- Preview Our Data!
August 12, 2010 - Interactive watershed code!
August 3, 2010 - How Human Bones Grow
October 15, 2009
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Preview Our Data!
August 12, 2010
We are very excited to announce that the preview of our bone database is
now online
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Interactive watershed code!
August 3, 2010
It's been a long time coming, but it's finally here: the code for the Interactive Watershed Transform we used to fully segment and separate individual bones from CT scans!
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How Human Bones Grow
October 15, 2009
Most people I speak to are surprised to find out that the bones in the
arms and legs are separated into three pieces in children and only fuse
together late into the teen years. However, this well documented fact helps
pediatricians determine the biological maturity (age) of a child by analyzing
the X-ray of the child's hand and wrist (see, for example, the
Hand Bone Age book). Further, a company by the name of
BoneXpert has created an automated
system to accomplish this task! What follows is a brief description of
how human bones grow.
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Another Data Source
September 30, 2009
So far, we have discussed using medical images to extract human bone shapes
for analysis. This is not, however, the only source of data for human bone
shapes. Another accurate source of human bone geometry are human bones
from human remains.
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Using the Interactive Watershed Transform
September 22, 2009
Given all the previous research work to separate bones in CT scans, we
decided to give some of the techniques a whirl. We showed in our previous
post our results using the "c-plane" and sheetness techniques. Here
we discuss our implementation of the Interactive Watershed Transform (IWT).
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More About Bone Segmentation from CT Images
September 17, 2009
Thresholding the CT image is a simple way to separate bone tissue from soft
tissue. Some of the drawbacks of this fully automated technique, however, are
the merging together of nearby bones and the creation of holes in the data
where the bone is thin or very spongy. In what follows, we discuss some of
the segmentation techniques developed to improve the correct segmentation
of bony structures from CT scans.
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Thresholding: A Basic Segmentation Technique
September 9, 2009
In order to work with the bone data directly, we must separate it from the
rest of the tissue data in the scan. We can easily achieve this
segmentation by carefully labeling all bright points in the scan
as bone and all darker points as air. Thus, we would separate all of the
bone voxels from the tissue voxels.
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Scanning Technologies
August 27, 2009
Our goal is to build a statistical model of shape variation in the human skeleton due to age, sex, and geographic origin. We want to compare and quantify differences in shape among a large collection of human bone shapes with enough digital specimens that we can create a model of how the bones’ shape varies using statistical techniques. Note that we are interested in variations of the complete 3D shape and not simply landmark measurements.
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