TY - JOUR
T1 - An abdominal aortic aneurysm segmentation method
T2 - Level set with region and statistical information
AU - Zhuge, Feng
AU - Rubin, Geoffrey D.
AU - Sun, Shaohua
AU - Napel, Sandy
N1 - Funding Information:
We are grateful for the support of the National Institutes of Health (Nos. NHLBI R01 HL67194 and NHLBI R01 HL58915).
PY - 2006
Y1 - 2006
N2 - We present a system for segmenting the human aortic aneurysm in CT angiograms (CTA), which, in turn, allows measurements of volume and morphological aspects useful for treatment planning. The system estimates a rough "initial surface," and then refines it using a level set segmentation scheme augmented with two external analyzers: The global region analyzer, which incorporates a priori knowledge of the intensity, volume, and shape of the aorta and other structures, and the local feature analyzer, which uses voxel location, intensity, and texture features to train and drive a support vector machine classifier. Each analyzer outputs a value that corresponds to the likelihood that a given voxel is part of the aneurysm, which is used during level set iteration to control the evolution of the surface. We tested our system using a database of 20 CTA scans of patients with aortic aneurysms. The mean and worst case values of volume overlap, volume error, mean distance error, and maximum distance error relative to human tracing were 95.3%±1.4% (s.d.); worst case=92.9%, 3.5%±2.5% (s.d.); worst case=7.0%, 0.6±0.2 mm (s.d.); worst case=1.0 mm, and 5.2±2.3mm (s.d.); worstcase=9.6 mm, respectively. When implemented on a 2.8 GHz Pentium IV personal computer, the mean time required for segmentation was 7.4±3.6min (s.d.). We also performed experiments that suggest that our method is insensitive to parameter changes within 10% of their experimentally determined values. This preliminary study proves feasibility for an accurate, precise, and robust system for segmentation of the abdominal aneurysm from CTA data, and may be of benefit to patients with aortic aneurysms.
AB - We present a system for segmenting the human aortic aneurysm in CT angiograms (CTA), which, in turn, allows measurements of volume and morphological aspects useful for treatment planning. The system estimates a rough "initial surface," and then refines it using a level set segmentation scheme augmented with two external analyzers: The global region analyzer, which incorporates a priori knowledge of the intensity, volume, and shape of the aorta and other structures, and the local feature analyzer, which uses voxel location, intensity, and texture features to train and drive a support vector machine classifier. Each analyzer outputs a value that corresponds to the likelihood that a given voxel is part of the aneurysm, which is used during level set iteration to control the evolution of the surface. We tested our system using a database of 20 CTA scans of patients with aortic aneurysms. The mean and worst case values of volume overlap, volume error, mean distance error, and maximum distance error relative to human tracing were 95.3%±1.4% (s.d.); worst case=92.9%, 3.5%±2.5% (s.d.); worst case=7.0%, 0.6±0.2 mm (s.d.); worst case=1.0 mm, and 5.2±2.3mm (s.d.); worstcase=9.6 mm, respectively. When implemented on a 2.8 GHz Pentium IV personal computer, the mean time required for segmentation was 7.4±3.6min (s.d.). We also performed experiments that suggest that our method is insensitive to parameter changes within 10% of their experimentally determined values. This preliminary study proves feasibility for an accurate, precise, and robust system for segmentation of the abdominal aneurysm from CTA data, and may be of benefit to patients with aortic aneurysms.
KW - Abdominal aortic aneurysm
KW - CT angiography
KW - Deformable model
UR - http://www.scopus.com/inward/record.url?scp=33646440020&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33646440020&partnerID=8YFLogxK
U2 - 10.1118/1.2193247
DO - 10.1118/1.2193247
M3 - Article
C2 - 16752579
AN - SCOPUS:33646440020
SN - 0094-2405
VL - 33
SP - 1440
EP - 1453
JO - Medical Physics
JF - Medical Physics
IS - 5
ER -