Title :
Helical dual source cone-beam micro-CT
Author :
Johnston, Samuel M. ; Johnson, G. Allan ; Badea, Cristian T.
Author_Institution :
Center for In Vivo Microscopy, Med. Center, Duke Univ., Durham, NC, USA
fDate :
April 29 2014-May 2 2014
Abstract :
While helical scanning is well established in the clinical arena, most micro-CT scanners use circular cone beam trajectories and approximate reconstructions based on a filtered backprojection (FBP) algorithm. This may be sufficient for some applications, but in studies of larger animals, such as rats, the size of the detector can constrain the field of view and extend scan time. To address this problem, we have designed and implemented helical scanning and reconstruction procedures for an in-house-developed dual source cone-beam micro-CT system. The reconstruction uses a simultaneous algebraic reconstruction technique combined with total variation regularization (SART-TV). We implemented this algorithm on a graphics processing unit (GPU) to reduce run time. The results demonstrate the speed and accuracy of the GPU-based SART-TV algorithm. The helical scan enables the reconstruction of volumes with extended field of view for whole body micro-CT imaging of large rodents.
Keywords :
algebra; computerised tomography; graphics processing units; image reconstruction; medical image processing; GPU; SART-TV regularization; dual source cone-beam micro-CT system; filtered backprojection algorithm; graphics processing unit; helical dual source; helical scanning procedure; image reconstruction procedure; large rodents; simultaneous algebraic reconstruction technique; total variation regularization; Animals; Computed tomography; Detectors; Graphics processing units; Image reconstruction; Noise; TV; helical; image reconstruction; micro-CT; small animal;
Conference_Titel :
Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on
Conference_Location :
Beijing
DOI :
10.1109/ISBI.2014.6867838