Literature DB >> 29277647

What can we see with IVIM MRI?

Denis Le Bihan1.   

Abstract

Intravoxel Incoherent Motion (IVIM) refers to translational movements which within a given voxel and during the measurement time present a distribution of speeds in orientation and/or amplitude. The IVIM concept has been used to estimate perfusion in tissues as blood flow in randomly oriented capillaries mimics a pseudo-diffusion process. IVIM-based perfusion MRI, which does not require contrast agents, has gained momentum recently, especially in the field oncology. In this introductory review the basic concepts, models, technical requirements and limitations inherent to IVIM-based perfusion MRI are outlined, as well as new, non-perfusion applications of IVIM MRI, such as virtual MR Elastography.
Copyright © 2018 The Author. Published by Elsevier Inc. All rights reserved.

Keywords:  Blood flow; Blood volume; Diffusion; Functional MRI; IVIM; MRI; Mean transit time; Perfusion

Mesh:

Substances:

Year:  2017        PMID: 29277647     DOI: 10.1016/j.neuroimage.2017.12.062

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  73 in total

1.  Intravoxel incoherent motion as a tool to detect early microstructural changes in meningiomas treated with proton therapy.

Authors:  Andrea Franconeri; Simone Sacco; Maria Vittoria Raciti; Alessia Maggi; Shaun Ivan Muzic; Sara Imparato; Lisa Farina; Ana Bacila; Chiara Paganelli; Giulia Buizza; Giulia Fontana; Guido Baroni; Giulia Riva; Alberto Iannalfi; Ester Orlandi; Lorenzo Preda
Journal:  Neuroradiology       Date:  2021-01-03       Impact factor: 2.804

Review 2.  Pediatric skeletal diffusion-weighted magnetic resonance imaging: part 1 - technical considerations and optimization strategies.

Authors:  Apeksha Chaturvedi
Journal:  Pediatr Radiol       Date:  2021-04-01

3.  Analyzing magnetic resonance imaging data from glioma patients using deep learning.

Authors:  Bjoern Menze; Fabian Isensee; Roland Wiest; Bene Wiestler; Klaus Maier-Hein; Mauricio Reyes; Spyridon Bakas
Journal:  Comput Med Imaging Graph       Date:  2020-12-02       Impact factor: 4.790

4.  ADC measurements on the Unity MR-linac - A recommendation on behalf of the Elekta Unity MR-linac consortium.

Authors:  Ernst S Kooreman; Petra J van Houdt; Rick Keesman; Floris J Pos; Vivian W J van Pelt; Marlies E Nowee; Andreas Wetscherek; Rob H N Tijssen; Marielle E P Philippens; Daniela Thorwarth; Jihong Wang; Amita Shukla-Dave; William A Hall; Eric S Paulson; Uulke A van der Heide
Journal:  Radiother Oncol       Date:  2020-10-02       Impact factor: 6.280

Review 5.  Pediatric skeletal diffusion-weighted magnetic resonance imaging, part 2: current and emerging applications.

Authors:  Apeksha Chaturvedi
Journal:  Pediatr Radiol       Date:  2021-05-21

6.  The value of intravoxel incoherent motion diffusion-weighted imaging in predicting the pathologic response to neoadjuvant chemotherapy in locally advanced esophageal squamous cell carcinoma.

Authors:  Tao Song; Qi Yao; Jinrong Qu; Hongkai Zhang; Yan Zhao; Jianjun Qin; Wen Feng; Shouning Zhang; Xianhua Han; Shaoyu Wang; Xu Yan; Hailiang Li
Journal:  Eur Radiol       Date:  2020-09-08       Impact factor: 5.315

7.  Exploring in vivo placental microstructure in healthy and growth-restricted pregnancies through diffusion-weighted magnetic resonance imaging.

Authors:  Nickie Andescavage; Wonsang You; Marni Jacobs; Kushal Kapse; Jessica Quistorff; Dorothy Bulas; Homa Ahmadzia; Alexis Gimovsky; Ahmet Baschat; Catherine Limperopoulos
Journal:  Placenta       Date:  2020-03-06       Impact factor: 3.481

8.  In vivo magnetic resonance imaging and spectroscopy. Technological advances and opportunities for applications continue to abound.

Authors:  Peter van Zijl; Linda Knutsson
Journal:  J Magn Reson       Date:  2019-07-09       Impact factor: 2.229

Review 9.  MR cell size imaging with temporal diffusion spectroscopy.

Authors:  Xiaoyu Jiang; Hua Li; Sean P Devan; John C Gore; Junzhong Xu
Journal:  Magn Reson Imaging       Date:  2020-12-16       Impact factor: 2.546

10.  Diffusion and Perfusion MRI Predicts Response Preceding and Shortly After Radiosurgery to Brain Metastases: A Pilot Study.

Authors:  Akash Deelip Shah; Amaresha Shridhar Konar; Ramesh Paudyal; Jung Hun Oh; Eve LoCastro; David Aramburu Nuñez; Nathaniel Swinburne; Behroze Vachha; Gary A Ulaner; Robert J Young; Andrei I Holodny; Kathryn Beal; Amita Shukla-Dave; Vaios Hatzoglou
Journal:  J Neuroimaging       Date:  2020-12-28       Impact factor: 2.486

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