Abstract:
OBJECTIVE:The identification of the interhemispheric fissure (IF) is important in clinical applications for brain landmark identification, registration, symmetry assessment, and pathology detection. The IF is usually approximated by the midsagittal plane (MSP) separating the brain into two hemispheres. We present a fast accurate, automatic, and robust algorithm for finding the MSP for CT scans acquired in emergency room (ER) with a large slice thickness, high partial volume effect, and substantial head tilt. MATERIALS AND METHODS:An earlier algorithm for MSP identification from MRI using the Kullback-Leibler's measure was extended for CT by estimating patient's head orientation using model fitting, image processing, and atlas-based techniques. The new algorithm was validated on 208 clinical scans acquired mainly in the ER with slice thickness ranging from 1.5 to 6 mm and severe head tilt. RESULTS:The algorithm worked robustly for all 208 cases. An angular discrepancy (degrees) and maximum distance (mm) between the calculated MSP and ground truth have the mean value (SD) 0.0258 degrees (0.9541 degrees) and 0.1472 (0.7373) mm, respectively. In average, the algorithm takes 10 s to process of a typical CT case. CONCLUSION:The proposed algorithm is robust to head rotation, and correctly identifies the MSP for a standard clinical CT scan with a large slice thickness. It has been applied in our several CT stroke CAD systems.
journal_name
Int J Comput Assist Radiol Surgauthors
Puspitasari F,Volkau I,Ambrosius W,Nowinski WLdoi
10.1007/s11548-009-0366-2subject
Has Abstractpub_date
2009-11-01 00:00:00pages
535-47issue
6eissn
1861-6410issn
1861-6429journal_volume
4pub_type
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journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
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更新日期:2011-09-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
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journal_title:International journal of computer assisted radiology and surgery
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journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
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journal_title:International journal of computer assisted radiology and surgery
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journal_title:International journal of computer assisted radiology and surgery
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journal_title:International journal of computer assisted radiology and surgery
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journal_title:International journal of computer assisted radiology and surgery
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journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章
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journal_title:International journal of computer assisted radiology and surgery
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更新日期:2014-03-01 00:00:00
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更新日期:2017-06-01 00:00:00
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journal_title:International journal of computer assisted radiology and surgery
pub_type: 杂志文章,评审
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更新日期:2014-03-01 00:00:00
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