View in EDS

Effects of subject motion and acquisition time on cone‐beam CT‐guided adaptive therapy for novel 6 second fast scanning protocols.

Saved in:
Bibliographic Details
Title: Effects of subject motion and acquisition time on cone‐beam CT‐guided adaptive therapy for novel 6 second fast scanning protocols.
Authors: Adam, David P.1 (AUTHOR), Lu, Alexander2 (AUTHOR), Salerno, Michael3 (AUTHOR), Teo, Boon‐Keng Kevin3 (AUTHOR), Li, Taoran4 (AUTHOR), Jia, Xun1 (AUTHOR), Siewerdsen, Jeffrey H.5 (AUTHOR), Sisniega, Alejandro2 (AUTHOR), Hrinivich, William T.1 (AUTHOR) whriniv1@jhmi.edu
Source: Medical Physics. Dec2025, Vol. 52 Issue 12, p1-14. 14p.
Subjects: Cone beam computed tomography, Radiotherapy, Image quality analysis, Image segmentation, Equations of motion, Varian Medical Systems Inc.
Abstract: Background: Recent advancements in cone‐beam CT (CBCT) technology have significantly improved image quality leading to increased adoption of CBCT‐guided online adaptive radiotherapy (ART). However, the impact of subject motion on these novel fast acquisition approaches on ART is not fully understood. Purpose: This study aims to assess the impact of subject motion on tasks critical to CBCT‐guided ART, comparing novel fast CBCT acquisition protocols with different spatiotemporal sampling patterns to diagnostic fan beam CT (FBCT). Methods: Two phantoms were imaged to characterize motion, an anthropomorphic abdomen and a cylindrical phantom with material inserts in the presence of translational periodic and non‐periodic motion using two fast CBCT systems (Halcyon, Varian Medical Systems, and HyperSight, Varian Medical Systems) with acquisition times of 16.6 and 6 s (denoted CB‐16.6 and CB‐6), as well as a fan‐beam CT (FB‐0.5) system (Brilliance BigBore, Philips). For the anthropomorphic phantom, geometric distortion was assessed by deformably registering each image to a FB‐0.5 scan of the stationary phantom and analyzing the resultant motion vector field (MVF). Auto‐contouring was performed on all images with a validated deep‐learning method and evaluated using Dice similarity coefficient (DSC). Dose delivery accuracy of a synthetic CT‐based ART workflow was evaluated through a simulated adaptive planning study using a CBCT‐based synthetic CT workflow, comparing Paddick conformity indices (CI) of simulated delivered dose distributions. For the cylindrical phantom, 3D motion patterns more representative of complex patient motion were assessed by measuring and calculating the edge spread function (ESF) and circularity error of the inserts. Results: CB‐16.6 and CB‐6 exhibited reduced geometric distortion in the presence of periodic and non‐periodic motion compared to FB‐0.5. Under periodic motion, auto‐contouring using FB‐0.5 provided the highest mean(range) DSC of 0.78(0.39–0.99), followed by CB‐6 with 0.67(0.28–0.86), and CB‐16.6 with 0.62(0.19–0.86). Under non‐periodic motion, auto‐contouring using FB‐0.5 also provided the highest mean(range) DSC of 0.72(0.46–0.80), followed by CB‐6 with 0.67(0.43–0.80), and CB‐16.6 with 0.64(0.31–0.84). For periodic motion, the FB‐0.5 system shows the largest differences in CI, followed by the CB‐6 and CB‐16.6 with mean values of ‐0.249, ‐0.007, and ‐0.002, respectively. For non‐periodic motion, again, the FB‐0.5 exhibited the greatest change, followed by the CB‐16.6 and CB‐6 with mean differences in CI values of ‐0.122, ‐0.040, and ‐0.002, respectively. For the cylindrical phantom, the CB‐6 demonstrated reduced blur and streak artifacts compared to CB‐16.6 with consistently improved edge sharpness for both low and high contrast edges. Conclusions: CB‐16.6 and CB‐6 provided high‐quality images for ART. Compared to FB‐0.5, fast CBCT exhibited increased blurring and streaking but significantly less geometric distortion with increasing motion, leading to reduced dose delivery error in a simulated ART workflow. The complex 3D motion phantom study supported trends observed in the 1D translational phantom study. Faster CBCT (6 vs. 16.6 s) reduced blur, improving auto‐contouring performance for both periodic and non‐periodic motions, but the interplay between the motion period and 6 s image acquisition must be carefully managed. [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.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 190305292
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Effects of subject motion and acquisition time on cone‐beam CT‐guided adaptive therapy for novel 6 second fast scanning protocols.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Adam%2C+David+P%2E%22">Adam, David P.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lu%2C+Alexander%22">Lu, Alexander</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Salerno%2C+Michael%22">Salerno, Michael</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Teo%2C+Boon‐Keng+Kevin%22">Teo, Boon‐Keng Kevin</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Taoran%22">Li, Taoran</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jia%2C+Xun%22">Jia, Xun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Siewerdsen%2C+Jeffrey+H%2E%22">Siewerdsen, Jeffrey H.</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sisniega%2C+Alejandro%22">Sisniega, Alejandro</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hrinivich%2C+William+T%2E%22">Hrinivich, William T.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> whriniv1@jhmi.edu</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Medical+Physics%22">Medical Physics</searchLink>. Dec2025, Vol. 52 Issue 12, p1-14. 