Computerised prostate boundary estimation of ultrasound images using radial bas-relief method.
A new method is presented for automatic prostate boundary detection in ultrasound images taken transurethrally or transrectally. This is one of the stages in the implementation of a robotic procedure for prostate surgery performed by a robot known as the robot for urology (UROBOT). Unlike most edge detection methods, which detect object edges by means of either a spatial filter (such as Sobel, Laplacian or something of that nature) or a texture descriptor (local signal-to-noise ratio, joint probability density function etc.), this new approach employs a technique called radial bas-relief (RBR) to outline the prostate boundary area automatically. The results show that the RBR method works well in the detection of the prostate boundary in ultrasound images. It can also be useful for boundary detection problems in medical images where the object boundary is hard to detect using traditional edge detection algorithms, such as ultrasound of the uterus and kidney.
Liu
Y J
YJ
Nanyang Technological University, School of Mechanical & Production Engineering, Singapore.
Ng
W S
WS
Teo
M Y
MY
Lim
H C
HC
D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted; D008297:Male; D011467:Prostate / Q000000981:diagnostic imaging*; D011468:Prostatectomy; D011470:Prostatic Hyperplasia / Q000000981:diagnostic imaging* / Q000601:surgery; D012371:Robotics; D014463:Ultrasonography