在医生阅片确诊的过程中,当发线疑似病灶时在灰度显示下有时并不清晰,这时候就需要色彩增强效果来使灰度图像变为彩色图像。
LUT可以简单的理解为0-255的颜色映射值,例如:彩虹编码,将其打包成LUT格式文件,在读取图像后载入LUT:
//实例化文件处理对象并打开文件 DicomFile dicomFile = DicomFile.Open(@"C:\101\1.dcm"); //获取dicom图像对象 DicomImage dicomImage = new DicomImage(dicomFile.Dataset); //载入Lut dicomImage.GrayscaleColorMap = ColorTable.LoadLUT(@"lut\1.lut");
看效果:
反色处理:
在有些类型的影像中,例如牙片(PX),胸片等,需要黑白反色的情况下观察病灶
在C#中需要用到指针,先将项目设置为允许不安全代码:
其中sourceImg是WriteableBitmap类型:
#region -----反色----- if (box.ConvertColor == "BlackWhite") { unsafe { var bytes = (byte*)sourceImg.BackBuffer.ToPointer(); sourceImg.Lock(); for (int i = 0; i < sourceImg.BackBufferStride * sourceImg.PixelHeight; i++) { bytes[i] = (byte)(255 - bytes[i]); } sourceImg.AddDirtyRect(new Int32Rect(0, 0, sourceImg.PixelWidth, sourceImg.PixelHeight)); sourceImg.Unlock(); } } #endregion
看效果:
或者使用LUT逆灰度编码也能达到同样的效果。
附彩虹编码结构参考:
{ 0, 0, 0,0 }, { 0, 0, 7,0 }, { 0, 0, 15,0 }, { 0, 0, 23,0 }, //4
{ 0, 0, 31,0 }, { 0, 0, 39,0 }, { 0, 0, 47,0 }, { 0, 0, 55,0 }, //8
{ 0, 0, 63,0 }, { 0, 0, 71,0 }, { 0, 0, 79,0 }, { 0, 0, 87,0 }, //12
{ 0, 0, 85,0 }, { 0, 0,103,0 }, { 0, 0,111,0 }, { 0, 0,119,0 }, //16
{ 0, 0,127,0 }, { 0, 0,135,0 }, { 0, 0,143,0 }, { 0, 0,151,0 }, //20
{ 0, 0,159,0 }, { 0, 0,167,0 }, { 0, 0,175,0 }, { 0, 0,183,0 }, //24
{ 0, 0,191,0 }, { 0, 0,199,0 }, { 0, 0,207,0 }, { 0, 0,215,0 }, //28
{ 0, 0,223,0 }, { 0, 0,231,0 }, { 0, 0,239,0 }, { 0, 0,247,0 }, //32
{ 0, 0,255,0 }, { 0, 8,255,0 }, { 0, 16,255,0 }, { 0, 24,255,0 }, //36
{ 0, 32,255,0 }, { 0, 40,255,0 }, { 0, 48,255,0 }, { 0, 56,255,0 }, //40
{ 0, 64,255,0 }, { 0, 72,255,0 }, { 0, 80,255,0 }, { 0, 88,255,0 }, //44
{ 0, 96,255,0 }, { 0,104,255,0 }, { 0,112,255,0 }, { 0,120,255,0 }, //48
{ 0,128,255,0 }, { 0,136,255,0 }, { 0,144,255,0 }, { 0,152,255,0 }, //52
{ 0,160,255,0 }, { 0,168,255,0 }, { 0,176,255,0 }, { 0,184,255,0 }, //56
{ 0,192,255,0 }, { 0,200,255,0 }, { 0,208,255,0 }, { 0,216,255,0 }, //60
{ 0,224,255,0 }, { 6,232,255,0 }, { 0,240,255,0 }, { 0,248,255,0 }, //64
{ 0,255,255,0 }, { 0,255,247,0 }, { 0,255,239,0 }, { 0,255,231,0 }, //68
{ 0,255,223,0 }, { 0,255,215,0 }, { 0,255,207,0 }, { 0,255,199,0 }, //72
{ 0,255,191,0 }, { 0,255,183,0 }, { 0,255,175,0 }, { 0,255,167,0 }, //76
{ 0,255,159,0 }, { 0,255,151,0 }, { 0,255,143,0 }, { 0,255,135,0 }, //80
