Feasibility of volume-of-interest (VOI) scanning technique in cone beam breast CT--a preliminary study.
This work is to demonstrate that high quality cone beam CT images can be generated for a volume of interest (VOI) and to investigate the exposure reduction effect, dose saving, and scatter reduction with the VOI scanning technique. The VOI scanning technique involves inserting a filtering mask between the x-ray source and the breast during image acquisition. The mask has an opening to allow full x-ray exposure to be delivered to a preselected VOI and a lower, filtered exposure to the region outside the VOI. To investigate the effects of increased noise due to reduced exposure outside the VOI on the reconstructed VOI image, we directly extracted the projection data inside the VOI from the full-field projection data and added additional data to the projection outside the VOI to simulate the relative noise increase due to reduced exposure. The nonuniform reference images were simulated in an identical manner to normalize the projection images and measure the x-ray attenuation factor for the object. Regular Feldkamp-Davis-Kress filtered backprojection algorithm was used to reconstruct the 3D images. The noise level inside the VOI was evaluated and compared with that of the full-field higher exposure image. Calcifications phantom and low contrast phantom were imaged. Dose reduction was investigated by estimating the dose distribution in a cylindrical water phantom using Monte Carlo simulation based Geant4 package. Scatter reduction at the detector input was also studied. Our results show that with the exposure level reduced by the VOI mask, the dose levels were significantly reduced both inside and outside the VOI without compromising the accuracy of image reconstruction, allowing for the VOI to be imaged with more clarity and helping to reduce the breast dose. The contrast-to-noise ratio inside the VOI was improved. The VOI images were not adversely affected by noisier projection data outside the VOI. Scatter intensities at the detector input were also shown to decrease significantly both inside and outside the VOI in the projection images, indicating potential improvement of image quality inside the VOI and contribution to dose reduction both inside and outside the VOI.
Chen
Lingyun
L
Department of Imaging Physics, University of Texas M. D. Anderson Cancer Center, Houston, Texas 77030-4009, USA. lingyun.chen@di.mdacc.tmc.edu
Shaw
Chris C
CC
Altunbas
Mustafa C
MC
Lai
Chao-Jen
CJ
Liu
Xinming
X
Han
Tao
T
Wang
Tianpeng
T
Yang
Wei T
WT
Whitman
Gary J
GJ
D000465:Algorithms; D016477:Artifacts; D001940:Breast / Q000000981:diagnostic imaging / Q000473:pathology*; D003198:Computer Simulation; D054893:Cone-Beam Computed Tomography / Q000295:instrumentation / Q000379:methods*; D003287:Contrast Media; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D009010:Monte Carlo Method; D011829:Radiation Dosage; D011877:Radionuclide Imaging
D003287:Contrast Media
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