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Reducing residual‐motion artifacts in iterative 3D CBCT reconstruction in image‐guided radiation therapy.

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Title: Reducing residual‐motion artifacts in iterative 3D CBCT reconstruction in image‐guided radiation therapy.
Authors: Peterlik, Igor1 (AUTHOR) igor.peterlik@varian.com, Strzelecki, Adam1 (AUTHOR), Lehmann, Mathias1 (AUTHOR), Messmer, Philippe1 (AUTHOR), Munro, Peter1 (AUTHOR), Paysan, Pascal1 (AUTHOR), Plamondon, Mathieu1 (AUTHOR), Seghers, Dieter1 (AUTHOR)
Source: Medical Physics. Oct2021, Vol. 48 Issue 10, p6497-6507. 11p.
Subjects: Image-guided radiation therapy, Cone beam computed tomography, Abdominal wall, Power spectra, Motion
Abstract: Purpose: Recent evaluations of a 3D iterative cone‐beam computed tomography (iCBCT) reconstruction method available on Varian radiation treatment devices demonstrated that iCBCT provides superior image quality when compared to analytical Feldkamp‐Davis‐Kress (FDK) method. However, iCBCT employs statistical penalized likelihood (PL) that is known to be highly sensitive to inconsistencies due to physiological motion occurring during the acquisition. We propose a computationally inexpensive extension of iCBCT addressing this deficiency. Methods: During the iterative process, the gradients of PL are modified to avoid the generation of motion‐related artifacts. To assess the impact of this modification, we propose a motion simulation generating CBCT projections of a moving anatomy together with artifact‐free images used as ground truth. Contrast‐to‐noise ratio and power spectra of difference images are computed to quantify the impact of the motion on reconstructed CBCT volumes as well as the effect of the proposed modification. Results: Using both simulated and clinical data, it is shown that the motion of patient's abdominal wall during the acquisition results in artifacts that can be quantified as low‐frequency components in volumes reconstructed with iCBCT. Further, a quantitative evaluation demonstrates that the proposed modification of PL reduces these low‐frequency components. While preserving the advantages of PL, it effectively suppresses the propagation of motion‐related artifacts into clinically important regions, thus increasing the motion resiliency of iCBCT. Conclusions: The proposed modified iterative reconstruction method significantly improves the quality of CBCT images of anatomies suffering from residual motion. [ABSTRACT FROM AUTHOR]
Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Reducing residual‐motion artifacts in iterative 3D CBCT reconstruction in image‐guided radiation therapy.
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  Data: <searchLink fieldCode="AR" term="%22Peterlik%2C+Igor%22">Peterlik, Igor</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> igor.peterlik@varian.com</i><br /><searchLink fieldCode="AR" term="%22Strzelecki%2C+Adam%22">Strzelecki, Adam</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lehmann%2C+Mathias%22">Lehmann, Mathias</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Messmer%2C+Philippe%22">Messmer, Philippe</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Munro%2C+Peter%22">Munro, Peter</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Paysan%2C+Pascal%22">Paysan, Pascal</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Plamondon%2C+Mathieu%22">Plamondon, Mathieu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Seghers%2C+Dieter%22">Seghers, Dieter</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Medical+Physics%22">Medical Physics</searchLink>. Oct2021, Vol. 48 Issue 10, p6497-6507. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Image-guided+radiation+therapy%22">Image-guided radiation therapy</searchLink><br /><searchLink fieldCode="DE" term="%22Cone+beam+computed+tomography%22">Cone beam computed tomography</searchLink><br /><searchLink fieldCode="DE" term="%22Abdominal+wall%22">Abdominal wall</searchLink><br /><searchLink fieldCode="DE" term="%22Power+spectra%22">Power spectra</searchLink><br /><searchLink fieldCode="DE" term="%22Motion%22">Motion</searchLink>
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  Data: Purpose: Recent evaluations of a 3D iterative cone‐beam computed tomography (iCBCT) reconstruction method available on Varian radiation treatment devices demonstrated that iCBCT provides superior image quality when compared to analytical Feldkamp‐Davis‐Kress (FDK) method. However, iCBCT employs statistical penalized likelihood (PL) that is known to be highly sensitive to inconsistencies due to physiological motion occurring during the acquisition. We propose a computationally inexpensive extension of iCBCT addressing this deficiency. Methods: During the iterative process, the gradients of PL are modified to avoid the generation of motion‐related artifacts. To assess the impact of this modification, we propose a motion simulation generating CBCT projections of a moving anatomy together with artifact‐free images used as ground truth. Contrast‐to‐noise ratio and power spectra of difference images are computed to quantify the impact of the motion on reconstructed CBCT volumes as well as the effect of the proposed modification. Results: Using both simulated and clinical data, it is shown that the motion of patient's abdominal wall during the acquisition results in artifacts that can be quantified as low‐frequency components in volumes reconstructed with iCBCT. Further, a quantitative evaluation demonstrates that the proposed modification of PL reduces these low‐frequency components. While preserving the advantages of PL, it effectively suppresses the propagation of motion‐related artifacts into clinically important regions, thus increasing the motion resiliency of iCBCT. Conclusions: The proposed modified iterative reconstruction method significantly improves the quality of CBCT images of anatomies suffering from residual motion. [ABSTRACT FROM AUTHOR]
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  Label:
  Group: Ab
  Data: <i>Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Oct2021
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