NITRC News Group Forum: automatic-segmentation-of-ventricular-cerebrospinal-fluid-from-ischemic-stroke-ct-images

NITRC News Group Forum: automatic-segmentation-of-ventricular-cerebrospinal-fluid-from-ischemic-stroke-ct-images http://www.nitrc.org/forum/forum.php?forum_id=2362 <div class="Abstract" lang="en"><a name="Abs1"></a>Abstract  <div class="normal">Accurate segmentation of ventricular cerebrospinal fluid (CSF) regions in stroke CT images is important in assessing stroke patients. Manual segmentation is subjective, time consuming and error prone. There are currently no methods dedicated to extracting ventricular CSF regions in stroke CT images. 102 ischemic stroke CT scans (slice thickness between 3 and 6 mm, voxel size in the axial plane between 0.390 and 0.498 mm) were acquired. An automated template-based algorithm is proposed to extract ventricular CSF regions which accounts for the presence of ischemic infarct regions, image noise, and variations in orientation. First, template VT2 is registered to the scan using landmark-based piecewise linear scaling and then template VT1 is used to further refine the registration by partial segmentation of the fourth ventricle. A region of interest (ROI) is found using the registered VT2. Automated thresholding is then applied to the ROI and the artifacts are removed in the final phase. Sensitivity, dice similarity coefficient, volume error, conformity and sensibility of segmentation results were 0.74 ± 0.12, 0.8 ± 0.09, 0.16 ± 0.11, 0.45 ± 0.39, 0.88 ± 0.09, respectively. The processing time for a 512 × 512 × 30 CT scan takes less than 30 s on a 2.49 GHz dual core processor PC with 4 GB RAM. Experiments with clinical stroke CT scans showed that the proposed algorithm can generate acceptable results in the presence of noise, size variations and orientation differences of ventricular systems and in the presence of ischemic infarcts. </div> </div><ul> <li>Content Type Journal Article</li><li>Category Original Article</li><li>Pages 1-14</li><li>DOI 10.1007/s12021-011-9135-9</li><li>Authors<ul> <li>L. E. Poh, Biomedical Imaging Lab, Agency for Science Technology and Research, 30 Biopolis Street, #07-01 Matrix, Singapore, 138671 Singapore</li><li>V. Gupta, Biomedical Imaging Lab, Agency for Science Technology and Research, 30 Biopolis Street, #07-01 Matrix, Singapore, 138671 Singapore</li><li>A. Johnson, Biomedical Imaging Lab, Agency for Science Technology and Research, 30 Biopolis Street, #07-01 Matrix, Singapore, 138671 Singapore</li><li>R. Kazmierski, Department of Neurology and Cerebrovascular Disorders, Poznan University of Medical Sciences, L. Bierkowski Hospital, Poznan, Poland</li><li>W. L. Nowinski, Biomedical Imaging Lab, Agency for Science Technology and Research, 30 Biopolis Street, #07-01 Matrix, Singapore, 138671 Singapore</li> </ul></li> </ul><ul class="parents"> <ul class="details"> <li>Journal <a href="http://www.springerlink.com/content/120559/">Neuroinformatics</a></li><li>Online ISSN 1559-0089</li><li>Print ISSN 1539-2791</li> </ul> </ul> en-us Copyright 2000-2026 NITRC OSI Sun, 19 Apr 2026 20:48:18 GMT http://blogs.law.harvard.edu/tech/rss NITRC RSS generator