Quantitative Susceptibility Mapping by Inversion of a Perturbation Field Model: Correlation With Brain Iron in Normal Aging
There is increasing evidence that iron deposition occurs in specific regions of the brain in normal aging and neurodegenerative disorders such as Parkinson's, Huntington's, and Alzheimer's disease. Iron deposition changes the magnetic susceptibility of tissue, which alters the MR sign...
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Institute of Electrical and Electronics Engineers (IEEE)
2015
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| Online Access: | http://hdl.handle.net/1721.1/99690 https://orcid.org/0000-0002-7637-2914 |
| _version_ | 1826207642189561856 |
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| author | Poynton, Clare B. Jenkinson, Mark Adalsteinsson, Elfar Sullivan, Edith V. Pfefferbaum, Adolf Wells, William M. |
| author2 | Harvard University--MIT Division of Health Sciences and Technology |
| author_facet | Harvard University--MIT Division of Health Sciences and Technology Poynton, Clare B. Jenkinson, Mark Adalsteinsson, Elfar Sullivan, Edith V. Pfefferbaum, Adolf Wells, William M. |
| author_sort | Poynton, Clare B. |
| collection | MIT |
| description | There is increasing evidence that iron deposition occurs in specific regions of the brain in normal aging and neurodegenerative disorders such as Parkinson's, Huntington's, and Alzheimer's disease. Iron deposition changes the magnetic susceptibility of tissue, which alters the MR signal phase, and allows estimation of susceptibility differences using quantitative susceptibility mapping (QSM). We present a method for quantifying susceptibility by inversion of a perturbation model, or “QSIP.” The perturbation model relates phase to susceptibility using a kernel calculated in the spatial domain, in contrast to previous Fourier-based techniques. A tissue/air susceptibility atlas is used to estimate B[subscript 0] inhomogeneity. QSIP estimates in young and elderly subjects are compared to postmortem iron estimates, maps of the Field-Dependent Relaxation Rate Increase, and the L1-QSM method. Results for both groups showed excellent agreement with published postmortem data and in vivo FDRI: statistically significant Spearman correlations ranging from Rho=0.905 to Rho=1.00 were obtained. QSIP also showed improvement over FDRI and L1-QSM: reduced variance in susceptibility estimates and statistically significant group differences were detected in striatal and brainstem nuclei, consistent with age-dependent iron accumulation in these regions. |
| first_indexed | 2024-09-23T13:52:41Z |
| format | Article |
| id | mit-1721.1/99690 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:52:41Z |
| publishDate | 2015 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/996902022-09-28T16:48:00Z Quantitative Susceptibility Mapping by Inversion of a Perturbation Field Model: Correlation With Brain Iron in Normal Aging Poynton, Clare B. Jenkinson, Mark Adalsteinsson, Elfar Sullivan, Edith V. Pfefferbaum, Adolf Wells, William M. Harvard University--MIT Division of Health Sciences and Technology Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Poynton, Clare B. Adalsteinsson, Elfar Wells, William M. There is increasing evidence that iron deposition occurs in specific regions of the brain in normal aging and neurodegenerative disorders such as Parkinson's, Huntington's, and Alzheimer's disease. Iron deposition changes the magnetic susceptibility of tissue, which alters the MR signal phase, and allows estimation of susceptibility differences using quantitative susceptibility mapping (QSM). We present a method for quantifying susceptibility by inversion of a perturbation model, or “QSIP.” The perturbation model relates phase to susceptibility using a kernel calculated in the spatial domain, in contrast to previous Fourier-based techniques. A tissue/air susceptibility atlas is used to estimate B[subscript 0] inhomogeneity. QSIP estimates in young and elderly subjects are compared to postmortem iron estimates, maps of the Field-Dependent Relaxation Rate Increase, and the L1-QSM method. Results for both groups showed excellent agreement with published postmortem data and in vivo FDRI: statistically significant Spearman correlations ranging from Rho=0.905 to Rho=1.00 were obtained. QSIP also showed improvement over FDRI and L1-QSM: reduced variance in susceptibility estimates and statistically significant group differences were detected in striatal and brainstem nuclei, consistent with age-dependent iron accumulation in these regions. National Institutes of Health (U.S.) (Grant P41EB015902) National Institutes of Health (U.S.) (Grant P41RR013218) National Institutes of Health (U.S.) (Grant P41EB015898) National Institutes of Health (U.S.) (Grant P41RR019703) National Institutes of Health (U.S.) (Grant T32EB0011680-06) National Institutes of Health (U.S.) (Grant K05AA017168) National Institutes of Health (U.S.) (Grant R01AA012388) 2015-11-03T18:41:11Z 2015-11-03T18:41:11Z 2014-09 2014-08 Article http://purl.org/eprint/type/JournalArticle 0278-0062 1558-254X http://hdl.handle.net/1721.1/99690 Poynton, Clare B., Mark Jenkinson, Elfar Adalsteinsson, Edith V. Sullivan, Adolf Pfefferbaum, and William Wells III. “Quantitative Susceptibility Mapping by Inversion of a Perturbation Field Model: Correlation With Brain Iron in Normal Aging.” IEEE Trans. Med. Imaging 34, no. 1 (January 2015): 339–353. https://orcid.org/0000-0002-7637-2914 en_US http://dx.doi.org/10.1109/tmi.2014.2358552 IEEE Transactions on Medical Imaging Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) PMC |
| spellingShingle | Poynton, Clare B. Jenkinson, Mark Adalsteinsson, Elfar Sullivan, Edith V. Pfefferbaum, Adolf Wells, William M. Quantitative Susceptibility Mapping by Inversion of a Perturbation Field Model: Correlation With Brain Iron in Normal Aging |
| title | Quantitative Susceptibility Mapping by Inversion of a Perturbation Field Model: Correlation With Brain Iron in Normal Aging |
| title_full | Quantitative Susceptibility Mapping by Inversion of a Perturbation Field Model: Correlation With Brain Iron in Normal Aging |
| title_fullStr | Quantitative Susceptibility Mapping by Inversion of a Perturbation Field Model: Correlation With Brain Iron in Normal Aging |
| title_full_unstemmed | Quantitative Susceptibility Mapping by Inversion of a Perturbation Field Model: Correlation With Brain Iron in Normal Aging |
| title_short | Quantitative Susceptibility Mapping by Inversion of a Perturbation Field Model: Correlation With Brain Iron in Normal Aging |
| title_sort | quantitative susceptibility mapping by inversion of a perturbation field model correlation with brain iron in normal aging |
| url | http://hdl.handle.net/1721.1/99690 https://orcid.org/0000-0002-7637-2914 |
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