# Dicom-Viewer **Repository Path**: iint/Dicom-Viewer ## Basic Information - **Project Name**: Dicom-Viewer - **Description**: No description available - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-08-07 - **Last Updated**: 2021-08-07 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

Dicom Viewer

簡易醫學影像GUI (Dicom Viewer)

能顯示 2D/3D Dicom影像的應用


本project旨在利用python+Qt製作簡易的醫學影像GUI,提供一個平台,能在上面使用python開發測試各式影像處理功能,尤其是針對3D之Dicom Stack! ## 先看兩段Demo吧 ### 2D Image Processing ### 3D Image Processing ## 執行畫面 執行程式會打開Main Window,左上角的選單有2D processing和3D processing兩個子選項,其中後者embed有3D volume reconstruction功能 ### Main Window mainwindow ### 2D processing 內含功能 - Load Image (含*.dcm) - Save Image - Convert to gray scale - Restore - Thresholding - Region Growing - Morthology (Dilation, Erosion, Opening, Closing) - Edge Detection (Laplacian, Sobel, Perwitt, Frei & Chen) - Drawing
2D_Processing ### 3D processing 內含功能 - Load DICOM stack - Save slice (axial, sagittal, coronal) - Colormap transform - Slider scrolling - Mouse hovering/clicking - Show DICOM info - Show slice index coordinate - 3D volume reconstruction
3D_Processing ### 3D volume reconstruction
3D_Volume ## Future Extension - 加入數據分析功能 >導入一些醫學知識,讓軟體有一些初步的分析功能(如有沒有骨折、腫瘤等等) - 3D reconstruction改善 >更新volume重建算法,提升計算速度與還原度 - 3D image processing >加入對3D voxel影像進行更複雜的影像處理功能 - Make it distributable >包裝成release版本,成為可轉散發軟體。希望能支援跨平台運作(window、macOS) ## How to use it? Project root will be **/src**, just clone it and run mainwindow.py. Strictly follow the package version in requirements.txt is not necessary. ## Acknowledgments - [brain.png](https://github.com/wenyalintw/Dicom-Viewer/blob/master/resources/brain.png) licensed under "CC BY 3.0" downloaded from [ICONFINDER](https://www.iconfinder.com/icons/1609653/brain_organs_icon) - 3D volumn reconstruction modified from [Howard Chen's Post](https://www.raddq.com/dicom-processing-segmentation-visualization-in-python/) ###### MIT License (2019), Wen-Ya Lin