Title
Bidirectional segmentation of prostate capsule from ultrasound volumes: an improved strategy
Abstract
Prostate volume is an indirect indicator for several prostate diseases. Volume estimation is a desired requirement during prostate biopsy, therapy and clinical follow up. Image segmentation is thus necessary. Previously, discrete dynamic contour (DDC) was implemented in orthogonal unidirectional on the slice-by-slice basis for prostate boundary estimation. This suffered from the glitch that it needed stopping criteria during the propagation of segmentation procedure from slice-to-slice. To overcome this glitch, axial DDC was implemented and this suffered from the fact that central axis never remains fixed and wobbles during propagation of segmentation from slice-to-slice. The effect of this was a multi-fold reconstructed surface. This paper presents a bidirectional DDC approach, thereby removing the two glitches. Our bidirectional DDC protocol was tested on a clinical dataset on 28 3-D ultrasound image volumes acquired using side fire Philips transrectal ultrasound. We demonstrate the orthogonal bidirectional DDC strategy achieved the most accurate volume estimation compared with previously published orthogonal unidirectional DDC and axial DDC methods. Compared to the ground truth, we show that the mean volume estimation errors were: 18.48%, 9.21% and 7.82% for unidirectional, axial and bidirectional DDC methods, respectively. The segmentation architecture is implemented in Visual C++ in Windows environment.
Year
DOI
Venue
2008
10.1117/12.770569
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Keywords
Field
DocType
prostate volume,segmentation,bidirectional DDC
Glitch,Computer vision,Anatomy,Segmentation,Prostate biopsy,Image segmentation,Ground truth,Artificial intelligence,Volume estimation,Prostate Capsule,Medicine,Ultrasound
Conference
Volume
ISSN
Citations 
6914
0277-786X
1
PageRank 
References 
Authors
0.37
1
8
Name
Order
Citations
PageRank
Liyang Wei116712.04
ramakrishnan narayanan212.40
Dinesh Kumar324745.04
Aaron Fenster427067.27
Albaha Barqawi512.06
P. N. Werahera6224.85
E David Crawford711.04
Jasjit S. Suri81754128.89