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This image processing method considers only the magnitude volume of SW images. This method is not perfect, but this gives a 'quick and dirty' way of looking into the distribution of veins in a particular ROI. The extracted magnitude brain does show the veinous arrangements but it is dificult to segment it out, because the veins appear black in the magnitude image with not so good contrast with surrounding tissues.   \begin{itemize}  \item \textbf{Step 1}: 1: Inverting}  The magnitude image is inverted by multiplying each voxel value with '-1'.  \begin{figure}[h!]  \caption{A picture of a gull.}  \centering  \includegraphics[width=0.5\textwidth]{figures/orig_mag.png}  \end{figure} \item \textbf{Step 2: Normalizing and Contrast Scaling}  The inverted image is normalized in the range '0-1' by subtracting each voxel value with the minimum value and dividing it with the range. Then It is scaled along any arbitrary intensity scale as required.  \item \textbf{Step 2}: 2: Thresholding}  Upon looking at voxel intensities of the invered and scaled image in fslview, aparticular threshold limit has to be decided. All voxels having intensities avove the particular set threshhold are going to be considered as 'veins' voxel.  \end{itemize}