C#处理医学图像(一):基于Hessian矩阵的血管肺纹理骨骼加强对比

时间 2021-01-11 标签 html ios 算法微信架构并发机器学习函数高并发工具

在医院实际环境中，常常遇到有问题的患者，对于一些特殊的场景，好比骨折，肺结节，心脑血管问题html

须要图像对比加强来更为清晰的显示病灶助于医生确诊，先看效果：ios

肺纹理加强:算法

肺结节加强：微信

血管对比加强：架构

骨骼对比加强：并发

根据参考资料：机器学习

MATLAB版本：函数

https://ww2.mathworks.cn/matlabcentral/fileexchange/24409-hessian-based-frangi-vesselness-filter高并发

算法原理：工具

https://baike.baidu.com/item/%E9%BB%91%E5%A1%9E%E7%9F%A9%E9%98%B5/2248782?fr=aladdin

将其原理翻译写成C++类库，在C++中使用Opencv对于矩阵操做比较方便，导出dll后再由C#调用，

新建C++类库工程：

#include "stdafx.h" #include <iostream> #include <string> #include <cstring> #include <cstdlib> #include <vector> #include "MatBase64.h" #include "frangi.h" #include "ET.Functions.h"
using namespace std; using namespace cv; char* GetFrangiBase64Code(char* base64code, int SIGMA_START, int SIGMA_END, int SIGMA_STEP, float BETA_ONE, float BETA_TWO, bool BLACKWHITE){ //初始化矩阵参数
 frangi2d_opts_t opts; frangi2d_createopts(&opts, SIGMA_START, SIGMA_END, SIGMA_STEP, BETA_ONE, BETA_TWO, BLACKWHITE); //处理传入的base64编码转为Mat对象
    string imgcode =base64code; string s_mat; s_mat = base64Decode(imgcode.data(), imgcode.size()); vector<char> base64_img(s_mat.begin(), s_mat.end()); Mat input_img = cv::imdecode(Mat(base64_img), CV_LOAD_IMAGE_GRAYSCALE); //进行frangi算法处理
 Mat input_img_fl; input_img.convertTo(input_img_fl, CV_32FC1); Mat vesselness, scale, angles; frangi2d(input_img_fl, vesselness, scale, angles, opts); vector<uchar> buf; imencode(".jpg", vesselness * 255, buf); auto *enc_msg = reinterpret_cast<unsigned char*>(buf.data()); string encoded = base64Encode(enc_msg, buf.size()); //返回base64编码
    char *result = new char[encoded.length() + 1]; for (int i = 0; i < encoded.length(); ++i) { result[i] = encoded[i]; } result[encoded.length()] = '\0'; return result; }

导出函数：

extern "C" _declspec(dllexport) char* GetFrangiBase64Code(char * base64code, int SIGMA_START, int SIGMA_END, int SIGMA_STEP, float BETA_ONE, float BETA_TWO, bool BLACKWHITE);

建立模块定义文件：

LIBRARY "ET.Functions" EXPORTS GetFrangiBase64Code @ 1,

导出32位dll，复制到C#debug目录下，C#调用：将目标图像转为base64，发送给C++，返回处理后的base64，在转为图像

        [DllImport(@"ET.Functions.dll", EntryPoint = "GetFrangiBase64Code" ,CallingConvention = CallingConvention.Cdecl)] public static extern IntPtr GetFrangiBase64Code(string base64code, int SIGMA_START, int SIGMA_END, int SIGMA_STEP, float BETA_ONE, float BETA_TWO, bool BLACKWHITE); private void ckcbw_CheckedChanged(object sender, EventArgs e) { getimg(); } private void trabarStart_ValueChanged(object sender, EventArgs e) { getimg(); } void getimg() { int start = trabarStart.Value; int end = trabarEnd.Value; int step = trabarStep.Value; float zaosheng = (float)trabarZaosheng.Value / 10; float bg = (float)trabarBG.Value / 10; IntPtr pRet = GetFrangiBase64Code(ToBase64(b), start, end, step, zaosheng, bg, ckcbw.Checked); string strRet = Marshal.PtrToStringAnsi(pRet); pictureBox1.BackgroundImage = Base64StringToImage(strRet); }