{ 0,255,127,0 }, { 0,255,119,0 }, { 0,255,111,0 }, { 0,255,103,0 }, //84
{ 0,255, 95,0 }, { 0,255, 87,0 }, { 0,255, 79,0 }, { 0,255, 71,0 }, //88
{ 0,255, 63,0 }, { 0,255, 55,0 }, { 0,255, 47,0 }, { 0,255, 39,0 }, //92
{ 0,255, 31,0 }, { 0,255, 23,0 }, { 0,255, 15,0 }, { 0,255, 7,0 }, //96
{ 0,255, 0,0 }, { 8,255, 0,0 }, { 16,255, 0,0 }, { 24,255, 0,0 }, //100
{ 32,255, 0,0 }, { 40,255, 0,0 }, { 48,255, 0,0 }, { 56,255, 0,0 }, //104
{ 64,255, 0,0 }, { 72,255, 0,0 }, { 80,255, 0,0 }, { 88,255, 0,0 }, //108
{ 96,255, 0,0 }, { 104,255, 0,0 }, { 112,255, 0,0 }, { 120,255, 0,0 }, //112
{ 128,255, 0,0 }, { 136,255, 0,0 }, { 144,255, 0,0 }, { 152,255, 0,0 }, //116
{ 160,255, 0,0 }, { 168,255, 0,0 }, { 176,255, 0,0 }, { 184,255, 0,0 }, //120
{ 192,255, 0,0 }, { 200,255, 0,0 }, { 208,255, 0,0 }, { 216,255, 0,0 }, //124
{ 224,255, 0,0 }, { 232,255, 0,0 }, { 240,255, 0,0 }, { 248,255, 0,0 }, //128
{ 255,255, 0,0 }, { 255,251, 0,0 }, { 255,247, 0,0 }, { 255,243, 0,0 }, //132
{ 255,239, 0,0 }, { 255,235, 0,0 }, { 255,231, 0,0 }, { 255,227, 0,0 }, //136
{ 255,223, 0,0 }, { 255,219, 0,0 }, { 255,215, 0,0 }, { 255,211, 0,0 }, //140
{ 255,207, 0,0 }, { 255,203, 0,0 }, { 255,199, 0,0 }, { 255,195, 0,0 }, //144
{ 255,191, 0,0 }, { 255,187, 0,0 }, { 255,183, 0,0 }, { 255,179, 0,0 }, //148
{ 255,175, 0,0 }, { 255,171, 0,0 }, { 255,167, 0,0 }, { 255,163, 0,0 }, //152
{ 255,159, 0,0 }, { 255,155, 0,0 }, { 255,151, 0,0 }, { 255,147, 0,0 }, //156
{ 255,143, 0,0 }, { 255,139, 0,0 }, { 255,135, 0,0 }, { 255,131, 0,0 }, //160
{ 255,127, 0,0 }, { 255,123, 0,0 }, { 255,119, 0,0 }, { 255,115, 0,0 }, //164
{ 255,111, 0,0 }, { 255,107, 0,0 }, { 255,103, 0,0 }, { 255, 99, 0,0 }, //168
{ 255, 95, 0,0 }, { 255, 91, 0,0 }, { 255, 87, 0,0 }, { 255, 83, 0,0 }, //172
{ 255, 79, 0,0 }, { 255, 75, 0,0 }, { 255, 71, 0,0 }, { 255, 67, 0,0 }, //176
{ 255, 63, 0,0 }, { 255, 59, 0,0 }, { 255, 55, 0,0 }, { 255, 51, 0,0 }, //180
{ 255, 47, 0,0 }, { 255, 43, 0,0 }, { 255, 39, 0,0 }, { 255, 35, 0,0 }, //184
{ 255, 31, 0,0 }, { 255, 27, 0,0 }, { 255, 23, 0,0 }, { 255, 19, 0,0 }, //188
{ 255, 15, 0,0 }, { 255, 11, 0,0 }, { 255, 7, 0,0 }, { 255, 3, 0,0 }, //192
{ 255, 0, 0,0 }, { 255, 4, 4,0 }, { 255, 8, 8,0 }, { 255, 12, 12,0 }, //196
{ 255, 16, 16,0 }, { 255, 20, 20,0 }, { 255, 24, 24,0 }, { 255, 28, 28,0 }, //200
{ 255, 32, 32,0 }, { 255, 36, 36,0 }, { 255, 40, 40,0 }, { 255, 44, 44,0 }, //204
