Carrara Mauro, Tomatis Stefano, Bono Aldo, Bartoli Cesare, Moglia Daniele, Lualdi Manuela, Colombo Ambrogio, Santinami Mario, Marchesini Renato
Medical Physics Unit, Istituto Nazionale per lo Studio e la Cura dei Tumori, Milan, Italy.
Phys Med Biol. 2005 Nov 21;50(22):N345-57. doi: 10.1088/0031-9155/50/22/N01. Epub 2005 Nov 1.
The aim of this study was to develop an algorithm for the automatic segmentation of multispectral images of pigmented skin lesions. The study involved 1700 patients with 1856 cutaneous pigmented lesions, which were analysed in vivo by a novel spectrophotometric system, before excision. The system is able to acquire a set of 15 different multispectral images at equally spaced wavelengths between 483 and 951 nm. An original segmentation algorithm was developed and applied to the whole set of lesions and was able to automatically contour them all. The obtained lesion boundaries were shown to two expert clinicians, who, independently, rejected 54 of them. The 97.1% contour accuracy indicates that the developed algorithm could be a helpful and effective instrument for the automatic segmentation of skin pigmented lesions.
本研究的目的是开发一种用于色素沉着性皮肤病变多光谱图像自动分割的算法。该研究纳入了1700例患者的1856处皮肤色素沉着性病变，在切除前通过一种新型分光光度系统进行了体内分析。该系统能够在483至951nm之间等间距波长下采集一组15张不同的多光谱图像。开发了一种原始分割算法并应用于所有病变，能够自动勾勒出它们的轮廓。将获得的病变边界展示给两位专家临床医生，他们独立地排除了其中54个。97.1%的轮廓准确率表明，所开发的算法可能是一种用于皮肤色素沉着性病变自动分割的有用且有效的工具。
