Micks Distractions

I’ve been suf­fer­ing dizzy attacks for the last ten years. I decided to do some­thing about it when I suf­fered some pretty bad ones just recently. I was ordered to have a full head CT scan by my Doc. Of course I had to ask for the images on CD.

This is a com­pos­ite image of the side of my nog­gin, (and if you look care­fully y
ou can see the one fill­ing in my tooth).

I’m cur­rently inves­ti­gat­ing merg­ing the indi­vid­ual slices together to see if I can
build up a nice 3D image. Of course the res­o­lu­tion isn’t that crash hot being only an Xray scan, and they’ve reduced the size of the images on CD as well.

If any­one is inter­ested, the image for­mat from the CT machine is [[DICOM]], which is a med­ical imag­ing for­mat. There are a num­ber of appli­ca­tions that read/translate to all the stan­dard image for­mats. There was one that came with the CD for Win­dows, but apart from that one I have no idea on the Win­dows platform.

If you’re run­ning Debian, (lenny), you can just apt-get them. I found imagej to be the best GUI app, and med­con for com­mand line bulk converting.

% apt-cache search dicom
aeskulap - medical image viewer and DICOM network client
ctn - Central Test Node, a DICOM implementation for medical imaging
ctn-dev - Development files for Central Test Node, a DICOM implementation
ctn-doc - Documentation for Central Test Node, a DICOM implementation
dcmtk - The OFFIS DICOM toolkit command line utilities
dcmtk-doc - The OFFIS DICOM toolkit documentation
dcmtk-www - The OFFIS DICOM toolkit worklist www server application
dicomnifti - converts DICOM files into the NIfTI format
libdcmtk1 - The OFFIS DICOM toolkit runtime libraries
libdcmtk1-dev - The OFFIS DICOM toolkit development libraries and headers
libmdc2 - Medical Image (DICOM, ECAT, ...) conversion tool
libmdc2-dev - Medical Image (DICOM, ECAT, ...) conversion tool
medcon - Medical Image (DICOM, ECAT, ...) conversion tool
xmedcon - Medical Image (DICOM, ECAT, ...) conversion tool
imagej - Image processing program inspired by NIH Image for the Macintosh

Con­vert­ing the files to some­thing more palat­able, (and eas­ily viewed), was as sim­ple as run­ning the fol­low­ing on all the DICOM files:

% medcon -24 -c png -n -v -contrast -f 

After this con­ver­sion you get images like this:

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