The long term goal of this project is to develop a high resolution cone beam volume computed tomography (CBVCT) imaging technique to provide clinically useful three-dimensional (3D) high resolution images for thoracic oncologic imaging. CBVCT uses a cone beam geometry and a newly developed digital flat panel detector for fast volume scanning. It will require only a single fast volume scanning (2 - 8.0 seconds) to provide true 3D description of pulmonary anatomy with 0.7 - 4.0 lp/mm isotropic resolution. CBVCT represents the next step in the evolution in CT. Rapid acquisition will eliminate most motion artifacts. Sub-millimeter isotropic resolution should detect more pulmonary nodules, virtually eliminating partial volume average artifacts. CBVCT should allow for the first time accurate determination of size, growth, density, and enhancement characteristics of small pulmonary nodules. This would be a major advance in oncologic pulmonary imaging. CBVCT will be developed and validated through computer simulation, phantom and animal studies performed on a prototype imaging system that uses a thin film transistor (TFT) flat panel detector and cone beam tomographic acquisition geometry. Specifically, the aims of the proposed research are: 1) Develop and validate data acquisition technique for TFT array-based CBVCT through computer simulation, 2) Develop, implement and optimize the cone beam reconstruction algorithms, 3) Construct a TFT-based prototype CBVCT scanner, 4) Test and optimize the CBVCT technique through phantom studies, and 5) Evaluate imaging performance of the CBVCT system through comparison phantom studies with a multi-slice CT. Animal studies will be prepared upon the successful completion of this proposed research.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
8R01EB002775-03
Application #
6628463
Study Section
Diagnostic Imaging Study Section (DMG)
Program Officer
Haller, John W
Project Start
2001-02-01
Project End
2006-01-31
Budget Start
2003-02-09
Budget End
2006-01-31
Support Year
3
Fiscal Year
2003
Total Cost
$480,230
Indirect Cost
Name
University of Rochester
Department
Radiation-Diagnostic/Oncology
Type
Schools of Dentistry
DUNS #
041294109
City
Rochester
State
NY
Country
United States
Zip Code
14627
Cai, Weixing; Ning, Ruola; Conover, David (2011) Scatter correction for clinical cone beam CT breast imaging based on breast phantom studies. J Xray Sci Technol 19:91-109
O'Connell, Avice; Conover, David L; Zhang, Yan et al. (2010) Cone-beam CT for breast imaging: Radiation dose, breast coverage, and image quality. AJR Am J Roentgenol 195:496-509
Zhang, Xiaohua; Ning, Ruola; Yang, Dong (2009) Cone Beam Breast CT noise reduction using 3D adaptive Gaussian filtering. J Xray Sci Technol 17:319-33
Benitez, Ricardo Betancourt; Ning, Ruola; Conover, David et al. (2009) Measurements of the modulation transfer function, normalized noise power spectrum and detective quantum efficiency for two flat panel detectors: a fluoroscopic and a cone beam computer tomography flat panel detectors. J Xray Sci Technol 17:279-93
Benitez, Ricardo Betancourt; Ning, Ruola; Conover, David et al. (2009) NPS characterization and evaluation of a cone beam CT breast imaging system. J Xray Sci Technol 17:17-40
Chen, Zikuan; Ning, Ruola (2006) Volume fusion for two-circular-orbit cone-beam tomography. Appl Opt 45:5960-6
Chen, Zikuan; Ning, Ruola (2005) Supergridded cone-beam reconstruction and its application to point-spread function calculation. Appl Opt 44:4615-24
Chen, Zikuan; Ning, Ruola (2004) Breast volume denoising and noise characterization by 3D wavelet transform. Comput Med Imaging Graph 28:235-46