Literature DB >> 33827065

Simultaneous multi-slice accelerated 4D-MRI for radiotherapy guidance.

Katrinus Keijnemans1, Pim T S Borman2, Astrid L H M W van Lier3, Joost J C Verhoeff4, Bas W Raaymakers5, Martin F Fast6.   

Abstract

4D-MRI is becoming increasingly important for daily guidance of thoracic and abdominal radiotherapy. This study exploits the simultaneous multi-slice (SMS) technique to accelerate the acquisition of a balanced turbo field echo (bTFE) and a turbo spin echo (TSE) coronal 4D-MRI sequence performed on 1.5 T MRI scanners. SMS single-shot bTFE and TSE sequences were developed to acquire a stack of 52 coronal 2D images over 30 dynamics. Simultaneously excited slices were separated by half the field of view. Slices intersecting with the liver-lung interface were used as navigator slices. For each navigator slice location, an end-exhale dynamic was automatically identified, and used to derive the self-sorting signal by rigidly registering the remaining dynamics. Navigator slices were sorted into 10 amplitude bins, and the temporal relationship of simultaneously excited slices was used to generate sorted 4D-MRIs for 12 healthy volunteers. The self-sorting signal was validated using an in-vivo peak-to-peak motion analysis. The smoothness of the liver-lung interface was quantified by comparing to sagittal cine images acquired directly after the SMS-4D-MRI sequence. To ensure compatibility with the MR-linac radiotherapy workflow, the 4D-MRIs were transformed into 3D mid-position (MidP) images using deformable image registration. Consistency of the deformable vector fields was quantified in terms of the distance discordance metric (DDM) in the body. The SMS-4D-TSE sequence was additionally acquired for 3 lung cancer patients to investigate tumor visibility. SMS-4D-MRI acquisition and processing took approximately 7 minutes. 4D-MRI reconstruction was possible for 26 out of 27 acquired datasets. Missing data in the sorted 4D-MRIs varied from 4\%-26\% for the volunteers and varied from 8\%-24\% for the patients. Peak-to-peak (SD) amplitudes analysis agreed within 1.8 (1.1) mm and 0.9 (0.4) mm between the sorted 4D-MRIs and the self-sorting signals of the volunteers and patients, respectively. Liver-lung interface smoothness was found to be in the range of 0.6-3.1 mm for volunteers. The percentage of DDM values smaller than 2 mm was in the range of 85\%-89\% and 86\%-92\% for the volunteers and patients, respectively. Lung tumors were clearly visibility in the SMS-4D-TSE images and MidP images. Two fast SMS-accelerated 4D-MRI sequences were developed resulting in T$_{2}$/T$_{1}$ or T$_{2}$ weighted contrast. The SMS-4D-MRIs and derived 3D MidP-MRIs yielded anatomically plausible images and good tumor visibility. SMS-4D-MRI is therefore a strong candidate to be used for treatment simulation and daily guidance of thoracic and abdominal MR-guided radiotherapy. Creative Commons Attribution license.

Entities:  

Keywords:  4D-MRI; Lung Cancer; MR-linac; Mid-Position; Respiratory Motion; Simultaneous Multi-Slice

Year:  2021        PMID: 33827065     DOI: 10.1088/1361-6560/abf591

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  3 in total

1.  A dual-supervised deformation estimation model (DDEM) for constructing ultra-quality 4D-MRI based on a commercial low-quality 4D-MRI for liver cancer radiation therapy.

Authors:  Haonan Xiao; Ruiyan Ni; Shaohua Zhi; Wen Li; Chenyang Liu; Ge Ren; Xinzhi Teng; Weiwei Liu; Weihu Wang; Yibao Zhang; Hao Wu; Ho-Fun Victor Lee; Lai-Yin Andy Cheung; Hing-Chiu Charles Chang; Tian Li; Jing Cai
Journal:  Med Phys       Date:  2022-02-25       Impact factor: 4.506

2.  A hybrid 2D/4D-MRI methodology using simultaneous multislice imaging for radiotherapy guidance.

Authors:  Katrinus Keijnemans; Pim T S Borman; Prescilla Uijtewaal; Peter L Woodhead; Bas W Raaymakers; Martin F Fast
Journal:  Med Phys       Date:  2022-06-22       Impact factor: 4.506

3.  Optimization of a protocol for contrast-enhanced four-dimensional computed tomography imaging of thoracic tumors using minimal contrast agent.

Authors:  Hongya Dai; Dingqiang Yang; Lu Chen; Yibing Zhou; Xiaojing Wen; Jianguo Sun; Guanghui Li
Journal:  Strahlenther Onkol       Date:  2021-09-02       Impact factor: 3.621

  3 in total

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