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 Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA085904-02
Application #
6497993
Study Section
Diagnostic Imaging Study Section (DMG)
Program Officer
Liu, Guoying
Project Start
2001-02-01
Project End
2004-01-31
Budget Start
2002-02-01
Budget End
2003-01-31
Support Year
2
Fiscal Year
2002
Total Cost
$452,965
Indirect Cost
Name
University of Rochester
Department
Radiation-Diagnostic/Oncology
Type
Schools of Dentistry
DUNS #
208469486
City
Rochester
State
NY
Country
United States
Zip Code
14627
Chen, Zikuan; Ning, Ruola (2005) Forest representation of vessels in cone-beam computed tomographic angiography. Comput Med Imaging Graph 29:1-14
Zhong, Junmei; Ning, Ruola; Conover, David (2004) Image denoising based on multiscale singularity detection for cone beam CT breast imaging. IEEE Trans Med Imaging 23:696-703
Chen, Zikuan; Ning, Ruola (2004) Three-dimensional point spread function measurement of cone-beam computed tomography system by iterative edge-blurring algorithm. Phys Med Biol 49:1865-80
Ning, Ruola; Tang, Xiangyang; Conover, David (2004) X-ray scatter correction algorithm for cone beam CT imaging. Med Phys 31:1195-202
Chen, Zikuan; Ning, Ruola (2003) Filling the Radon domain in computed tomography by local convex combination. Appl Opt 42:7043-51
Chen, Zikuan; Ning, Ruola (2003) Why should breast tumour detection go three dimensional? Phys Med Biol 48:2217-28
Ning, Ruola; Tang, Xiangyang; Conover, David et al. (2003) Flat panel detector-based cone beam computed tomography with a circle-plus-two-arcs data acquisition orbit: preliminary phantom study. Med Phys 30:1694-705
Chen, Biao; Ning, Ruola (2002) Cone-beam volume CT breast imaging: feasibility study. Med Phys 29:755-70
Tang, X; Ning, R (2001) A cone beam filtered backprojection (CB-FBP) reconstruction algorithm for a circle-plus-two-arc orbit. Med Phys 28:1042-55