For investigating the feasibility of the STC method, a total of 14 data sets were acquired from five in-vivo experiments with three rabbits, where four of those data sets contained simulated edematous areas, as described in Fig. 1. Each data set is composed of 100 to 150 OCT images consecutively measured on the same airway sections. First, TCC functions are calculated for all those data sets considering two differently sized local regions to investigate the possible effect of a local tissue size on the statistical decision process. One is three A-lines of 200-pixels length ( depth in the actual airway) and the other is five A-lines of 200 pixels. The starting points for those 200-pixel A-lines are set to the 10th pixels below airway surfaces on the first OCT image of each data set, which were preselected before TCC calculations. Since a full-range OCT image consists of 2000 A-lines, 666 and 400 TCC functions are generated for three and five A-line bundle cases, respectively. Second, archetype edematous and normal airway areas are selected to determine the ground truth data for the statistical decision process. Although the location of the surgically created edematous tissue is always confirmed by visual observation of the tissue surface with a rigid surgical endoscope and analysis of relevant OCT images, it is almost impossible to identify a distinct boundary between edematous areas and normal tissue in in-vivo situations. Therefore, the central portions rather than the periphery of the surgically created edematous areas were selected to serve as archetype regions. The remaining pristine regions of the rabbit airway were considered to be normal. Third, normalized cross-correlation coefficients between TCC function pairs (i.e., STC coefficients) are calculated for those selected edematous and normal airway areas. The spatial distance between TCC function pairs is set by the selected number of TCCs between them, which is defined as , and this is also varied to investigate its impact on the statistical decision process. For example, indicates STC coefficients are extracted between first and fifth TCC functions, second and sixth TCC functions, etc. We assume that the ground truth state for the STC coefficient for a given TCC pair is determined by the airway region from where the central TCC function between those paired TCC functions is selected. For example, the ground truth state for the STC coefficient from second and sixth TCC functions is considered normal if the fourth TCC function is located in the selected normal region. For a single airway image set as shown in Fig. 1, several hundreds of independent test statistic outputs (i.e., STC coefficients) may be extracted because TCC functions are calculated for small local airway areas consisting of only three or five A-lines. Applying the process to all 14 in-vivo OCT data sets, the overall numbers of STC coefficients from selected edematous and normal areas are 417 and 7861 for three A-line bundled TCCs and 250 and 4720 for five A-line bundled TCCs.