### Table 1. Comparison of enabled forms of analysis, where implicit denotes those directly obtained by the method during the segmentation process and PPR denotes those requiring post-processing. Binary methods denote vessel segmentation methods whose output is a binary volume (e.g. level set, region growing).

in Vessel crawlers: 3d physically-based deformable organisms for vasulature segmentation and analysis

2006

Cited by 4

### Table 2: The Binary mixtures. Mixing ratios are given in liquid-phase volume-to-volume (v/v). mixture mixing ratios (v/v)

"... In PAGE 6: ...Comparing the response curve models We have used the mixings A:T, M:D and B:I (see Table2 ) to compare between the three possible response curve models. The results are summarized in Table 4.... ..."

### Table 3. Rendering times for the volume of size 128 128 113.

"... In PAGE 8: ... Although setting larger super cell size higher rotation speed can be achieved in the fast previewing phase the high quality rendering slows down since the binary volume contains less precise information about the trans- parent cells. Table3 and Table 4 show the average rendering times for the low and high resolution data sets respectively using three di erent transfer functions... ..."

### TABLE A3. BRANCH LOAN VOLUME The dependent variable is Only Lender, Relationship Banking, or ln(1 + Duration of Relationship). Ln(Bank Asset Size) is the log of bank assets, in 1000s of US$. Ln(Branch Loan Volume) equals the natural logarithm of the loan portfolio of the branch, in 1000s of US$. The definition of the other variables can be found in Table 1. The table reports the coefficients from binary Logit and OLS models. *, **, and *** = significant at 10%, 5% and 1% level, two-tailed. BMPRS: Berger, et al. (2002); SPB amp; SP: Single-Person Businesses and Sole Proprietorships. Goodness-of-fit measures: a Adjusted R-squared, l Likelihood Ratio Index, p Pseudo R-squared.

### Table 2: Impact of the mapping of don apos;t-cares to binary values on power consumption.

"... In PAGE 4: ... Unfortunately, this strategy does not lead to any signi cant decrease in the test data volume|in fact, we found that in many cases, the encoded test set was larger than the original test set. We therefore carried out a set of experiments to demonstrate that if all don apos;t-cares are mapped to 0s, the test data volume decreases substantially ( Table2 ) and at the same time, power savings are signi cant. Our experimental results for the larger ISCAS 89 circuits are shown in Table 2.... In PAGE 4: ... We therefore carried out a set of experiments to demonstrate that if all don apos;t-cares are mapped to 0s, the test data volume decreases substantially (Table 2) and at the same time, power savings are signi cant. Our experimental results for the larger ISCAS 89 circuits are shown in Table2 . We note that while the average power consumption is greater compared to the \optimal quot; mapping of don apos;t-cares, it is still signi cantly less than the power for ATPG-compacted test sets.... ..."