Simulation of spatiotemporal CT data sets using a 4D MRI-based lung motion model

Abstract

The application of our 4D MRI-based motion model for simulating 4D CT images provides advantages over standard 4D CT (less motion artifacts, radiation-free). This makes it interesting for radiotherapy planning.

Quantication and analysis of respiratory motion from 4D MRI

“…As described in [8], the data was acquired using a 1.5 T Philips Achieva TM scanner with a 32-channel coil. The temporal resolution was 0.7 s per volume, with each volume having a dimension of 336 × 45 × 336 voxels and a voxel size of 1.48214 × 5.5 × 1.48214 mm 3 . For this paper, only the motion for the first volunteer was analysed as a proof of concept of the methodology.…”

“…More recently there has been interest in using dynamic volumetric imaging such as 4D MRI for more accurate quantification of motion. There have also been recent studies aiming to generate 4D CT from 4D MRI with the indented benefit of less ionising radiation and capability of capturing variability in motion [3,4]. However, analysis based on 4D MRI may still describe respiratory motion in a rather generic way [5].…”

MRI-guidance for motion management in external beam radiotherapy: current status and future challenges

“…To date, the most commonly proposed approach to derive in-room electron density maps for moving targets is to propagate existing electron density information to daily MR images by using deformable image registration (Bohoudi et al 2017 or bulk density overrides (Glitzner et al 2015a. Alternatives include using a 4DCT(MRI) approach (Boye et al 2013, Marx et al 2014 or the use of global motion models (Stemkens et al 2017) (Figure 5). Although neither of these methods are currently implemented in real-time, they could be applied retrospectively to enable intra-fraction dose reconstruction and accumulation (Bernatowicz et al 2016).…”

Deformable image registration applied to lung SBRT: Usefulness and limitations

“…Comments [162,163,164,165,166] Radiomics, data-mining [167,168,169,170] MRI [171,172,173,174,175,176] PET Table 5: Bibliographic references for use of DIR in radiomics or with other modalities than CT. Software Reference ANT (Advanced Normalization Tools) (web) [177] NiftyReg (web) [178] Elastix (web) [179] MIRTK (web) ITK (web) Plastimach (web) [180] DIRART (web) [181] VV (web) [182] MEVIS (commercial) (web) Anaconda (commercial) (web) [183] SmartAdapt Varian (commercial) (web) [184] Mirada (commercial) (web) Dosisoft (commercial) (web)…”