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Simulation pipeline for virtual clinical trials of dermatology images

机译:皮肤科虚拟临床试验模拟管道

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Skin cancer is the most common cancer in the US; one in five Americans will develop it by the age of 70. Early diagnosis offers more favorable treatment options; currently available diagnostics, however, shows large readerdependence. The simulation approach (virtual trials) to development and validation offers advantages in terms of quantitative and objective assessment of system performance in the design of novel imaging methods, and validation of clinical trial designs prior to execution of real clinical trials. We have designed a pipeline for performing Virtual Clinical Trials of optical imaging of skin lesions. This pipeline includes modules to simulate healthy skin and subcutaneous tissue, to create skin lesions and insert those in the skin models, and to simulate the acquisition of optical images resulting in simulated/virtual images of skin. The last module of the pipeline performs virtual reading of simulated images, which is based on the clinical task-based performance analysis. The physical properties of the skin and lesions used in our simulations were selected to represent clinically plausible conditions. Skin lesion images were simulated assuming the ambient white light, and a linear camera model. We have utilized the standards for optimal data representation based upon the XML schema, adopted from the VCT pipeline developed for breast imaging research. This paper describes the principles used for designing the proposed VCT pipeline and presents preliminary simulation results, including visual and quantitative evaluation. Integration of pipeline modules and its validation is ongoing.
机译:皮肤癌是美国最常见的癌症;五分之一的美国人将在70岁时发展它。早期诊断提供更有利的治疗方案;但是,目前可用的诊断显示了大型阅读依赖性。发展和验证的模拟方法(虚拟试验)在设计新的成像方法方面的定量和客观评估方面提供了优势,并在执行真实临床试验之前验证临床试验设计。我们设计了一种用于对皮肤病变的光学成像进行虚拟临床试验的管道。该管道包括模拟健康皮肤和皮下组织的模块,以产生皮肤病变并插入皮肤模型中的那些,并模拟所产生的光学图像的采集。管道的最后一个模块执行模拟图像的虚拟读数,这是基于临床任务的性能分析。我们的模拟中使用的皮肤和病变的物理性质被选中以表示临床合理的条件。假设环境白光和线性相机模型模拟皮肤病变图像。我们利用了基于为乳房成像研究开发的VCT管道采用的XML模式的最佳数据表示标准。本文介绍了用于设计所提出的VCT管道的原理,并提出了初步模拟结果,包括视觉和定量评估。流水线模块的集成及其验证正在进行中。

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