Implementing the Automatic Generation of 3D Statistical Shape Models with ITK

Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/224
Statistical Shape Models are a popular method for segmenting three-dimensional medical images. To
obtain the required landmark correspondences, various automatic approaches have been proposed. In
this work, we present an improved version of minimizing the description length (MDL) of the model. To
initialize the algorithm, we describe a method to distribute landmarks on the training shapes using a conformal
parameterization function. Then, we introduce a novel procedure to modify landmark positions
locally without disturbing established correspondences. We employ a gradient descent optimization to
minimize the MDL cost function, speeding up automatic model building by several orders of magnitude
when compared to the original MDL approach. The necessary gradient information is estimated from
a singular value decomposition, a more accurate technique to calculate the PCA than the commonly
used eigendecomposition of the covariance matrix. In this work, we first present a basic version where
spatial locations are used in the MDL cost function; next, we introduce an extended version where any
combination of features can be used as a metric. As an example application, we present results based on
local curvature measurements. Finally, we present results for synthetic and real-world datasets demonstrating
the efficiency of our procedures and give details about the implementation using the Insight
Toolkit (ITK).
Data
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Code
minus Automatic Testing Results by Insight-Journal Dashboard on Fri Dec 30 09:00:26 2011 for revision #12
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plus Automatic Testing Results by Insight-Journal Dashboard on Mon Nov 20 22:43:14 2006 for revision #11
starstarstarstarstar expertise: 5 sensitivity: 5
plus Automatic Testing Results by Insight-Journal Dashboard on Sun Nov 19 21:43:55 2006 for revision #10
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plus Automatic Testing Results by Insight-Journal Dashboard on Thu Oct 12 13:59:22 2006 for revision #9
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plus Automatic Testing Results by Insight-Journal Dashboard on Fri Aug 25 11:52:16 2006 for revision #8
starstarstarstarstar expertise: 5 sensitivity: 4.7
plus Automatic Testing Results by Insight-Journal Dashboard on Fri Aug 18 15:14:18 2006 for revision #7
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plus Automatic Testing Results by Insight-Journal Dashboard on Fri Jul 21 17:50:32 2006 for revision #6
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plus Automatic Testing Results by Insight-Journal Dashboard on Wed Jul 19 19:23:17 2006 for revision #5
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plus Automatic Testing Results by Insight-Journal Dashboard on Wed Jul 19 15:15:00 2006 for revision #4
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plus Automatic Testing Results by Insight-Journal Dashboard on Wed Jul 19 14:49:20 2006 for revision #3
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plus Automatic Testing Results by Insight-Journal Dashboard on Wed Jul 19 13:31:47 2006 for revision #2
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plus Automatic Testing Results by Insight-Journal Dashboard on Mon Jul 10 22:17:29 2006 for revision #1
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Reviews
plus Good tool for correspondence problem. by Ekaterina Syrkina on 12-12-2006 for revision #11
starstarstarstarstar expertise: 3 sensitivity: 5
plus Shape model generation by Jim Miller on 08-30-2006 for revision #8
starstarstarstarstar expertise: 3 sensitivity: 4.3
plus Useful Software. A more general framework design needed. by Ghassan Hamarneh on 08-30-2006 for revision #8
starstarstarstarstar expertise: 4 sensitivity: 4.7
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Categories: Data, Programming, Programming
Keywords: Correspondence, Statistical Shape Analysis
Toolkits: ITK, CMake
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