D'Alessandro Brian, Dhawan Atam P
Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:8448-51. doi: 10.1109/IEMBS.2011.6092084.
Early detection and diagnosis of skin cancer is essential to treating the malignancy and preventing death. Subsurface features and depth information are critical in evaluating a skin lesion for this early malignancy screening. We present a novel voxel-based Monte Carlo simulation of light propagation in skin tissue which runs in a highly parallel environment on desktop graphics processors, resulting in an extremely fast simulation of millions of photons in less than one second. We then use this model in a genetic algorithm for the inverse 3D volume reconstruction of a skin lesion, given a set of multispectral images obtained using non-invasive transillumination imaging. Our method demonstrates improved accuracy at a superior resolution to existing methods.
皮肤癌的早期检测和诊断对于治疗恶性肿瘤和预防死亡至关重要。在这种早期恶性肿瘤筛查中，皮肤表面下的特征和深度信息对于评估皮肤病变至关重要。我们提出了一种基于体素的皮肤组织光传播蒙特卡罗模拟方法，该方法在桌面图形处理器的高度并行环境中运行，能够在不到一秒的时间内对数百万个光子进行极快速的模拟。然后，在给定一组使用非侵入性透照成像获得的多光谱图像的情况下，我们将该模型用于遗传算法，以对皮肤病变进行三维体积逆向重建。我们的方法在分辨率优于现有方法的情况下，展示出了更高的准确性。
