Rapid and Automated Extraction of the Fourth Ventricle from MR Images

Yan Xia, Aamer Aziz, QingMao Hu, Wieslaw L. Nowinski

Research output: Book chapter/Published conference paperConference paperpeer-review

1 Citation (Scopus)


This paper describes a rapid and automated method that extracts the fourth ventricle from MR brain images in normal and pathological subjects. Anatomical knowledge of fourth ventricle has been incorporated into the method to define a region of interest (ROI), determine intensity thresholds in the histogram of ROI, locate the starting point for the 3D region growing, and extract all parts of the fourth ventricle and aqueduct (even if they are disconnected on images as well as to avoid inclusion of non-ventricular cerebrospinal fluid regions). The method was validated qualitatively on 30 MRI studies with variable parameters. The best overlap metric between a radiology expert and the method was 0.9988 and the worst 0.9621 on 10 quantitative studies. The mean and standard deviation of overlap metric were 0.9806 and 0.0105.
Original languageEnglish
Title of host publicationInternational Conference, Medical Image Computing and Computer-Assisted Intervention (MICCAI)
Place of PublicationBerlin / Heidelberg
Number of pages9
Publication statusPublished - 2003
EventMICCAI 2003: 6th International Conference - Montreal, Canada, Canada
Duration: 15 Nov 200318 Nov 2003


ConferenceMICCAI 2003: 6th International Conference


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