14p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Cone+beam+computed+tomography%22">Cone beam computed tomography</searchLink><br /><searchLink fieldCode="DE" term="%22Radiotherapy%22">Radiotherapy</searchLink><br /><searchLink fieldCode="DE" term="%22Image+quality+analysis%22">Image quality analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Image+segmentation%22">Image segmentation</searchLink><br /><searchLink fieldCode="DE" term="%22Equations+of+motion%22">Equations of motion</searchLink><br /><searchLink fieldCode="DE" term="%22Varian+Medical+Systems+Inc%2E%22">Varian Medical Systems Inc.</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: Recent advancements in cone‐beam CT (CBCT) technology have significantly improved image quality leading to increased adoption of CBCT‐guided online adaptive radiotherapy (ART). However, the impact of subject motion on these novel fast acquisition approaches on ART is not fully understood. Purpose: This study aims to assess the impact of subject motion on tasks critical to CBCT‐guided ART, comparing novel fast CBCT acquisition protocols with different spatiotemporal sampling patterns to diagnostic fan beam CT (FBCT). Methods: Two phantoms were imaged to characterize motion, an anthropomorphic abdomen and a cylindrical phantom with material inserts in the presence of translational periodic and non‐periodic motion using two fast CBCT systems (Halcyon, Varian Medical Systems, and HyperSight, Varian Medical Systems) with acquisition times of 16.6 and 6 s (denoted CB‐16.6 and CB‐6), as well as a fan‐beam CT (FB‐0.5) system (Brilliance BigBore, Philips). For the anthropomorphic phantom, geometric distortion was assessed by deformably registering each image to a FB‐0.5 scan of the stationary phantom and analyzing the resultant motion vector field (MVF). Auto‐contouring was performed on all images with a validated deep‐learning method and evaluated using Dice similarity coefficient (DSC). Dose delivery accuracy of a synthetic CT‐based ART workflow was evaluated through a simulated adaptive planning study using a CBCT‐based synthetic CT workflow, comparing Paddick conformity indices (CI) of simulated delivered dose distributions. For the cylindrical phantom, 3D motion patterns more representative of complex patient motion were assessed by measuring and calculating the edge spread function (ESF) and circularity error of the inserts. Results: CB‐16.6 and CB‐6 exhibited reduced geometric distortion in the presence of periodic and non‐periodic motion compared to FB‐0.5. Under periodic motion, auto‐contouring using FB‐0.5 provided the highest mean(range) DSC of 0.78(0.39–0.99), followed by CB‐6 with 0.67(0.28–0.86), and CB‐16.6 with 0.62(0.19–0.86). Under non‐periodic motion, auto‐contouring using FB‐0.5 also provided the highest mean(range) DSC of 0.72(0.46–0.80), followed by CB‐6 with 0.67(0.43–0.80), and CB‐16.6 with 0.64(0.31–0.84). For periodic motion, the FB‐0.5 system shows the largest differences in CI, followed by the CB‐6 and CB‐16.6 with mean values of ‐0.249, ‐0.007, and ‐0.002, respectively. For non‐periodic motion, again, the FB‐0.5 exhibited the greatest change, followed by the CB‐16.6 and CB‐6 with mean differences in CI values of ‐0.122, ‐0.040, and ‐0.002, respectively. For the cylindrical phantom, the CB‐6 demonstrated reduced blur and streak artifacts compared to CB‐16.6 with consistently improved edge sharpness for both low and high contrast edges. Conclusions: CB‐16.6 and CB‐6 provided high‐quality images for ART. Compared to FB‐0.5, fast CBCT exhibited increased blurring and streaking but significantly less geometric distortion with increasing motion, leading to reduced dose delivery error in a simulated ART workflow. The complex 3D motion phantom study supported trends observed in the 1D translational phantom study. Faster CBCT (6 vs. 16.6 s) reduced blur, improving auto‐contouring performance for both periodic and non‐periodic motions, but the interplay between the motion period and 6 s image acquisition must be carefully managed. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=190305292
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/mp.70181
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 1
    Subjects:
      – SubjectFull: Cone beam computed tomography
        Type: general
      – SubjectFull: Radiotherapy
        Type: general
      – SubjectFull: Image quality analysis
        Type: general
      – SubjectFull: Image segmentation
        Type: general
      – SubjectFull: Equations of motion
        Type: general
      – SubjectFull: Varian Medical Systems Inc.
        Type: general
    Titles:
      – TitleFull: Effects of subject motion and acquisition time on cone‐beam CT‐guided adaptive therapy for novel 6 second fast scanning protocols.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Adam, David P.
      – PersonEntity:
          Name:
            NameFull: Lu, Alexander
      – PersonEntity:
          Name:
            NameFull: Salerno, Michael
      – PersonEntity:
          Name:
            NameFull: Teo, Boon‐Keng Kevin
      – PersonEntity:
          Name:
            NameFull: Li, Taoran
      – PersonEntity:
          Name:
            NameFull: Jia, Xun
      – PersonEntity:
          Name:
            NameFull: Siewerdsen, Jeffrey H.
      – PersonEntity:
          Name:
            NameFull: Sisniega, Alejandro
      – PersonEntity:
          Name:
            NameFull: Hrinivich, William T.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 00942405
          Numbering:
            – Type: volume
              Value: 52
            – Type: issue
              Value: 12
          Titles:
            – TitleFull: Medical Physics
              Type: main
ResultId 1