Literature DB >> 34619666

MR SIGnature MAtching (MRSIGMA) with retrospective self-evaluation for real-time volumetric motion imaging.

Nathanael Kim1, Kathryn R Tringale2, Christopher Crane2, Neelam Tyagi1, Ricardo Otazo1,3.   

Abstract

Objective. MR SIGnature MAtching (MRSIGMA) is a real-time volumetric MRI technique to image tumor and organs at risk motion in real-time for radiotherapy applications, where a dictionary of high-resolution 3D motion states and associated motion signatures are computed first during offline training and real-time 3D imaging is performed afterwards using fast signature-only acquisition and signature matching. However, the lack of a reference image with similar spatial resolution and temporal resolution introduces significant challenges forin vivovalidation.Approach. This work proposes a retrospective self-validation for MRSIGMA, where the same data used for real-time imaging are used to create a non-real-time reference for comparison. MRSIGMA with self-validation is tested in patients with liver tumors using quantitative metrics defined on the tumor and nearby organs-at-risk structures. The dice coefficient between contours defined on the real-time MRSIGMA and non-real-time reference was used to assess motion imaging performance.Main Results. Total latency (including signature acquisition and signature matching) was between 250 and 314 ms, which is sufficient for organs affected by respiratory motion. Mean ± standard deviation dice coefficient over time was 0.74 ± 0.03 for patients imaged without contrast agent and 0.87 ± 0.03 for patients imaged with contrast agent, which demonstrated high-performance real-time motion imaging.Signficance. MRSIGMA with self-evaluation provides a means to perform real-time volumetric MRI for organ motion tracking with quantitative performance measures.
© 2021 Institute of Physics and Engineering in Medicine.

Entities:  

Keywords:  MR-linac; MRI-guided radiotherapy; compressed sensing; radial MRI; real-time MRI

Mesh:

Substances:

Year:  2021        PMID: 34619666      PMCID: PMC9152766          DOI: 10.1088/1361-6560/ac2dd2

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   4.174


  29 in total

1.  Sparse MRI: The application of compressed sensing for rapid MR imaging.

Authors:  Michael Lustig; David Donoho; John M Pauly
Journal:  Magn Reson Med       Date:  2007-12       Impact factor: 4.668

2.  Technical note: MLC-tracking performance on the Elekta unity MRI-linac.

Authors:  M Glitzner; P L Woodhead; P T S Borman; J J W Lagendijk; B W Raaymakers
Journal:  Phys Med Biol       Date:  2019-08-01       Impact factor: 3.609

3.  Magnetic Resonance Imaging only Workflow for Radiotherapy Simulation and Planning in Prostate Cancer.

Authors:  L G W Kerkmeijer; M Maspero; G J Meijer; J R N van der Voort van Zyp; H C J de Boer; C A T van den Berg
Journal:  Clin Oncol (R Coll Radiol)       Date:  2018-09-21       Impact factor: 4.126

4.  Feasibility study on 3D image reconstruction from 2D orthogonal cine-MRI for MRI-guided radiotherapy.

Authors:  Chiara Paganelli; Danny Lee; John Kipritidis; Brendan Whelan; Peter B Greer; Guido Baroni; Marco Riboldi; Paul Keall
Journal:  J Med Imaging Radiat Oncol       Date:  2018-02-11       Impact factor: 1.735

5.  Deep learning-based image reconstruction and motion estimation from undersampled radial k-space for real-time MRI-guided radiotherapy.

Authors:  Maarten Lennart Terpstra; Matteo Maspero; Federico D'Agata; Bjorn Stemkens; Martijn P W Intven; Jan J W Lagendijk; Cornelis A T Van den Berg; Rob H N Tijssen
Journal:  Phys Med Biol       Date:  2020-05-14       Impact factor: 3.609

6.  Brain Tumor Segmentation Using Convolutional Neural Networks in MRI Images.

Authors:  Sergio Pereira; Adriano Pinto; Victor Alves; Carlos A Silva
Journal:  IEEE Trans Med Imaging       Date:  2016-03-04       Impact factor: 10.048

7.  Highly accelerated real-time cardiac cine MRI using k-t SPARSE-SENSE.

Authors:  Li Feng; Monvadi B Srichai; Ruth P Lim; Alexis Harrison; Wilson King; Ganesh Adluru; Edward V R Dibella; Daniel K Sodickson; Ricardo Otazo; Daniel Kim
Journal:  Magn Reson Med       Date:  2012-08-06       Impact factor: 4.668

8.  Delivery of magnetic resonance-guided single-fraction stereotactic lung radiotherapy.

Authors:  Tobias Finazzi; John R van Sörnsen de Koste; Miguel A Palacios; Femke O B Spoelstra; Berend J Slotman; Cornelis J A Haasbeek; Suresh Senan
Journal:  Phys Imaging Radiat Oncol       Date:  2020-05-20

Review 9.  Optimizing MR-Guided Radiotherapy for Breast Cancer Patients.

Authors:  Maureen L Groot Koerkamp; Jeanine E Vasmel; Nicola S Russell; Simona F Shaitelman; Carmel N Anandadas; Adam Currey; Danny Vesprini; Brian M Keller; Chiara De-Colle; Kathy Han; Lior Z Braunstein; Faisal Mahmood; Ebbe L Lorenzen; Marielle E P Philippens; Helena M Verkooijen; Jan J W Lagendijk; Antonetta C Houweling; H J G Desiree van den Bongard; Anna M Kirby
Journal:  Front Oncol       Date:  2020-07-28       Impact factor: 6.244

10.  A Multi-Institutional Experience of MR-Guided Liver Stereotactic Body Radiation Therapy.

Authors:  Stephen A Rosenberg; Lauren E Henke; Narek Shaverdian; Kathryn Mittauer; Andrzej P Wojcieszynski; Craig R Hullett; Mitchell Kamrava; James Lamb; Minsong Cao; Olga L Green; Rojano Kashani; Bhudatt Paliwal; John Bayouth; Paul M Harari; Jeffrey R Olsen; Percy Lee; Parag J Parikh; Michael Bassetti
Journal:  Adv Radiat Oncol       Date:  2018-08-23
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