Home
Search
Collections
Journals
About
Contact us
My IOPscience
4D CT amplitude binning for the generation of a time-averaged 3D mid-position CT scan
This content has been downloaded from IOPscience. Please scroll down to see the full text. 2014 Phys. Med. Biol. 59 5517 (http://iopscience.iop.org/0031-9155/59/18/5517) View the table of contents for this issue, or go to the journal homepage for more Download details: IP Address: 160.36.178.25 This content was downloaded on 08/05/2017 at 07:10 Please note that terms and conditions apply.
You may also be interested in: Planning lung radiotherapy using 4D CT data and a motion model R Colgan, J McClelland, D McQuaid et al. Extraction of the respiratory signal from small-animal CT projections C Chavarrías, J J Vaquero, A Sisniega et al. Inter-fraction variations in respiratory motion models J R McClelland, S Hughes, M Modat et al. A fully automated non-external marker 4D-CT sorting algorithm using a serial cine scanning protocol Greg Carnes, Stewart Gaede, Edward Yu et al. Directional sinogram interpolation for motion weighted 4D cone-beam CT reconstruction Hua Zhang, Matthijs Kruis and Jan-Jakob Sonke Comparison of two respiration monitoring systems for 4D imaging with a Siemens CT using a new dynamic breathing phantom A C Vásquez, A Runz, G Echner et al. Fusion of respiration-correlated PET and CT scans J W H Wolthaus, M van Herk, S H Muller et al.
Institute of Physics and Engineering in Medicine Phys. Med. Biol. 59 (2014) 5517–5529
Physics in Medicine & Biology doi:10.1088/0031-9155/59/18/5517
4D CT amplitude binning for the generation of a time-averaged 3D mid-position CT scan Matthijs F Kruis, Jeroen B van de Kamer, José S A Belderbos, Jan-Jakob Sonke and Marcel van Herk Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands E-mail: [email protected] Received 2 April 2014, revised 25 June 2014 Accepted for publication 25 July 2014 Published 29 August 2014 Abstract
The purpose of this study was to develop a method to use amplitude binned 4D-CT (A-4D-CT) data for the construction of mid-position CT data and to compare the results with data created from phase-binned 4D-CT (P-4D-CT) data. For the latter purpose we have developed two measures which describe the regularity of the 4D data and we have tried to correlate these measures with the regularity of the external respiration signal. 4D-CT data was acquired for 27 patients on a combined PET-CT scanner. The 4D data were reconstructed twice, using phase and amplitude binning. The 4D frames of each dataset were registered using a quadrature-based optical flow method. After registration the deformation vector field was repositioned to the mid-position. Since amplitude-binned 4D data does not provide temporal information, we corrected the mid-position for the occupancy of the bins. We quantified the differences between the two mid-position datasets in terms of tumour offset and amplitude differences. Furthermore, we measured the standard deviation of the image intensity over the respiration after registration (σregistration) and the regularity of the deformation vector field ( Δ J ) to quantify the quality of the 4D-CT data. These measures were correlated to the regularity of the external respiration signal (σsignal). The two irregularity measures, Δ J and σregistration, were dependent on each other (p
Search
Collections
Journals
About
Contact us
My IOPscience
4D CT amplitude binning for the generation of a time-averaged 3D mid-position CT scan
This content has been downloaded from IOPscience. Please scroll down to see the full text. 2014 Phys. Med. Biol. 59 5517 (http://iopscience.iop.org/0031-9155/59/18/5517) View the table of contents for this issue, or go to the journal homepage for more Download details: IP Address: 160.36.178.25 This content was downloaded on 08/05/2017 at 07:10 Please note that terms and conditions apply.
You may also be interested in: Planning lung radiotherapy using 4D CT data and a motion model R Colgan, J McClelland, D McQuaid et al. Extraction of the respiratory signal from small-animal CT projections C Chavarrías, J J Vaquero, A Sisniega et al. Inter-fraction variations in respiratory motion models J R McClelland, S Hughes, M Modat et al. A fully automated non-external marker 4D-CT sorting algorithm using a serial cine scanning protocol Greg Carnes, Stewart Gaede, Edward Yu et al. Directional sinogram interpolation for motion weighted 4D cone-beam CT reconstruction Hua Zhang, Matthijs Kruis and Jan-Jakob Sonke Comparison of two respiration monitoring systems for 4D imaging with a Siemens CT using a new dynamic breathing phantom A C Vásquez, A Runz, G Echner et al. Fusion of respiration-correlated PET and CT scans J W H Wolthaus, M van Herk, S H Muller et al.
Institute of Physics and Engineering in Medicine Phys. Med. Biol. 59 (2014) 5517–5529
Physics in Medicine & Biology doi:10.1088/0031-9155/59/18/5517
4D CT amplitude binning for the generation of a time-averaged 3D mid-position CT scan Matthijs F Kruis, Jeroen B van de Kamer, José S A Belderbos, Jan-Jakob Sonke and Marcel van Herk Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands E-mail: [email protected] Received 2 April 2014, revised 25 June 2014 Accepted for publication 25 July 2014 Published 29 August 2014 Abstract
The purpose of this study was to develop a method to use amplitude binned 4D-CT (A-4D-CT) data for the construction of mid-position CT data and to compare the results with data created from phase-binned 4D-CT (P-4D-CT) data. For the latter purpose we have developed two measures which describe the regularity of the 4D data and we have tried to correlate these measures with the regularity of the external respiration signal. 4D-CT data was acquired for 27 patients on a combined PET-CT scanner. The 4D data were reconstructed twice, using phase and amplitude binning. The 4D frames of each dataset were registered using a quadrature-based optical flow method. After registration the deformation vector field was repositioned to the mid-position. Since amplitude-binned 4D data does not provide temporal information, we corrected the mid-position for the occupancy of the bins. We quantified the differences between the two mid-position datasets in terms of tumour offset and amplitude differences. Furthermore, we measured the standard deviation of the image intensity over the respiration after registration (σregistration) and the regularity of the deformation vector field ( Δ J ) to quantify the quality of the 4D-CT data. These measures were correlated to the regularity of the external respiration signal (σsignal). The two irregularity measures, Δ J and σregistration, were dependent on each other (p
