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About this blog

A blog focused on medical imaging technology and 3D printing.   My interests are using medical imaging data to create anatomical models for instruction, surgical planning, prosthesis, and other relevant projects.

 

www.med-mod.com

Entries in this blog

Segmentation of a foot MRI scan

So I have seen some questions here on embodi3D asking how to work with MRI data.  I believe the main issue to be with attempting to segment the data using a threshold method.  The democratiz3D feature of the website simplifies the segmentation process but as far as I can tell relies on thresholding which can work somewhat well for CT scans but for MRI is almost certain to fail.  Using 3DSlicer I show the advantage of using a region growing method (FastGrowCut) vs threshold.  

mikefazz

mikefazz

3D Printed Wrist Brace

So I began to develop some pain in my right wrist which was later diagnosed as tendinitis. At the same time I had been looking at the CT scan of my abdomen and noticed they also captured my right hand as it was resting on my stomach during the scan (I had injured my right shoulder again).     I recalled a concept project a while back I had seen: the CORTEX brace. It presented the idea of replacing the typical plaster cast with a 3D printed one which would prevent the iss

mikefazz

mikefazz

Region Growing Image Segmentation

I wanted to take some time to look into a brief history of medical image segmentation before moving into what I consider the more modern method of segmentation.  (be warned video is rather long)     First to be clear the goal of segmentation is to separate the bones or anatomy of interest from 3D scan data.  This is done most easily when there is a sharp contrast between the anatomy of interest and what surrounds it.  If you have a CT scan of an engine block this is pret

mikefazz

mikefazz

Registration with 3DSlicer

In this entry we look at registering one scan to another from the same subject pre and post op.     There may come a time when you have multiple scans of the same subject which you want to compare to each other.  This could be a CT and an MRI or a pre and post op scan as in this example.  Since the scans were taken at different times and possibly different places they will not line up with each other when they are loaded.  Registration is the process that can find the tr

mikefazz

mikefazz

Dicom Primer

In this tutorial I will cover some of the basics on working with dicom data with a focus on anatomizing, and reading into medical imaging software as well as how to potentially fix problematic scans.     So first of all what is DICOM data?  It is a standard file type for basically all medical imaging devices (CT, MRI, US, PET, X-ray, etc), DICOM stands for Digital Imaging and COmmunication in Medicine and along with the file format, and the tags, it is designed to be tra

mikefazz

mikefazz

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