Academic Journal
Optimization of Diffusion MRI With Consideration of the Signal Decay in Biological Tissues.
| Title: | Optimization of Diffusion MRI With Consideration of the Signal Decay in Biological Tissues. |
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| Authors: | Kuczera S; Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden., Maier SE; Department of Radiology, Brigham Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA. |
| Source: | Magnetic resonance in medicine [Magn Reson Med] 2026 Jul; Vol. 96 (1), pp. 460-468. Date of Electronic Publication: 2026 Mar 19. |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: Wiley Country of Publication: United States NLM ID: 8505245 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1522-2594 (Electronic) Linking ISSN: 07403194 NLM ISO Abbreviation: Magn Reson Med Subsets: MEDLINE |
| Imprint Name(s): | Publication: 1999- : New York, NY : Wiley Original Publication: San Diego : Academic Press |
| MeSH Terms: | Diffusion Magnetic Resonance Imaging*/methods , Image Enhancement*/methods , Image Interpretation, Computer-Assisted*/methods , Prostate*/anatomy & histology , Signal Processing, Computer-Assisted*, Algorithms ; Reproducibility of Results ; Phantoms, Imaging ; Humans ; Sensitivity and Specificity ; Male ; Signal-To-Noise Ratio ; Computer Simulation |
| Abstract: | Purpose: Devising methodology to characterize and optimize acquisition schemes for biological tissues, such as the prostate, that produce model-based synthetic diffusion-weighted images and derived model parameters with predictable SNR improvement. Methods: The averaging effect (AE) in synthetic diffusion-weighted images obtained through fitting of various signal decay models to signals measured over 21 linearly spaced b-values between 0 and INLINEMATH is determined with analytic expressions. Similarly, the standard deviation of a retrospective 2-point ADC fit based on the synthetic data is analyzed. Furthermore, acquisition schemes that achieve constant SNR or constant AE for synthetic images over the same b-value range are devised by means of numerical optimization using either a custom iterative method or a standard function optimizer. These acquisition schemes are verified by measurements on a phantom with a non-monoexponential diffusion signal decay combined with a bootstrapping approach to increase the number of data samples. Results: The dependence of AE on model function and parameters is complex. Repeated measurements at specific b-values can boost AE locally, while improvements in ADC uncertainty are particularly pronounced for repetitions of the higher b-value. Optimization of acquisition schemes generally results in discrete b-values, whereby the number of b-values corresponds to the number of model parameters. Results from phantom measurements are in agreement with the theoretical predictions. Conclusion: The presented analytical calculations and numerical optimizations can be useful to improve acquisition schemes under various experimental conditions and clinical needs. (© 2026 The Author(s). Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.) |
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| Grant Information: | P41EB028741 United States NH NIH HHS; ALFGBG 932648 Swedish Governmental Funding of Clinical Research (ALF); R01 CA241817 United States CA NCI NIH HHS; Cancerfonden; Vetenskapsrådet; Barncancerfonden; R01CA241817 United States NH NIH HHS; P41 EB028741 United States EB NIBIB NIH HHS |
| Contributed Indexing: | Keywords: diffusion MRI; noise; optimization; prostate |
| Entry Date(s): | Date Created: 20260320 Date Completed: 20260711 Latest Revision: 20260813 |
| Update Code: | 20260813 |
| PubMed Central ID: | PMC13112234 |
| DOI: | 10.1002/mrm.70346 |
| PMID: | 41857486 |
| Database: | MEDLINE |
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