%0 Journal Article
%T Novel Wavelet-Based Segmentation of Prostate CBCT Images with Implanted Calypso Transponders
%A Yingxia Liu
%A Ziad Saleh
%A Yulin Song
%A Maria Chan
%A Xiang Li
%A Chengyu Shi
%A Xin Qian
%A Xiaoli Tang
%J International Journal of Medical Physics,Clinical Engineering and Radiation Oncology
%P 336-343
%@ 2168-5444
%D 2017
%I Scientific Research Publishing
%R 10.4236/ijmpcero.2017.63030
%X Segmentation
of prostate Cone Beam CT (CBCT) images is an essential step towards real-time
adaptive radiotherapy (ART). It is challenging for Calypso patients, as more
artifacts generated by the beacon transponders are present <span style=\"font-family:Verdana;\">on the images. We herein propose a novel
wavelet-based segmentation algorithm for rectum, bladder, and prostate of CBCT
images with implanted Calypso transponders. For a given CBCT, a</span><span style=\"font-family:;\" \"=\"\"> </span><span style=\"font-family:Verdana;\">Moving Window-Based Double </span><span style=\"font-family:Verdana;\">Haar
(MWDH) transformation is applied first to obtain the wavelet coefficients.
Based on a user defined point in the object of interest, a cluster algorithm
based</span><span style=\"font-family:;\" \"=\"\"> </span><span style=\"font-family:Verdana;\">adaptive thresholding is applied to the low
frequency components of the wavelet coefficients, and a Lee filter theory based
adaptive thresholding is applied on the high frequency components.</span><span style=\"font-family:;\" \"=\"\"> </span><span style=\"font-family:Verdana;\">For the next step, the wavelet reconstruction is
applied to the thresholded wavelet coefficients.</span><span style=\"font-family:;\" \"=\"\"> </span><span style=\"font-family:Verdana;\">A binary (segmented) image of the object of interest is therefore
obtained. 5 hypofractionated Calypso prostate patients with daily CBCT were
studied. DICE, Sensitivity, Inclusiveness and <span style=\"font-family:Verdana, Geneva, Arial, Helvetica, sans-serif;font-size:13.3333px;white-space:normal;background-color:#FFFFFF;\">&amp;Delta;</span>V were used to evaluate the
segmentation result.</span>
%K CBCT
%K Prostate Segmentation
%K Wavelets
%K MWDH
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=78803