Wojtkiewicz Stanislaw, Durduran Turgut, Dehghani Hamid
School of Computer Science, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
ICFO - Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, Castelldefels (Barcelona), Spain.
Biomed Opt Express. 2017 Dec 4;9(1):41-54. doi: 10.1364/BOE.9.000041. eCollection 2018 Jan 1.
Time-resolved temporal point spread function (TPSF) measurement of near infrared spectroscopic (NIRS) data allows the estimation of absorption and reduced scattering properties of biological tissues. Such analysis requires an iterative calculation of the theoretical TPSF curve using mathematical and computational models of the domain being imaged which are computationally complex and expensive. In this work, an efficient methodology for representing the TPSF data using a superposition of cosines calculated in frequency domain is presented. The proposed method is outlined and tested on finite element realistic models of the human neck and head. Using an adult head model containing ~140k nodes, the TPSF calculation at each node for one source is accelerated from 3.11 s to 1.29 s within an error limit of ± 5% related to the time domain calculation method.
对近红外光谱(NIRS)数据进行时间分辨的时间点扩散函数(TPSF)测量,可以估计生物组织的吸收和约化散射特性。这种分析需要使用所成像区域的数学和计算模型对理论TPSF曲线进行迭代计算,这在计算上既复杂又昂贵。在这项工作中,提出了一种使用在频域中计算的余弦叠加来表示TPSF数据的有效方法。所提出的方法在人体颈部和头部的有限元真实模型上进行了概述和测试。使用一个包含约14万个节点的成人头部模型,在与时域计算方法相关的±5%误差范围内,一个源在每个节点处的TPSF计算从3.11秒加速到了1.29秒。