3D/2D rodent brain extraction using shape model and instance learning
Accurate rodent brain extraction is one of the basic steps for many translational study using Magnetic Resonance Imaging (MRI). In this report, we present a new approach to model the rodent brain variation using non-rigid B-spline image registration for the brain extraction in MRI images. We mode...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2017
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/72200 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Accurate rodent brain extraction is one of the basic steps for many translational study using
Magnetic Resonance Imaging (MRI). In this report, we present a new approach to model the
rodent brain variation using non-rigid B-spline image registration for the brain extraction in
MRI images. We model the shape and appearance with the B-spline parameters together with
a mean brain image. Followed by a method using multi-expert, we refine the brain extraction
region. Compared with the image-based template model using cross-correlation, the
performance for rodent brain extraction has shown much improvement on one data set while
maintaining the similar yet more consistent performance for another. Both template based
methods however outperform the voxel based method (3D PCNN) and a modified BET version
for rodent brain extraction. |
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