Intravenous injection of contrast media is required to enhance conspicuity of the vasculature, organs, lesions and tumors in CT, MR, and other imaging modal/ties. Multi-slice/cone-beam spiral CT angiography (CTA) has important and immediate applications in contrast enhanced volumetric and functional imaging for diagnosis of cardiovascular structures, peripheral vessels and solid organs, such as the brain, lung and liver. Synchronization of CT imaging with the propagation of contrast bolus can maximize the signal difference between arteries and background in first-pass studies and may reduce the contrast dose. CT fluoroscopy (CTF) allows real-time tomographic imaging, and has been used to trigger the scan initiation in synchrony with contrast bolus arrival. The overall goal of this project is to develop an adaptive and robust bolus-chasing methodology for multislice/cone-beam spiral CTA in a wide class of diagnostic applications. This will be achieved by instantaneously reconstructing CT images, dynamically predicting bolus propagation using a system identification approach, and adaptively varying scanning pitch from the aortic arch to the feet to allow realtime correction of any significant deviation from the prediction.
The specific aims of the R21 Phase are to (1) understand longitudinal bolus propagation characteristics under normal and diseased conditions, and fit the data into an extended Hammerstein model on an individual basis, (2) formulate adaptive and robust control strategies for bolus chasing guided by a patient-specific extended Hammerstein model, and (3) evaluate the performance of the proposed bolus-chasing CTA, and demonstrate its technical feasibility.
The specific aims of the R33 phase are to (1)improve multi-slice/cone-beam spiral CT image reconstruction and analysis algorithms for real-time extraction of bolus dynamics, (2) implement and optimize control strategies on a multi-slice/cone-beam CT scanner, and (3) demonstrate the clinical feasibility of bolus-chasing CTA in phantom experiments and patient studies, and characterize its performance. On completion, the optimal imaging and control strategies will have been seamlessly integrated on a multi-slice/cone-beam CT scanner, significantly improved the diagnostic performance of the current CTA, and brought it to the next generation.
| Cai, Zhijun; Bai, Er-Wei; Wang, Ge et al. (2010) Dose reduction with adaptive bolus chasing computed tomography angiography. J Xray Sci Technol 18:15-25 |
| Lu, Yang; Katsevich, Alexander; Zhao, Jun et al. (2010) Fast exact/quasi-exact FBP algorithms for triple-source helical cone-beam CT. IEEE Trans Med Imaging 29:756-70 |
| Shen, H; Wang, G (2010) A tetrahedron-based inhomogeneous Monte Carlo optical simulator. Phys Med Biol 55:947-62 |
| Yang, Jiansheng; Yu, Hengyong; Jiang, Ming et al. (2010) High Order Total Variation Minimization for Interior Tomography. Inverse Probl 26:350131-3501329 |
| Yu, Hengyong; Zhao, Shiying; Hoffman, Eric A et al. (2009) Ultra-low dose lung CT perfusion regularized by a previous scan. Acad Radiol 16:363-73 |
| Yu, Hengyong; Yang, Jiansheng; Jiang, Ming et al. (2009) Supplemental analysis on compressed sensing based interior tomography. Phys Med Biol 54:N425-32 |
| Bharkhada, Deepak; Yu, Hengyong; Liu, Hong et al. (2009) Line-source based x-ray tomography. Int J Biomed Imaging 2009:534516 |
| Wang, Ge; Yu, Hengyong; Ye, Yangbo (2009) A scheme for multisource interior tomography. Med Phys 36:3575-81 |
| Bharkhada, Deepak; Yu, Hengyong; Ge, Shuping et al. (2009) Cardiac computed tomography radiation dose reduction using interior reconstruction algorithm with the aorta and vertebra as known information. J Comput Assist Tomogr 33:338-47 |
| Lu, Yang; Zhao, Jun; Wang, Ge (2009) Exact image reconstruction with triple-source saddle-curve cone-beam scanning. Phys Med Biol 54:2971-91 |
Showing the most recent 10 out of 22 publications
