Paddy J. Slator1, Jana Hutter2,3, Razvan V. Marinescu1, Marco Palombo1, Laurence Jackson2,3, Alison Ho4, Lucy C Chappell4, Mary Rutherford2, Joseph V Hajnal2,3, and Daniel Alexander1
1Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 2Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 3Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 4Women’s Health Department, King's College London, London, United Kingdom
1Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 2Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 3Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 4Women’s Health Department, King's College London, London, United Kingdom
We apply a data-driven method for quantitative MRI analysis to combined T2*-diffusion placental MRI scans, showing that this approach can identify fine-grained placental
microenvironments
and quantify
placental dysfunction
Figure 3: Seven-component InSpect run on 13 placenta diffusion-relaxometry scans. The leftmost boxes display the canonical spectral components, shared across all 13 participants. The remaining boxes show the corresponding component weighting maps for 6 of the 13 scans, with each column displaying a single participant’s maps (see Figure 4 for the remaining 7 maps). Two participants had been diagnosed with a pregnancy complication at scan time (red outline). Note that the final columns of this Figure and Figure 4 display maps for the same participant, scanned twice, four weeks apart.
Figure 4: InSpect maps for the 7 participants not shown in figure 3 from the seven-component InSpect run on 13 placenta diffusion-relaxometry scans. Each row displays maps for a single canonical spectral component - see first column of Figure 3 for the corresponding spectra. Columns display the maps for a single scan. Note that the final column in Figures 3 and 4 displays maps for the same participant, scanned twice.