A Stochastic Multi-Scale Model of Electrical Function in Normal and Depleted ICC Networks

作者：Gao Jerry^*; Du Peng; Archer Rosalind; O'Grady Greg; Gibbons Simon J; Farrugia Gianrico; Cheng Leo K; Pullan Andrew J

来源：IEEE Transactions on Biomedical Engineering, 2011, 58(12): 3451-3455.

DOI：10.1109/TBME.2011.2164248

• Gastroenterology
• image generation
• interstitial cells of Cajal (ICC)
• single normal equation simulation (SNESIM)

Multi-scale modeling has become a productive strategy for quantifying interstitial cells of Cajal (ICC) network structure-function relationships, but the lack of large-scale ICC network imaging data currently limits modeling progress. The single normal equation simulation (SNESIM) algorithm was utilized to generate realistic virtual images of small real wild-type (WT) and 5-HT(2B)-receptor knockout (Htr2b(-/-)) mice ICC networks. Two metrics were developed to validate the performance of the algorithm: 1) network density, which is the proportion of ICC in the tissue; and 2) connectivity, which reflects the degree of connectivity of the ICC network. Following validation, the SNESIM algorithm was modified to allow variation in the degree of ICC network depletion. ICC networks from a range of depletion severities were generated, and the electrical activity over these networks was simulated. The virtual ICC networks generated by the original SNESIM algorithm were similar to that of their real counterparts. The electrical activity simulations showed that the maximum current density magnitude increased as the network density increased. In conclusion, the SNESIM algorithm is an effective tool for generating realistic virtual ICC networks. The modified SNESIM algorithm can be used with simulation techniques to quantify the physiological consequences of ICC network depletion at various physical scales.

• 出版日期2011-12