Spectral near-infrared fluorescence imaging of curved surfaces using projection reconstruction algorithms.
Spectral near-infrared fluorescence imaging of curved surfaces using projection reconstruction algorithms.
复制标题
使用投影重建算法对曲面进行光谱近红外荧光成像。
DOI:
10.1002/cmmi.129
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发表时间:
2007
影响因子:
--
通讯作者:
Kobayashi,Hisataka
中科院分区:
文献类型:
--
作者:
Hama,Yukihiro;Koyama,Yoshinori;Bernardo,Marcelino;Choyke,PeterL;Kobayashi,Hisataka
In vivospectral fluorescence imaging has made it possible to non‐invasively visualize superficial curved structures as well as structures deep to the skin. However, the defocus created by blurring has been an obstacle to creating anatomically interpretable surface images. Herein we present a methodology to correct for blurring induced by curved structures during spectral fluorescence imaging using signal intensity projection algorithms. In a phantom and an animal model in which the lymphatic system was visualized after the interstitial injection of quantum dots with emission spectra in the near‐infrared (NIR) range, the planes of focus were sequentially adjusted to obtain az‐stack of images which contains images acquired from multiple focal points. Maximum, minimum, median and average intensity projections were applied to the resulting images. Using the phantom, the minimum and the median intensity projection images demonstrated improved deblurring whereas duringin vivoimaging the median intensity projection images more clearly visualized important structures than did the other projection techniques. Image stacking with subsequent application of appropriate projection techniques provides a simple method for deblurringin vivooptical images obtained from curved surfaces, thus improving their anatomic resolution. Copyright © 2007 John Wiley & Sons, Ltd.