InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-contrast Microstructural MRI
Slator PJ, Hutter J, Marinescu RV, Palombo M, Young AL, Jackson LH, Ho A, Chappell LC, Rutherford M, Hajnal JV, Alexander DC (2019)
Publication Type: Conference contribution
Publication year: 2019
Journal
Publisher: Springer Verlag
Book Volume: 11492 LNCS
Pages Range: 755-766
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Hong Kong, CHN
ISBN: 9783030203504
DOI: 10.1007/978-3-030-20351-1_59
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 single-contrast 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 across-subject variation in T2*-ADC spectra - showing the potential of InSpect for detailed separation and quantification of distinct microstructural environments.
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APA:
Slator, P.J., Hutter, J., Marinescu, R.V., Palombo, M., Young, A.L., Jackson, L.H.,... Alexander, D.C. (2019). InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-contrast Microstructural MRI. In Siqi Bao, James C. Gee, Paul A. Yushkevich, Albert C.S. Chung (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 755-766). Hong Kong, CHN: Springer Verlag.
MLA:
Slator, Paddy J., et al. "InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-contrast Microstructural MRI." Proceedings of the 26th International Conference on Information Processing in Medical Imaging, IPMI 2019, Hong Kong, CHN Ed. Siqi Bao, James C. Gee, Paul A. Yushkevich, Albert C.S. Chung, Springer Verlag, 2019. 755-766.
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