"Computer-aided Diagnosis in Ophthalmology, Dermatology, and Radiology"

“眼科、皮肤科和放射科的计算机辅助诊断”

• 批准号: 43930-2012
• 负责人: Rangayyan, Rangaraj
• 金额: $ 1.82万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=568914
• 关键词: Computer; aided; Diagnosis; Ophthalmology; Dermatology

Computer-aided diagnosis (CAD) of several types of diseases is possible by the application of specialized techniques of digital image processing and pattern recognition; this is the theme of my research program. I propose to develop CAD techniques for several applications in ophthalmology, dermatology, and radiology. Several conditions such as diabetes, hypertension, and retinopathy of prematurity (ROP) affect the blood vessels in the retina; specifically, the shape and width of the vessels are modified by pathological processes. Quantitative analysis of the architecture of the retinal vasculature could assist in monitoring the stage of a disease, evaluating the effects on the visual system, and assessing the response to treatment. I propose to develop image processing techniques to detect and analyze blood vessels in fundus images of the retina, to detect and model the major temporal arcade, and to develop measures to facilitate objective grading and followup of ROP. I propose to develop algorithms to analyze the shape, width, and tortuosity of blood vessels using shape factors, coherence, angular deviation, and fractal analysis. I will develop parametric methods to facilitate longitudinal quantitative analysis to aid followup of patients with ROP and assessment of the effect of treatment. The methods will be tested with images of patients at the Alberta Children's Hospital. I propose to continue the productive collaboration I have established with researchers in Brazil, UK, Spain, India, China, and Italy. The projects include CAD of musculoskeletal deformities (fracture of the vertebrae and distortion of the spine), dermatological ulcers (segmentation and analysis of tissue composition), and breast cancer (analysis of tumors, bilateral asymmetry, and architectural distortion). The proposed techniques of image processing and pattern recognition will facilitate objective and quantitative analysis of medical images. My research program will lead to efficient and accurate CAD and improved prognosis for patients.

通过应用数字图像处理和模式识别的专门技术，可以对多种类型的疾病进行计算机辅助诊断（CAD）；这是我的研究计划的主题。我建议为眼科、皮肤科和放射科的多种应用开发 CAD 技术。 糖尿病、高血压和早产儿视网膜病变 (ROP) 等多种疾病都会影响视网膜血管；具体来说，血管的形状和宽度会因病理过程而改变。视网膜脉管系统结构的定量分析可以帮助监测疾病的阶段、评估对视觉系统的影响以及评估对治疗的反应。我建议开发图像处理技术来检测和分析视网膜眼底图像中的血管，检测和建模主要颞区，并制定措施以促进 ROP 的客观分级和随访。我建议开发算法，利用形状因子、相干性、角度偏差和分形分析来分析血管的形状、宽度和弯曲度。我将开发参数方法来促进纵向定量分析，以帮助对 ROP 患者进行随访并评估治疗效果。这些方法将在阿尔伯塔省儿童医院用患者的图像进行测试。 我建议继续与巴西、英国、西班牙、印度、中国和意大利的研究人员建立的富有成效的合作。这些项目包括肌肉骨骼畸形（椎骨骨折和脊柱扭曲）、皮肤溃疡（组织成分的分割和分析）和乳腺癌（肿瘤、双侧不对称和结构扭曲分析）的 CAD。所提出的图像处理和模式识别技术将有助于对医学图像进行客观和定量分析。我的研究项目将带来高效、准确的 CAD 并改善患者的预后。