题目信息
1091. Acute Stroke (30)
时间限制400 ms
内存限制65536 kB
代码长度限制16000 B
One important factor to identify acute stroke (急性脑卒中) is the volume of the stroke core. Given the results of image analysis in which the core regions are identified in each MRI slice, your job is to calculate the volume of the stroke core.
Input Specification:
Each input file contains one test case. For each case, the first line contains 4 positive integers: M, N, L and T, where M and N are the sizes of each slice (i.e. pixels of a slice are in an M by N matrix, and the maximum resolution is 1286 by 128); L (<=60) is the number of slices of a brain; and T is the integer threshold (i.e. if the volume of a connected core is less than T, then that core must not be counted).
Then L slices are given. Each slice is represented by an M by N matrix of 0’s and 1’s, where 1 represents a pixel of stroke, and 0 means normal. Since the thickness of a slice is a constant, we only have to count the number of 1’s to obtain the volume. However, there might be several separated core regions in a brain, and only those with their volumes no less than T are counted. Two pixels are “connected” and hence belong to the same region if they share a common side, as shown by Figure 1 where all the 6 red pixels are connected to the blue one.
Figure 1
Output Specification:
For each case, output in a line the total volume of the stroke core.
Sample Input:
3 4 5 2
1 1 1 1
1 1 1 1
1 1 1 1
0 0 1 1
0 0 1 1
0 0 1 1
1 0 1 1
0 1 0 0
0 0 0 0
1 0 1 1
0 0 0 0
0 0 0 0
0 0 0 1
0 0 0 1
1 0 0 0
Sample Output:
26
解题思路
六个方向进行搜索
AC代码
#include <cstdio>
#include <queue>
#include <map>
using namespace std;
bool mp[63][1300][130];
int m, n, l, t, v, s;
struct node{
int x, y, z;
node operator+(node& b){
return node(x + b.x, y + b.y, z + b.z);
}
node(int a, int b, int c) : x(a), y(b), z(c){}
};
node dir[6] = {node(0, 0, -1), node(0, 0, 1), node(1, 0, 0), node(-1, 0, 0), node(0, 1, 0), node(0, -1, 0)};
void bfs(int x, int y, int z){
queue<node> que;
int cnt = 1;
mp[z][y][x] = false;
que.push(node(x, y, z));
while (!que.empty()){
node b = que.front();
que.pop();
for (int i = 0; i < 6; ++i){
node c = b + dir[i];
if (mp[c.z][c.y][c.x]){
mp[c.z][c.y][c.x] = false;
que.push(c);
++cnt;
}
}
}
if (cnt >= t){
s += cnt;
}
}
int main()
{
scanf("%d%d%d%d", &m, &n, &l, &t);
for (int k = 1; k <= l; ++k){
for (int i = 1; i <= m; ++i){
for (int j = 1; j <= n; ++j){
scanf("%d", &v);
mp[k][i][j] = (v == 1);
}
}
}
for (int k = 1; k <= l; ++k){
for (int i = 1; i <= m; ++i){
for (int j = 1; j <= n; ++j){
if (mp[k][i][j]){
bfs(j, i, k);
}
}
}
}
printf("%d\n", s);
return 0;
}
急性脑卒中体积计算

本文介绍了一种通过MRI图像分析来计算急性脑卒中核心体积的方法。输入包含多个MRI切片的数据,通过搜索算法确定脑卒中核心区域并计算其总体积。此算法能够识别并计数那些超过特定阈值的连续核心区域。
579

被折叠的 条评论
为什么被折叠?



