Sentence examples for based on the tbr from inspiring English sources
Black, blue, and red voxels represent normoxic, hypoxia-ambiguous, and hypoxic tumour sub-volumes, respectively, as based on the TBR ≥ 1.2 threshold (dashed lines).
Scatter plots for the co-registered FMISO images display intratumour voxels colour-coded according to their hypoxia status as based on the TBR ≥ 1.2 threshold (Fig. 1).
To evaluate the geographic stability of hypoxic sub-volumes, the percentage of intratumour voxels that were identified as hypoxic in both FMISO studies was calculated, as based on the TBR ≥ 1.2, ≥1.4, and ≥1.6 thresholds [6 9].
We constructed a Maximum Likelihood tree based on the TBR with a gamma correction of 0.015 using PAUP*.
The background ROI was placed in the contralateral hemisphere to the tumour in an area of normal-appearing brain tissue including white and grey matter, identically for centres A and B. For the data set of centre A, the tumour volume (Tvol) was delineated using a cut-off of the TBR > 1.8 which is based on the clinical experience in that centre [16, 20].
Moreover, we estimate the overall tritium breeding ratio (TBR) with a torus configuration, based on the segmentation using three-dimensional (3D) Monte Carlo N-particle calculations.
Despite the differences in their running style, data from studies on TBR are commonly transferred to STBR, based on the assumption of a theoretical similar exposure to common risk factors.
Mathematical models, based on the dynamic mechanisms by which vector-borne helminth infection occurs, provide an important tool for the calculation of the TBR and parasite breakpoint values [ 7, 8, 11].
In experiment #2, six spheres (inner diameters of 37, 28, 22, 17, 13, and 10 mm) in the phantom were filled with an 18F solution with a TBR of 4 1 under noise-free conditions in order to estimate image resolution based on the recovery coefficient (RC).
PAUP* was then used to search for the maximum likelihood (ML) tree, based on the best fit model and parameter estimates given by ModelTest (Table 1) and using a heuristic search with tree bisection reconnection (TBR).
