读题有点难。。。。注意维数对应即可
#include<cstdio>
#include<queue>
using namespace std;
int mapx[1500][150][100];
bool visit[1500][150][100]={0};
int n,m,l;
struct node{
int x,y,z;
node(int a=0,int b=0,int c=0):x(a),y(b),z(c){
}
};
int dix[6]={0,0,0,0,1,-1};
int diy[6]={0,0,1,-1,0,0};
int diz[6]={1,-1,0,0,0,0};
bool istrue(int x,int y,int z){
return x>=0&&y>=0&&z>=0&&x<n&&y<m&&z<l;
}
int bfs(int x,int y,int z){
int su=1;
visit[x][y][z]=1;
queue<node> q;
q.push(node(x,y,z));
while(!q.empty()){
node t=q.front();
q.pop();
for(int i=0;i<6;++i){
int nx=t.x+dix[i];
int ny=t.y+diy[i];
int nz=t.z+diz[i];
if(istrue(nx,ny,nz)&&visit[nx][ny][nz]==0&&mapx[nx][ny][nz]==1){
q.push(node(nx,ny,nz));
visit[nx][ny][nz]=1;
su++;
}
}
}
return su;
}
int main(){
int t,sum=0;
scanf("%d%d%d%d",&n,&m,&l,&t);
for(int i=0;i<l;++i)
for(int j=0;j<n;++j)
for(int z=0;z<m;++z)
scanf("%d",&mapx[j][z][i]);
for(int i=0;i<l;++i)
for(int j=0;j<n;++j)
for(int z=0;z<m;++z){
if(visit[j][z][i]==0&&mapx[j][z][i]==1){
int ans=bfs(j,z,i);
if(ans>=t) sum+=ans;
}
}
printf("%d\n",sum);
return 0;
} 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 0Sample Output:
26
本文介绍了一种使用三维图像分析技术来计算急性脑卒中核心体积的方法。给定一系列MRI切片图像的数据,通过遍历每个像素并采用广度优先搜索算法来确定连接区域的大小。只有当连接区域的体积大于特定阈值时,才将其计入最终的脑卒中体积。
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