Reconstruction of implanted marker trajectories from cone‐beam CT projection images using interdimensional correlation modeling. Issue 8 (18th July 2016)

• Record Type: Journal Article
• Authors: Chung, Hyekyun; Poulsen, Per Rugaard; Keall, Paul J.; Cho, Seungryong; Cho, Byungchul
• Is Part Of: Medical physics. Volume 43:Issue 8(2016)Part 1
• Page Start: 4643
• Page End: 4654
• Publication Date: 2016-07-18
• Subjects: cancer -- computerised tomography -- least squares approximations -- radiation therapy -- tumours; Computed tomography -- Therapeutic applications, including brachytherapy; Computerised tomographs -- Radiation therapy -- Biological material, e.g. blood, urine; Haemocytometers; image‐guided radiation therapy -- cone‐beam CT -- respiratory motion -- real time tumor tracking; Trajectory models -- Cone beam computed tomography -- Cancer -- Computer modeling -- Intensity modulated radiation therapy -- Three dimensional image processing -- Medical X‐ray imaging -- Real time information delivery; Medical physics -- Periodicals; Medical physics; Geneeskunde; Natuurkunde; Toepassingen; Biophysics; Periodicals; Periodicals; Electronic journals; 610.153
• DOI: 10.1118/1.4958678
• Languages: English
• ISSNs: 0094-2405

Abstract

Abstract : Purpose: Cone‐beam CT (CBCT) is a widely used imaging modality for image‐guided radiotherapy. Most vendors provide CBCT systems that are mounted on a linac gantry. Thus, CBCT can be used to estimate the actual 3‐dimensional (3D) position of moving respiratory targets in the thoracic/abdominal region using 2D projection images. The authors have developed a method for estimating the 3D trajectory of respiratory‐induced target motion from CBCT projection images using interdimensional correlation modeling. Methods: Because the superior–inferior (SI) motion of a target can be easily analyzed on projection images of a gantry‐mounted CBCT system, the authors investigated the interdimensional correlation of the SI motion with left–right and anterior–posterior (AP) movements while the gantry is rotating. A simple linear model and a state‐augmented model were implemented and applied to the interdimensional correlation analysis, and their performance was compared. The parameters of the interdimensional correlation models were determined by least‐square estimation of the 2D error between the actual and estimated projected target position. The method was validated using 160 3D tumor trajectories from 46 thoracic/abdominal cancer patients obtained during CyberKnife treatment. The authors' simulations assumed two application scenarios: (1) retrospective estimation for the purpose of moving tumor setup used just after volumetric matching with CBCT; and (2) on‐the‐fly estimation for the purpose of real‐time target position estimation during gating or tracking delivery, either for full‐rotation volumetric‐modulated arc therapy (VMAT) in 60 s or a stationary six‐field intensity‐modulated radiation therapy (IMRT) with a beam delivery time of 20 s. Results: For the retrospective CBCT simulations, the mean 3D root‐mean‐square error (RMSE) for all 4893 trajectory segments was 0.41 mm (simple linear model) and 0.35 mm (state‐augmented model). In the on‐the‐fly simulations, prior projections over more than 60° appear to be necessary for reliable estimations. The mean 3D RMSE during beam delivery after the simple linear model had established with a prior 90° projection data was 0.42 mm for VMAT and 0.45 mm for IMRT. Conclusions: The proposed method does not require any internal/external correlation or statistical modeling to estimate the target trajectory and can be used for both retrospective image‐guided radiotherapy with CBCT projection images and real‐time target position monitoring for respiratory gating or tracking.