A bioimage informatics based reconstruction of breast tumor microvasculature with computational blood flow predictions.
作者:
关键词
Adjacency matrixBFSDDFSGIQRLL(D)MPLMTTMinimum heapNPPriority queueQRa symmetric matrix consisting of ones and zeros indicating whether or not 2 nodes are connected with a segmentbreadth-first search traversal algorithm (systematic visiting of nodes and segments of the graph)data structure where each element is served based on a predefined prioritydepth-first search traversal algorithm (systematic visiting of nodes and segments of the graph)flow rateflow-weighted mean path lengthhydraulic conductanceinterquartile range (measure of data dispersion)m(tissue)mass of tumor tissuemaximum extravascular diffusion distance of oxygenpressuresegment diametersegment lengthtotal mean transit timetotal number of segmentstree-based data structure where the parent nodes have always an identity (key) smaller than their children nodesvascular length density
主题词
算法(Algorithms);血管生成抑制剂(Angiogenesis Inhibitors);动物(Animals);抗肿瘤药(Antineoplastic Agents);乳腺肿瘤(Breast Neoplasms);细胞系, 肿瘤(Cell Line, Tumor);计算生物学(Computational Biology);女(雌)性(Female);血流动力学(Hemodynamics);人类(Humans);成像, 三维(Imaging, Three-Dimensional);小鼠(Mice);小鼠, 裸(Mice, Nude);微血管(Microvessels);肿瘤移植(Neoplasm Transplantation);新生血管化, 病理性(Neovascularization, Pathologic);灌流(Perfusion);压力(Pressure);X线显微体层摄影术(X-Ray Microtomography)
DOI
10.1016/j.mvr.2013.12.003
PMID
24342178
发布时间
2021-10-21
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