Update README.md

README.md

-# WebSiteTutorials
+# Tutorials
+
+## Structure of the Examples#
+The examples provided should work as a template or starting point for doing analysis 
+of volumetric data from the synchrotron or other imaging modalities. Most of the examples 
+are provides as Jupyter notebooks, which is a handy tool to develop code in a report like 
+manner, including text and mathematical notation. Each example has a description and a 
+link to a notebook. Some examples might require you to compile code or are provided in 
+a language which is not supported by Jupyter notebooks, in that case, detailed instructions 
+should be provided.
+
+### Introduction
+* 01_JupyterNotebook: Introduction to Jupyter notebooks and Python 
+* 02_NumPy: Introduction to NumPy
+* 03_Matplotlib: Introduction to Matplitlib
+* 04_Debug: Debugging and more
+
+### Segmentation
+* 01_Introdution: Introduction to segmentation
+* 02_Filtering: Filtering
+* 03_FeatureDetection: Segmentation and feature detection
+* 04_EdgeLineDetection: Edge and line detection
+* 05_BiasedCorrection: Segmentation of chalk
+* 06_LaplaceFilter: Segmentation of blob
+
+#### Data
+* data_chalk
+* data_examples
+* data_fibers
+
+### Reconstruction
+* 01_FBP: Basic data simulation and reconstruction by filtered back-projection (FBP)
+* 02_Load: Load raw data and apply flat and dark field corrections
+* 03_RealReconstructionChalk: Reconstruct synchrotron data
+* 04_IterativeReconstruction: Iterative reconstruction methods
+* 05_FanBeam: Fan-beam geometry
+* 06_ROI: The region-of-interest (ROI) problem
+* 07_RealReconstructionBundle: Reconstruction of large field of view (LFoV) bundle data set
+* 08_RealReconstructionFibers: Reconstruction of FoV2_5mm fiber data set
+
+### Advanced Image Analysis Note
+Contains the note.pdf of Advanced Image analysis course at DTU