Prostate segmentation in 2D ultrasound images using image warping and ellipse fitting

TitleProstate segmentation in 2D ultrasound images using image warping and ellipse fitting
Publication TypeJournal Article
Year of Publication2006
AuthorsBadiei, S., S. E. Salcudean, J. Varah, and J. W. Morris
JournalMed Image Comput Comput Assist Interv
Volume9
Pagination17-24
Abstract

This paper presents a new algorithm for the semi-automatic segmentation of the prostate from B-mode trans-rectal ultrasound (TRUS) images. The segmentation algorithm first uses image warping to make the prostate shape elliptical. Measurement points along the prostate boundary, obtained from an edge-detector, are then used to find the best elliptical fit to the warped prostate. The final segmentation result is obtained by applying a reverse warping algorithm to the elliptical fit. This algorithm was validated using manual segmentation by an expert observer on 17 midgland, pre-operative, TRUS images. Distance-based metrics between the manual and semi-automatic contours showed a mean absolute difference of 0.67 +/- 0.18 mm, which is significantly lower than inter-observer variability. Area-based metrics showed an average sensitivity greater than 97% and average accuracy greater than 93%. The proposed algorithm was almost two times faster than manual segmentation and has potential for real-time applications.

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