| Zugriffsnummer | 46775 |
| Dokumenttyp | Zeitschriftenartikel |
| Peer Review | mit Peer Review |
| Sprache | Englisch |
| Titel | Continuous diffusion spectrum computation for diffusion-weighted magnetic resonance imaging of the kidney tubule system |
| Autor(in); Institution |
Periquito, J. S.; Berlin Ultrahigh Field Facility (B.U.F.F.), Max-Delbrueck Center for Molecular Medicine, Berlin, GERMANY
Gladytz, T.; Berlin Ultrahigh Field Facility (B.U.F.F.), Max-Delbrueck Center for Molecular Medicine, Berlin, GERMANY
Millward, J. M.; Berlin Ultrahigh Field Facility (B.U.F.F.), Max-Delbrueck Center for Molecular Medicine, Berlin, GERMANY
Ramos Delgado, P.; Berlin Ultrahigh Field Facility (B.U.F.F.), Max-Delbrueck Center for Molecular Medicine, Berlin, GERMANY
Cantow,, K.; Institut für vegetative Physiologie, Charité, Universitätsmedizin Berlin, Berlin, GERMANY
Grosenick, Dirk; 8.3, Biomedizinische Optik, PTB-Berlin
Hummel, L.; Institut für vegetative Physiologie, Charité, Universitätsmedizin Berlin, Berlin, GERMANY
Anger, A.; Institut für vegetative Physiologie, Charité, Universitätsmedizin Berlin, Berlin, GERMANY
Zhao, K.; Berlin Ultrahigh Field Facility (B.U.F.F.), Max-Delbrueck Center for Molecular Medicine, Berlin, GERMANY
Seeliger, E.; Institut für vegetative Physiologie, Charité, Universitätsmedizin Berlin, Berlin, GERMANY
Pohlmann, A.; Berlin Ultrahigh Field Facility (B.U.F.F.), Max-Delbrueck Center for Molecular Medicine, Berlin, GERMANY
Waiczies, S.; Berlin Ultrahigh Field Facility (B.U.F.F.), Max-Delbrueck Center for Molecular Medicine, Berlin, GERMANY
Niendorf, T.; Berlin Ultrahigh Field Facility (B.U.F.F.), Max-Delbrueck Center for Molecular Medicine, Berlin, GERMANY
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| Quelle/Jahr | Quantitative Imaging in Medicine and Surgery: 11 (2021), 7, 3098 - 3119 |
| ISSN | 2223-4292 (PRINT) ; 2223-4306 (ONLINE) |
| DOI | |
| Verlag | Hong Kong: AME Publ. |
| Freie Schlagworte | Kidney ; tubular volume fraction ; MRI ; diffusion-weighted imaging ; non-negative least squares (NNLS) |
| Zusammenfassung | Background: The use of rigid multi-exponential models (with a priori predefined numbers of components) is common practice for diffusion weighted MRI (DWI) analysis of the kidney. This approach may not accurately reflect renal microstructure, as the data are forced to conform toto the a priori assumptions of simplified models. This work examines the feasibility of less constrained, data- driven non-negative least squares (NNLS) continuum modelling for DWI of the kidney tubule system in simulations that include emulations of pathophysiological conditions. Methods: Non-linear least squares fitting (LS) was used as reference for the simulations. For performance assessment, a threshold of 5% or 10% for the mean absolute percentage error (MAPE) of NNLS and LS results was used. As ground truth, a tri-exponential model using defined volume fractions and diffusion coefficients for each renal compartment (tubule system: Dtubules, ftubules; renal tissue: Dtissue, ftissue; renal blood: Dblood, fblood;) was applied. The impact of: (i) signal-to-noise ratio=40-1000, (ii) number of b-values (N=10-50), (iii) diffusion weighting (b-rangesmall=0-800 up to b-rangelarge=0-2180 s/mm2), and (iv) fixation of the diffusion coefficients Dtissue and Dblood was examined. NNLS was evaluated for baseline and pathophysiological conditions, namely increased tubular volume fraction (ITV) and renal fibrosis (10%: grade I, mild) and 30% (grade II, moderate). Results: NNLS showed the same high degree of reliability as the non-linear LS. MAPE of the tubular volume fraction (ftubules) decreased with increasing SNR. Increasing the number of b-values was beneficial for ftubules precision. Using the b-rangelarge led to a decrease in MAPEftubules compared to b-rangesmall. The use of a medium b-value range of b=0-1380 s/mm2 improved ftubules precision, and further bmax increases beyond this range yielded diminishing improvements. Fixing Dblood and Dtissue significantly reduced MAPEftubules and provided near perfect distinction between baseline and ITV conditions. Without constraining the number of renal compartments in advance, NNLS was able to detect the (fourth) fibrotic compartment, to differentiate it from the other three diffusion components, and to distinguish between 10% versus 30% fibrosis. Conclusions: This work demonstrates the feasibility of NNLS modelling for DWI of the kidney tubule system and shows its potential for examining diffusion compartments associated with renal pathophysiology including increased tubular volume fraction and different degrees of fibrosis. |
| Themenbereich der Metrologie | Metrologie in der Medizin |
| Förderinformationen (1) |
Förderername: Deutsche Forschungsgemeinschaft (DFG)
Förderer ID: 0000 0001 2096 9829 Förderer ID Typ: ISNI Förderprogramm: SFB 1365, RENOPROTECTION Förderungsnummer: 394046635 |
Zitierung
Periquito, J. S., Gladytz, T., Millward, J. M., Ramos Delgado, P., Cantow,, K., Grosenick, D., Hummel, L., Anger, A., Zhao, K., Seeliger, E., Pohlmann, A., Waiczies, S., & Niendorf, T. (2021). Continuous diffusion spectrum computation for diffusion-weighted magnetic resonance imaging of the kidney tubule system. Quantitative Imaging in Medicine and Surgery, 11(7), 3098–3119. https://doi.org/10.21037/qims-20-1360