Imad Ali to Cone-Beam Computed Tomography
This is a "connection" page, showing publications Imad Ali has written about Cone-Beam Computed Tomography.
Connection Strength
2.911
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Quantitative evaluation of the performance of different deformable image registration algorithms in helical, axial, and cone-beam CT images using a mobile phantom. J Appl Clin Med Phys. 2018 Mar; 19(2):62-73.
Score: 0.588
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A motion algorithm to extract physical and motion parameters of mobile targets from cone-beam computed tomographic images. J Xray Sci Technol. 2016 05 17; 24(4):599-613.
Score: 0.521
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Modeling and measurement of the variations of CT number distributions for mobile targets in cone-beam computed tomographic imaging. J Appl Clin Med Phys. 2015 Jan 08; 16(1):5067.
Score: 0.474
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Quantitative assessment by measurement and modeling of mobile target elongation in cone-beam computed tomographic imaging. J Appl Clin Med Phys. 2014 May 08; 15(3):4634.
Score: 0.453
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An algorithm to extract three-dimensional motion by marker tracking in the kV projections from an on-board imager: four-dimensional cone-beam CT and tumor tracking implications. J Appl Clin Med Phys. 2011 Feb 01; 12(2):3407.
Score: 0.361
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Correction of image artifacts from treatment couch in cone-beam CT from kV on-board imaging. J Xray Sci Technol. 2011; 19(3):321-32.
Score: 0.359
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Evaluation of the effects of sagging shifts on isocenter accuracy and image quality of cone-beam CT from kV on-board imagers. J Appl Clin Med Phys. 2009 Jul 17; 10(3):180-194.
Score: 0.081
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Comparison of kilovoltage cone-beam computed tomography with megavoltage projection pairs for paraspinal radiosurgery patient alignment and position verification. Int J Radiat Oncol Biol Phys. 2008 Aug 01; 71(5):1572-80.
Score: 0.075