Volume-of-interest reconstruction from severely truncated data in dental cone-beam CT

2015 ◽  
Author(s):  
Zheng Zhang ◽  
Budi Kusnoto ◽  
Xiao Han ◽  
E. Y. Sidky ◽  
Xiaochuan Pan
Keyword(s):  
Cone Beam Ct ◽  
Cone Beam ◽  
Truncated Data ◽  
Volume Of Interest

Automated volume of interest delineation and rendering of cone beam CT images in interventional cardiology

2012 ◽  
Author(s):  
Cristian Lorenz ◽  
Dirk Schäfer ◽  
Peter Eshuis ◽  
John Carroll ◽  
Michael Grass
Keyword(s):  
Cone Beam Ct ◽  
Interventional Cardiology ◽  
Ct Images ◽  
Cone Beam ◽  
Volume Of Interest

Volume-of-interest cone-beam CT using a 2.35 MV beam generated with a carbon target

2012 ◽  
Vol 39 (7Part1) ◽  
pp. 4209-4218 ◽  
Author(s):  
James L. Robar ◽  
David Parsons ◽  
Avery Berman ◽  
Alex MacDonald
Keyword(s):  
Cone Beam Ct ◽  
Cone Beam ◽  
Carbon Target ◽  
Volume Of Interest

scholarly journals Region of interest reconstruction from truncated data in circular cone-beam CT

2006 ◽  
Vol 25 (7) ◽  
pp. 869-881 ◽  
Author(s):  
Lifeng Yu ◽  
Yu Zou ◽  
E.Y. Sidky ◽  
C.A. Pelizzari ◽  
P. Munro ◽  
...  
Keyword(s):  
Cone Beam Ct ◽  
Region Of Interest ◽  
Circular Cone ◽  
Cone Beam ◽  
Truncated Data

SU-GG-I-30: Magnitude of Scattered Radiation and Dose Efficiency in Volume-Of-Interest (VOI) Cone Beam CT

2008 ◽  
Vol 35 (6Part3) ◽  
pp. 2649-2649
Author(s):  
C Lai ◽  
L Chen ◽  
T Han ◽  
X Liu ◽  
Y Shen ◽  
...  
Keyword(s):  
Scattered Radiation ◽  
Cone Beam Ct ◽  
Cone Beam ◽  
Volume Of Interest ◽  
Dose Efficiency

Dose saving and scatter reduction in volume-of-interest (VOI) cone beam CT: work in progress

2008 ◽  
Author(s):  
Chao-Jen Lai ◽  
Chris C. Shaw ◽  
Lingyun Chen ◽  
Xinming Liu ◽  
Tao Han ◽  
...  
Keyword(s):  
Cone Beam Ct ◽  
Cone Beam ◽  
Work In Progress ◽  
Volume Of Interest ◽  
Dose Saving ◽  
Scatter Reduction

scholarly journals Exact Interior Reconstruction with Cone-Beam CT

2007 ◽  
Vol 2007 ◽  
pp. 1-5 ◽  
Author(s):  
Yangbo Ye ◽  
Hengyong Yu ◽  
Ge Wang
Keyword(s):  
Singular Value Decomposition ◽  
Convex Set ◽  
Cone Beam Ct ◽  
Singular Value ◽  
Cone Beam ◽  
Filtered Backprojection ◽  
Volume Of Interest ◽  
Interior Problem ◽  
Value Decomposition ◽  
Svd Method

Using the backprojection filtration (BPF) and filtered backprojection (FBP) approaches, respectively, we prove that with cone-beam CT the interior problem can be exactly solved by analytic continuation. The prior knowledge we assume is that a volume of interest (VOI) in an object to be reconstructed is known in a subregion of the VOI. Our derivations are based on the so-called generalized PI-segment (chord). The available projection onto convex set (POCS) algorithm and singular value decomposition (SVD) method can be applied to perform the exact interior reconstruction. These results have many implications in the CT field and can be extended to other tomographic modalities, such as SPECT/PET, MRI.

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