Determination of detection sensitivity for cerebral microbleeds using susceptibility-weighted imaging.
Determination of detection sensitivity for cerebral microbleeds using susceptibility-weighted imaging.
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DOI:
10.1002/nbm.3551
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发表时间:
2017-04
影响因子:
2.9
通讯作者:
Haacke, E. Mark
中科院分区:
文献类型:
--
作者:
Buch, Sagar;Cheng, Yu-Chung N.;Hu, Jiani;Liu, Saifeng;Beaver, John;Rajagovindan, Rajasimhan;Haacke, E. Mark
Cerebral microbleeds (CMBs) are small chronic brain hemorrhages which are likely caused by structural abnormalities of the small vessels of the brain. Owing to the paramagnetic properties of blood degradation products, CMBs can be detected in vivo by using specific magnetic resonance imaging (MRI) sequences. Susceptibility weighted imaging (SWI) can be used to not only detect iron changes and CMBs, but also differentiate them from calcifications, both of which may be important MR based biomarkers for neurodegenerative diseases. Moreover, SWI can be used to quantify the iron in CMBs. SWI and gradient echo (GE) imaging are the two most common methods to detect iron deposition and CMBs. This study provides a comprehensive analysis for the number of voxels detected in the presence of a CMB on gradient-echo magnitude, phase and SWI composite images as a function of resolution, signal-to-noise, echo time, field strength and susceptibility using in silico experiments. Susceptibility maps were used to quantify the bias in effective susceptibility value and to determine the optimal echo time (TE) for CMB quantification. We observed a non-linear trend with susceptibility for CMB detection from the magnitude images while a linear trend with that from the phase and SWI composite images. The optimal TE value for CMB quantification was found to be 3ms at 7T, 7ms at 3T and 14ms at 1.5T for a CMB of 1 voxel diameter with an SNR of 20:1. The simulations of signal loss and detectability are used to generate theoretical formulae for predictions.
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影响因子:
4.4
作者:
Haacke, E. M.;Tang, J.;Neelavalli, J.;Cheng, Y. C. N.
通讯作者:
Cheng, Y. C. N.
影响因子:
3.3
作者:
Liu, Saifeng;Neelavalli, Jaladhar;Cheng, Yu-Chung N.;Tang, Jin;Haacke, E. Mark
通讯作者:
Haacke, E. Mark
影响因子:
4
作者:
Brundel, Manon;Heringa, Sophie M.;Biessels, Geert Jan
通讯作者:
Biessels, Geert Jan
影响因子:
3.3
作者:
Buch, Sagar;Liu, Saifeng;Haacke, E. Mark
通讯作者:
Haacke, E. Mark
影响因子:
48
作者:
Greenberg, Steven M.;Vernooij, Meike W.;Cordonnier, Charlotte;Viswanathan, Anand;Salman, Rustorn Al-Shahi;Warach, Steven;Launer, Lenore J.;Van Buchem, Mark A.;Breteler, Monique M. B.
通讯作者:
Breteler, Monique M. B.