High resolution CBV assessment with PEAK‐EPI: k‐t‐undersampling and reconstruction in echo planar imaging
High resolution CBV assessment with PEAK‐EPI: k‐t‐undersampling and reconstruction in echo planar imaging
复制标题
使用 PEAKâEPI 进行高分辨率 CBV 评估:回波平面成像中的 kâtâ 欠采样和重建
DOI:
10.1002/mrm.26298
复制
发表时间:
2017
影响因子:
3.3
通讯作者:
M. Zaitsev
中科院分区:
文献类型:
--
作者:
I. Mader;B. Jung;J. Hennig;M. Zaitsev
PurposeAchieving higher spatial resolution and improved brain coverage while mitigating in‐plane susceptibility artifacts in the assessment of perfusion parameters, such as cerebral blood volume, in echo planar imaging (EPI)‐based dynamic susceptibility contrast weighted cerebral perfusion measurements.MethodsPEAK‐EPI, an EPI sequence with interleaved readout trajectories and three different strategies for autocalibration‐signal acquisition (inplace,dynamic extraandextra) is presented. Performance of each approach is analyzedin vivobased on flip angle variation induced dynamics, assessing temporal fidelity, temporal SNR and g‐factors. All approaches are compared with conventional GRAPPA reconstructions. PEAK‐EPI with inplace autocalibration‐signal atR= 5 is then compared with the standard clinical EPI protocol in six patients, using two half‐dose dynamic susceptibility contrast weighted cerebral perfusion measurements per subject.ResultsPEAK‐EPI acquisition facilitates a substantial increase of spatial resolution at a higher number of slices per TR and provides improved SNR compared to conventional GRAPPA. High dependency of the resulting reconstruction quality on the type of autocalibration‐signal acquisition is observed. PEAK‐EPI with inplace autocalibration‐signal achieves high temporal fidelity and initial feasibility is shown.ConclusionThe obtained high resolution cerebral blood volume maps reveal more detailed information than in corresponding standard EPI measurements and facilitate detailed delineation of tumorous tissue. Magn Reson Med 77:2153–2166, 2017. © 2016 International Society for Magnetic Resonance in Medicine
登录
查看更多内容
影响因子:
3.3
作者:
R. Ramb;C. Binter;G. Schultz;J. Assländer;F. Breuer;M. Zaitsev;S. Kozerke;B. Jung
通讯作者:
B. Jung
影响因子:
3.3
作者:
Ding, SJ;Wolff, SD;Epstein, FH
通讯作者:
Epstein, FH
影响因子:
3.3
作者:
M. Zaitsev;K. Zilles;N. Shah
通讯作者:
N. Shah
影响因子:
3.3
作者:
Bhat, Himanshu;Zuehlsdorff, Sven;Bi, Xiaoming;Li, Debiao
通讯作者:
Li, Debiao
影响因子:
3.3
作者:
ROEMER, PB;EDELSTEIN, WA;MUELLER, OM
通讯作者:
MUELLER, OM