Slator, P;
Hutter, J;
Marinescu, R;
Palombo, M;
Young, A;
Jackson, L;
Ho, A;
... Alexander, D; + view all
(2019)
InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-Contrast Microstructural MRI.
In: Chung, A and Gee, J and Yushkevich, P and Bao, S, (eds.)
Proceedings of Information Processing in Medical Imaging - IPMI 2019.
(pp. pp. 755-766).
Springer: Cham.
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Abstract
We introduce a novel algorithm for deriving meaningful maps from multi-contrast MRI experiments. Such experiments enable the estimation of multidimensional correlation spectra, in domains such as T1- diffusivity, T2-diffusivity, or T1-T2. These spectra combine information from complementary MR properties, and therefore have the potential for improved quantification of distinct tissue types compared to singlecontrast analyses. However, spectral estimation is an ill-conditioned problem which is highly sensitive to noise and requires significant regularisation. We propose an Expectation-Maximisation based method - which we term InSpect - for unified analysis of multi-contrast MR images. The algorithm simultaneously estimates canonical spectra associated with distinct tissue types within an image, and produces maps quantifying the spatial distribution of these spectra. We test the algorithm’s capabilities on simulated data, then apply to placental diffusion-relaxometry data. On placental data we identified significant within-organ and acrosssubject variation in T2*-ADC spectra - showing the potential of InSpect for detailed separation and quantification of distinct microstructural environments.
| Type: | Proceedings paper |
|---|---|
| Title: | InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-Contrast Microstructural MRI |
| Event: | Information Processing in Medical Imaging (IPMI) 2019 |
| Location: | Hong Kong |
| ISBN: | 978-3-030-20351-1 |
| ISBN-13: | 978-3-030-20350-4 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-030-20351-1_59 |
| Publisher version: | https://doi.org/10.1007/978-3-030-20351-1_59 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10069936 |
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