Fiducial Registration Error of 0.61 mm and Mutual Information value of 0.774. Future studies will seek to add additional imaging modalities and improve registration for other areas of the body.
机译:来自糖尿病,动脉粥样硬化和癌症的慢性皮肤伤口形成了大量的发病率和医疗并发症。 虽然单个成像方式(例如视觉图像,热视图,超声波)可用于监测治疗过程,但它们的使用是有限的,因为难以获取和从不同方式注册多个图像。 本文介绍了使用对准模型进行灰度图像和热图的图像登记的方法。 登记系统实现了0.61毫米的基准登记误差,相互信息值为0.774。 未来的研究将寻求增加额外的成像方式并改善身体其他地区的注册。

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