Title :
Investigation of low-contrast tumor detection in algorithm-enabled low-dose CBCT
Author :
Bian, Junguo ; Han, Xiao ; Sidky, Emil Y. ; Siewerdsen, Jeffrey H. ; Pan, Xiaochuan
fDate :
Oct. 30 2010-Nov. 6 2010
Abstract :
Flat-panel-based X-ray cone-beam computed tomography (CBCT) can provide images of high utility in medical applications such as image-guided surgery and radiotherapy by offering location and contrast information concerning the target and surrounding region. A potential issue in these applications of CBCT is the imaging dose involved because repeated scans are necessary in the image-guided procedures. We investigate algorithm-enabled low-dose CBCT imaging for potential applications to image-guided surgery and radiotherapy procedures, involving detection of low-contrast tumor structures from sparse-view CBCT. Results of our study suggest that images of quality comparable to that of the FDK-reference image can be reconstructed from data much less than full data currently used.
Keywords :
computerised tomography; data analysis; dosimetry; image reconstruction; medical image processing; radiation therapy; surgery; tumours; FDK-reference image reconstruction; algorithm-enabled low-dose CBCT; data analysis; flat-panel-based X-ray cone-beam computed tomography; image-guided surgery; low-contrast tumor detection; medical applications; radiotherapy; sparse-view CBCT; Computed tomography; Head; Image reconstruction; Imaging phantoms; Variable speed drives; X-ray imaging;
Conference_Titel :
Nuclear Science Symposium Conference Record (NSS/MIC), 2010 IEEE
Conference_Location :
Knoxville, TN
Print_ISBN :
978-1-4244-9106-3
DOI :
10.1109/NSSMIC.2010.5874453