The objective of image-guided intervention is to improve the efficacy of minimally invasive proceduresand reduce morbidity by providing the physician with image-based anatomical and physiological information in real time. In a typical interventional suite, X-ray projection images provide the image guidance. Meanwhile physiological information is obtained by perfusion measurements in a CT/MRI suite. However, none of the current perfusion imaging methods can be performed directly in the interventional suite. In this project,we plan to investigate a novel tomosynthetic perfusion imaging system implemented on a C-arm gantry to extract physiological information from the contrast dynamics. Meanwhile the image guidance will be provided by G-arm based cone-beam CT featuring superior low-contrast detectability using a novel scan geometry and novel cone-beam image reconstruction algorithms.
The specific aims are: (1) to implement andintegrate data acquisition schemes for tomosynthetic imaging and cone-beam CT imaging on a C-arm gantry, (2) to calibrate the tomosynthetic and cone-beam CT scan geometries, (3) to develop novel imagereconstruction algorithms for tomosynthetic perfusion imaging and cone-beam CT imaging, (4) to develop novel image correction methods for tomosynthetic perfusion imaging and cone-beam CT imaging, and (5) to validate tomosynthetic perfusion imaging and cone-beam CT imaging modalities using both physical phantoms and small animals. The successful completion of this project will result in an upgrade of a conventional C-arm system to a cutting-edge image-guided interventional platform. This platform will generate """"""""1+1 >2"""""""" synergistic effects:both anatomical structures and physiological perfusion information will be obtainable using the same imaging platform without transfering patients from an operating room to another imaging room. The new platform may be used pre-, during, and post-intervention to plan, guide, and evaluate the interventional procedures. The new interventional platform will not only benefit those at researchcenters,but also will enable image-guided interventional stroke treatmentsfor hospitals without advanced imaging facilities.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB005712-04
Application #
7581006
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Lopez, Hector
Project Start
2006-05-01
Project End
2011-02-28
Budget Start
2009-03-01
Budget End
2011-02-28
Support Year
4
Fiscal Year
2009
Total Cost
$351,713
Indirect Cost
Name
University of Wisconsin Madison
Department
Physics
Type
Schools of Medicine
DUNS #
161202122
City
Madison
State
WI
Country
United States
Zip Code
53715
Nett, Brian E; Brauweiler, Robert; Kalender, Willi et al. (2010) Perfusion measurements by micro-CT using prior image constrained compressed sensing (PICCS): initial phantom results. Phys Med Biol 55:2333-50
Nett, Brian E; Aagaard-Kienitz, Beverly; Serarslan, Yurdal et al. (2010) A simple technique for interventional tool placement combining fluoroscopy with interventional computed tomography on a C-arm system. Neurosurgery 67:ons49-56; discussion ons56-7
Chen, Guang-Hong; Tang, Jie; Hsieh, Jiang (2009) Temporal resolution improvement using PICCS in MDCT cardiac imaging. Med Phys 36:2130-5
Tang, Jie; Nett, Brian E; Chen, Guang-Hong (2009) Performance comparison between total variation (TV)-based compressed sensing and statistical iterative reconstruction algorithms. Phys Med Biol 54:5781-804
Chen, Guang-Hong; Tang, Jie; Leng, Shuai (2008) Prior image constrained compressed sensing (PICCS): a method to accurately reconstruct dynamic CT images from highly undersampled projection data sets. Med Phys 35:660-3
Chen, Guang-Hong; Qi, Zhihua (2008) Image reconstruction for fan-beam differential phase contrast computed tomography. Phys Med Biol 53:1015-25
Qi, Zhihua; Chen, Guang-Hong (2008) An FBP image reconstruction algorithm for x-ray differential phase contrast CT. Proc Soc Photo Opt Instrum Eng 6913:nihpa92673
Chen, Guang-Hong; Tang, Jie; Leng, Shuai (2008) Prior Image Constrained Compressed Sensing (PICCS). Proc Soc Photo Opt Instrum Eng 6856:685618
Nett, Brian; Tang, Jie; Leng, Shuai et al. (2008) Tomosynthesis via Total Variation Minimization Reconstruction and Prior Image Constrained Compressed Sensing (PICCS) on a C-arm System. Proc Soc Photo Opt Instrum Eng 6913:nihpa92672
Leng, Shuai; Tang, Jie; Zambelli, Joseph et al. (2008) High temporal resolution and streak-free four-dimensional cone-beam computed tomography. Phys Med Biol 53:5653-73

Showing the most recent 10 out of 13 publications