Thermal depth profiling of vascular lesions: automated regularization of reconstruction algorithms.
Thermal depth profiling of vascular lesions: automated regularization of reconstruction algorithms.
复制标题
血管病变的热深度分析：重建算法的自动正则化。
DOI：
10.1088/0031-9155/53/5/019
复制
发表时间：
2008
影响因子：
3.5
通讯作者：
Nelson,JStuart
中科院分区：
文献类型：
--
作者：
Verkruysse,Wim;Choi,Bernard;Zhang,JennyR;Kim,Jeehyun;Nelson,JStuart
Pulsed photo-thermal radiometry (PPTR) is a non-invasive, non-contact diagnostic technique used to locate cutaneous chromophores such as melanin (epidermis) and hemoglobin (vascular structures). Clinical utility of PPTR is limited because it typically requires trained user intervention to regularize the inversion solution. Herein, the feasibility of automated regularization was studied. A second objective of this study was to depart from modeling port wine stain PWS, a vascular skin lesion frequently studied with PPTR, as strictly layered structures since this may influence conclusions regarding PPTR reconstruction quality. Average blood vessel depths, diameters and densities derived from histology of 30 PWS patients were used to generate 15 randomized lesion geometries for which we simulated PPTR signals. Reconstruction accuracy for subjective regularization was compared with that for automated regularization methods. The objective regularization approach performed better. However, the average difference was much smaller than the variation between the 15 simulated profiles. Reconstruction quality depended more on the actual profile to be reconstructed than on the reconstruction algorithm or regularization method. Similar, or better, accuracy reconstructions can be achieved with an automated regularization procedure which enhances prospects for user friendly implementation of PPTR to optimize laser therapy on an individual patient basis.
