دورية أكاديمية
Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping.
| العنوان: | Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping. |
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| المؤلفون: | Slator PJ; Centre for Medical Image Computing, Department of Computer Science, University College London, UK. Electronic address: p.slator@ucl.ac.uk., Hutter J; Centre for the Developing Brain, Kings College London, London, UK; Biomedical Engineering Department, Kings College London, London, UK., Marinescu RV; Centre for Medical Image Computing, Department of Computer Science, University College London, UK., Palombo M; Centre for Medical Image Computing, Department of Computer Science, University College London, UK., Jackson LH; Centre for the Developing Brain, Kings College London, London, UK; Biomedical Engineering Department, Kings College London, London, UK., Ho A; Women's Health Department, King's College London, London, UK., Chappell LC; Women's Health Department, King's College London, London, UK., Rutherford M; Centre for the Developing Brain, Kings College London, London, UK., Hajnal JV; Centre for the Developing Brain, Kings College London, London, UK; Biomedical Engineering Department, Kings College London, London, UK., Alexander DC; Centre for Medical Image Computing, Department of Computer Science, University College London, UK. |
| المصدر: | Medical image analysis [Med Image Anal] 2021 Jul; Vol. 71, pp. 102045. Date of Electronic Publication: 2021 Apr 20. |
| نوع المنشور: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 9713490 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1361-8423 (Electronic) Linking ISSN: 13618415 NLM ISO Abbreviation: Med Image Anal Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: Amsterdam : Elsevier Original Publication: London : Oxford University Press, [1996- |
| مواضيع طبية MeSH: | Diffusion Magnetic Resonance Imaging* , Placenta*, Algorithms ; Female ; Humans ; Magnetic Resonance Imaging ; Pregnancy |
| مستخلص: | We introduce and demonstrate an unsupervised machine learning technique for spectroscopic analysis of quantitative MRI experiments. Our algorithm supports estimation of one-dimensional spectra from single-contrast data, and multidimensional correlation spectra from simultaneous multi-contrast data. These spectrum-based approaches allow model-free investigation of tissue properties, but require regularised inversion of a Laplace transform or Fredholm integral, which is an ill-posed calculation. Here we present a method that addresses this limitation in a data-driven way. The algorithm simultaneously estimates a canonical basis of spectral components and voxelwise maps of their weightings, thereby pooling information across whole images to regularise the ill-posed problem. We show in simulations that our algorithm substantially outperforms current voxelwise spectral approaches. We demonstrate the method on multi-contrast diffusion-relaxometry placental MRI scans, revealing anatomically-relevant sub-structures, and identifying dysfunctional placentas. Our algorithm vastly reduces the data required to reliably estimate spectra, opening up the possibility of quantitative MRI spectroscopy in a wide range of new applications. Our InSpect code is available at github.com/paddyslator/inspect. Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.) |
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| معلومات مُعتمدة: | RP-2014-05-019 United Kingdom DH_ Department of Health; U01 HD087202 United States HD NICHD NIH HHS; 201374/Z/16/Z United Kingdom WT_ Wellcome Trust; MR/T018119/1 United Kingdom MRC_ Medical Research Council; MR/T020296/1 United Kingdom MRC_ Medical Research Council; 203148/Z/16/Z United Kingdom WT_ Wellcome Trust |
| فهرسة مساهمة: | Keywords: Diffusion-relaxation MRI; Inverse Laplace transform; MRI; Microstructure imaging; Placenta MRI; Quantitative MRI; Unsupervised learning |
| تواريخ الأحداث: | Date Created: 20210502 Date Completed: 20210625 Latest Revision: 20220302 |
| رمز التحديث: | 20240628 |
| مُعرف محوري في PubMed: | PMC8543043 |
| DOI: | 10.1016/j.media.2021.102045 |
| PMID: | 33934005 |
| قاعدة البيانات: | MEDLINE |
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