Delay and dispersion effects in dynamic susceptibility contrast MRI: simulations using singular value decomposition - PubMed (original) (raw)
Delay and dispersion effects in dynamic susceptibility contrast MRI: simulations using singular value decomposition
F Calamante et al. Magn Reson Med. 2000 Sep.
Free article
Abstract
Dynamic susceptibility contrast (DSC) MRI is now increasingly used for measuring perfusion in many different applications. The quantification of DSC data requires the measurement of the arterial input function (AIF) and the deconvolution of the tissue concentration time curve. One of the most accepted deconvolution methods is the use of singular value decomposition (SVD). Simulations were performed to evaluate the effects on DSC quantification of the presence of delay and dispersion in the estimated AIF. Both delay and dispersion were found to introduce significant underestimation of cerebral blood flow (CBF) and overestimation of mean transit time (MTT). While the error introduced by the delay can be corrected by using the information of the arrival time of the bolus, the correction for the dispersion is less straightforward and requires a model for the vasculature.
Similar articles
- Tracer delay correction of cerebral blood flow with dynamic susceptibility contrast-enhanced MRI.
Ibaraki M, Shimosegawa E, Toyoshima H, Takahashi K, Miura S, Kanno I. Ibaraki M, et al. J Cereb Blood Flow Metab. 2005 Mar;25(3):378-90. doi: 10.1038/sj.jcbfm.9600037. J Cereb Blood Flow Metab. 2005. PMID: 15674238 Clinical Trial. - Effect of regional tracer delay on CBF in healthy subjects measured with dynamic susceptibility contrast-enhanced MRI: comparison with 15O-PET.
Ibaraki M, Shimosegawa E, Toyoshima H, Ishigame K, Ito H, Takahashi K, Miura S, Kanno I. Ibaraki M, et al. Magn Reson Med Sci. 2005;4(1):27-34. doi: 10.2463/mrms.4.27. Magn Reson Med Sci. 2005. PMID: 16127251 Clinical Trial. - Arterial input function in perfusion MRI: a comprehensive review.
Calamante F. Calamante F. Prog Nucl Magn Reson Spectrosc. 2013 Oct;74:1-32. doi: 10.1016/j.pnmrs.2013.04.002. Epub 2013 May 11. Prog Nucl Magn Reson Spectrosc. 2013. PMID: 24083460 Review. - Deconvolutions based on singular value decomposition and the pseudoinverse: a guide for beginners.
Hendler RW, Shrager RI. Hendler RW, et al. J Biochem Biophys Methods. 1994 Jan;28(1):1-33. doi: 10.1016/0165-022x(94)90061-2. J Biochem Biophys Methods. 1994. PMID: 8151067 Review.
Cited by
- Deep Learning for Perfusion Cerebral Blood Flow (CBF) and Volume (CBV) Predictions and Diagnostics.
Talebi S, Gai S, Sossin A, Zhu V, Tong E, Mofrad MRK. Talebi S, et al. Ann Biomed Eng. 2024 Jun;52(6):1568-1575. doi: 10.1007/s10439-024-03471-7. Epub 2024 Feb 24. Ann Biomed Eng. 2024. PMID: 38402314 Free PMC article. - Current status in spatiotemporal analysis of contrast-based perfusion MRI.
Shalom ES, Khan A, Van Loo S, Sourbron SP. Shalom ES, et al. Magn Reson Med. 2024 Mar;91(3):1136-1148. doi: 10.1002/mrm.29906. Epub 2023 Nov 6. Magn Reson Med. 2024. PMID: 37929645 Free PMC article. Review. - Core and penumbra estimation using deep learning-based AIF in association with clinical measures in computed tomography perfusion (CTP).
Bal SS, Yang FG, Chi NF, Yin JH, Wang TJ, Peng GS, Chen K, Hsu CC, Chen CI. Bal SS, et al. Insights Imaging. 2023 Sep 29;14(1):161. doi: 10.1186/s13244-023-01472-z. Insights Imaging. 2023. PMID: 37775600 Free PMC article. - Perfusion-weighted software written in Python for DSC-MRI analysis.
Fernández-Rodicio S, Ferro-Costas G, Sampedro-Viana A, Bazarra-Barreiros M, Ferreirós A, López-Arias E, Pérez-Mato M, Ouro A, Pumar JM, Mosqueira AJ, Alonso-Alonso ML, Castillo J, Hervella P, Iglesias-Rey R. Fernández-Rodicio S, et al. Front Neuroinform. 2023 Aug 1;17:1202156. doi: 10.3389/fninf.2023.1202156. eCollection 2023. Front Neuroinform. 2023. PMID: 37593674 Free PMC article. - DSC MRI in the human brain using deoxyhemoglobin and gadolinium-Simulations and validations at 3T.
Schulman JB, Sayin ES, Manalac A, Poublanc J, Sobczyk O, Duffin J, Fisher JA, Mikulis D, Uludağ K. Schulman JB, et al. Front Neuroimaging. 2023 Feb 20;2:1048652. doi: 10.3389/fnimg.2023.1048652. eCollection 2023. Front Neuroimaging. 2023. PMID: 37554650 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical