Image Processing Reference

In-Depth Information

Table 4

Computation Time for Estimating an Ideal Resected Region

Processing

Sample 1 Sample 2 Sample 3

Computing perfused regions(s) 58

87

84

Computing resected region(s)

2

1

72

3D reconstruction(s)

18

17

11

Total(s)

78

105

167

3 Estimating an Optimal Resected Region Under the

Practical Conditions in Surgery

Although the method described in the previous section greatly reduces the volume of the es-

timated resected region, it is difficult for surgeons to use the results directly in the real surgery

since the number of cut-points may be much larger than that of the manual approach, and

since cut-points may be sometimes set on such tiny vessels that surgeons cannot identify in the

real surgery. In order to solve this problem, the method described in the previous section is

extended considering the practical conditions: branch points and the radius of the vessels. The

optimization procedure starts with obtaining the ideal cut-points by the method described in

the previous section (
Figure 6(a)
). These ideal cut-points are refined considering the practical

conditions as shown in
Figure 6(b)
.
Each cut-point is moved toward the upstream direction in

such a way that the cut-point is set on a branch point and the radius of the vessel is larger than

the predetermined value.

FIGURE 6
Refining the cut-points considering the practical conditions.

Tables 5
and
6
summarize the results of the optimization considering the practical condi-

tions for samples 1 and 2, respectively. The radius of the vessel is set to 6 or 8 mm. These res-

ults show that the estimated resected region is minimized keeping the number of cut-points

small appropriately for real surgery.

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