Update README.md

README.md

@@ -1,22 +1,37 @@
-# Path_planning_for_FEVAR
+# Path_planning_for_FEVAR #
 [![DOI](https://img.shields.io/badge/DOI-10.1109%2FICRA.2019.8793918-darkyellow)](https://ieeexplore.ieee.org/abstract/document/8793918/)
 |
 [![arXiv](https://img.shields.io/badge/arXiv-1809.05955-b31b1b.svg)](https://arxiv.org/abs/1809.05955)
 
-Code for [Towards 3d path planning from a single 2d fluoroscopic image for robot assisted fenestrated endovascular aortic repair](https://ieeexplore.ieee.org/abstract/document/8793918)
+Code for *ICRA'2020* paper [Towards 3d path planning from a single 2d fluoroscopic image for robot assisted fenestrated endovascular aortic repair](https://ieeexplore.ieee.org/abstract/document/8793918)
+
+### Contents ###
+- [0. Brief Introduction](#0-brief-intro)
+- [1. Installation](#1-requirement)
+- [2. Usage](#2-usage)
+  - [2.1. Training (optional)](#21-training-optional)
+  - [2.2a. Inference by entering data](#22a-inference-by-entering-data)
+  - [2.2b. Batch Inference](#22b-batch-inference)
+- [3. Citing this work](#3-citing-this-work)
+
+---
+## 0. Brief Intro ##
 
 * 3D abdominal aorta shape and the center line recovered from one 2D X-ray image
 ![header](imgs/demo-recover.gif)
 
 * how it looks like when a catheter move through the recovered center line of aorta
 ![header](imgs/demo-visual.gif)
 
+---
 
-## Requirement
+## 1. Requirement ##
 [![OS-WIN](https://img.shields.io/badge/OS-Windows%7CLinux-darkblue)]()
 [![Matlab](https://img.shields.io/badge/Matlab-R2016a%7CR2017a-blue)](https://www.mathworks.com/products/matlab.html)
 
-## Usage
+---
+
+## 2. Usage ##
 ```
 $DOWNLOAD_DIR/
 ├── data/
@@ -43,27 +58,27 @@ $DOWNLOAD_DIR/
 ```
 
 
-### Script 'demo_2D3Dregist.m': ###
+### 2.1. Script 'demo_2D3Dregist.m': ###
 
-This demostrates how to recover a 3D skeleton for the robotic path from a 2D intra-operative segmented aneurysm shape and a 3D pre-operative skeleton.It will import a 2D jpg image of pre-operative fluoroscopy, a 2D segmentation label, and a 3D skeleton. It will display the time cost for registration of 2D/3D skeletons, the intra-operative (ground truth) skeleton, pre-operative skeleton and our prediction, as well as the evaluated distance errors in 2D and 3D.
+This demonstrates how to recover a 3D skeleton for the robotic path from a 2D intra-operative segmented aneurysm shape and a 3D pre-operative skeleton. It will import a 2D jpg image of pre-operative fluoroscopy, a 2D segmentation label, and a 3D skeleton. It will display the time cost for registration of 2D/3D skeletons, the intra-operative (ground truth) skeleton, the pre-operative skeleton, and our prediction, as well as the evaluated distance errors in 2D and 3D.
 
-### Folder 'function': ###
+### 2.2. Folder 'function': ###
 
-It includes all the codes written for the deformable registration between 2D and 3D skeleton.
+It includes all the codes written for the deformable registration between 2D and 3D skeletons.
 * Please kindly read the license in each file.
 
-### Folder 'data': ###
+### 2.3. Folder 'data': ###
 
-It includes the imported data used in demonstration.
+It includes the imported data used in the demonstration.
 
-### Folder 'external': ###
+### 2.4. Folder 'external': ###
 
 It includes redistributed codes used in the demonstration.
 * Please kindly read the license in each file.
 
-## For the citation
-* For any academic publication using the codes in this folder, please kindly cite:<br />
-  J. Q. Zheng, X. Y. Zhou, C. Riga and G. Z. Yang, "Towards 3d path planning from a single 2d fluoroscopic image for robot assisted fenestrated endovascular aortic repair", IEEE International Conference on Robotics and Automation (ICRA), 2019.
+## 3. For the citation
+For any academic publication using the codes in this folder, please kindly cite:
+- J. Q. Zheng, X. Y. Zhou, C. Riga and G. Z. Yang, "Towards 3d path planning from a single 2d fluoroscopic image for robot assisted fenestrated endovascular aortic repair", IEEE International Conference on Robotics and Automation (ICRA), 2019.
 ```bibtex
 @inproceedings{zheng2019towards,
   title={Towards 3d path planning from a single 2d fluoroscopic image for robot assisted fenestrated endovascular aortic repair},