{ 255, 48, 48,0 }, { 255, 52, 52,0 }, { 255, 56, 56,0 }, { 255, 60, 60,0 }, //208
{ 255, 64, 64,0 }, { 255, 68, 68,0 }, { 255, 72, 72,0 }, { 255, 76, 76,0 }, //212
{ 255, 80, 80,0 }, { 255, 84, 84,0 }, { 255, 88, 88,0 }, { 255, 92, 92,0 }, //216
{ 255, 96, 96,0 }, { 255,100,100,0 }, { 255,104,104,0 }, { 255,108,108,0 }, //220
{ 255,112,112,0 }, { 255,116,116,0 }, { 255,120,120,0 }, { 255,124,124,0 }, //224
{ 255,128,128,0 }, { 255,132,132,0 }, { 255,136,136,0 }, { 255,140,140,0 }, //228
{ 255,144,144,0 }, { 255,148,148,0 }, { 255,152,152,0 }, { 255,156,156,0 }, //232
{ 255,160,160,0 }, { 255,164,164,0 }, { 255,168,168,0 }, { 255,172,172,0 }, //236
{ 255,176,176,0 }, { 255,180,180,0 }, { 255,184,184,0 }, { 255,188,188,0 }, //240
{ 255,192,192,0 }, { 255,196,196,0 }, { 255,200,200,0 }, { 255,204,204,0 }, //244
{ 255,208,208,0 }, { 255,212,212,0 }, { 255,216,216,0 }, { 255,220,220,0 }, //248
{ 255,224,224,0 }, { 255,228,228,0 }, { 255,232,232,0 }, { 255,236,236,0 }, //252
{ 255,240,240,0 }, { 255,244,244,0 }, { 255,248,248,0 }, { 255,252,252,0 }, //256
C#开发PACS、RIS医学影像处理系统
目录整理:
(一)PACS客户端:
C#开发PACS医学影像处理系统(一):开发背景和功能预览
C#开发PACS医学影像处理系统(二):界面布局之菜单栏
C#开发PACS医学影像处理系统(三):界面布局之工具栏
C#开发PACS医学影像处理系统(四):界面布局之状态栏
C#开发PACS医学影像处理系统(五):查询病人信息列表
C#开发PACS医学影像处理系统(六):加载Dicom影像
C#开发PACS医学影像处理系统(七):读取影像Dicom信息
C#开发PACS医学影像处理系统(八):单元格变换
C#开发PACS医学影像处理系统(九):序列控件与拖拽
C#开发PACS医学影像处理系统(十):Dicom影像下载策略与算法
C#开发PACS医学影像处理系统(十一):Dicom影像挂片协议
C#开发PACS医学影像处理系统(十二):绘图处理之图形标记
C#开发PACS医学影像处理系统(十三):绘图处理之病灶测量
C#开发PACS医学影像处理系统(十四):处理Dicom影像窗宽窗位
C#开发PACS医学影像处理系统(十五):Dicom影像交叉定位线算法
C#开发PACS医学影像处理系统(十六):2D处理之影像平移和缩放
C#开发PACS医学影像处理系统(十七):2D处理之影像旋转和翻转
C#开发PACS医学影像处理系统(十八):Dicom使用LUT色彩增强和反色
C#开发PACS医学影像处理系统(十九):Dicom影像放大镜
(二)PACS三维:MRP、MIP、VR
C#开发PACS医学影像三维重建(一):使用VTK三维重建Dicom影像
(三)PACS网页端:开发Web版本的PACS
C#开发Web端PACS(一):基于PACS客户端思想重写Web端
(四)PACS移动端:开发基于HTML5移动端版本的PACS
C#开发移动端PACS(一):使用HTML5和CSS3开发PACS手机端页面
C#开发移动端PACS(二):使用 .Net MVC 开发手机端PACS服务端
(五)PACS服务端:
C#开发PACS医学影像处理系统服务端(一):医疗设备的连接与收图
C#开发PACS医学影像处理系统服务端(二):高并发架构
(六)PACS与RIS系统的通信与集成
在RIS系统中调起PACS并打开Dicom影像
(七)云PACS与远程会诊
C#开发PACS医学影像处理系统之云PACS(区域PACS)(一):架构概述
C#开发PACS医学影像处理系统之云PACS(区域PACS)(二):远程会诊与双向转诊
(八)科幻级视频特效:使用Adobe After Effects 制作PACS影像处理系统宣传视频
QQ:1850969244 近10年开发经验,主攻C#、ASP MVC,HTML5, B/S C/S 皆可,目前研究医疗领域医学影像相关技术, 任何技术问题欢迎加QQ交流。 |