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2. 发明申请

WO2011031879A2 AUTOMATED DETECTION OF MELANOMA 审中-公开
标题翻译：自动检测MELANOMA
公开(公告)号：WO2011031879A2
公开(公告)日：2011-03-17
申请号：PCT/US2010/048296
申请日：2010-09-09
申请人： OREGON HEALTH & SCIENCE UNIVERSITY , GAREAU, Dan , HENNESSY, Ricky , JACQUES, Steve
发明人： GAREAU, Dan , HENNESSY, Ricky , JACQUES, Steve
IPC分类号： G06T7/00 , G06T17/00
CPC分类号： G06T7/0057 , G06K9/00147 , G06T7/521 , G06T7/70 , G06T2207/10056 , G06T2207/30088 , G06T2207/30096
摘要： Embodiments herein exploit the optical sectioning capability of reflectance confocal microscopy to non-invasively survey the dermal-epidermal junction (DEJ), noting the irregularities associated with malignancy. Methods are provided to aid a clinician in diagnosing melanoma through pattern recognition to extract pertinent diagnostic information from large 3D confocal images. Identifying the combination of pagetoid melanocytes and DEJ breakdown increases the accuracy of detection. A method may be used to process a 3D confocal volume of images taken by a clinician of a suspicious lesion and deduce the depth location z of the first reflective surface (FRS) at each x-y position. This FRS is where the most superficial melanin resides. In this manner, the stratum corneum and epidermis are digitally stripped and no longer distract the clinician from the more diagnostically relevant pigmented cell network. The FRS is putatively either the DEJ for benign nevi or the depth of a pagetoid melanocyte at x,y above the DEJ. Thus by creating a 3D surface plot of the FRS for each lateral x,y point, the presence of pagetoid cells is identified by a discreet jump in the FRS above the level of the DEJ. The DEJ map may also be used to determine if breakdown of the DEJ is occurring.
摘要翻译：本文的实施例利用反射共聚焦显微镜的光学切片能力来非侵入性地测量皮肤 - 表皮连接处（DEJ），注意到与恶性肿瘤相关的不规则性。提供方法以帮助临床医师通过模式识别来诊断黑素瘤，以从大的3D共焦图像中提取相关的诊断信息。识别网页黑素细胞和DEJ分解的组合增加了检测的准确性。可以使用一种方法来处理由临床医生拍摄的可疑病变的3D共焦体积，并在每个x-y位置推导第一反射表面（FRS）的深度位置z。这种FRS是最肤浅的黑色素所在。以这种方式，角质层和表皮被数字剥离，并且不再使临床医师从更诊断性的相关色素细胞网络分散注意力。 FRS推定为DEJ用于良性痣或在DEJ上方的x，y处的网页黑素细胞的深度。因此，通过为每个横向x，y点创建FRS的3D曲面图，通过在DEJ的水平之上的FRS中的谨慎跳跃来识别网页细胞的存在。也可以使用DEJ图来确定DEJ的故障是否发生。

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