Improved geometric accuracy of whole body diffusion-weighted imaging at 1.5T and 3T using reverse polarity gradients.
Improved geometric accuracy of whole body diffusion-weighted imaging at 1.5T and 3T using reverse polarity gradients.
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DOI:
10.1038/s41598-022-15872-6
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发表时间:
2022-07-08
影响因子:
4.6
通讯作者:
Malmberg, F.
中科院分区:
文献类型:
--
作者:
Sjoholm, T.;Kullberg, J.;Strand, R.;Engstrom, M.;Ahlstrom, H.;Malmberg, F.
Whole body diffusion-weighted imaging (WB-DWI) is increasingly used in oncological applications, but suffers from misalignments due to susceptibility-induced geometric distortion. As such, DWI and structural images acquired in the same scan session are not geometrically aligned, leading to difficulties in e.g. lesion detection and segmentation. In this work we assess the performance of the reverse polarity gradient (RPG) method for correction of WB-DWI geometric distortion. Multi-station DWI and structural magnetic resonance imaging (MRI) data of healthy controls were acquired at 1.5T (n = 20) and 3T (n = 20). DWI data was distortion corrected using the RPG method based on b = 0 s/mm2 (b0) and b = 50 s/mm2 (b50) DWI acquisitions. Mutual information (MI) between low b-value DWI and structural data increased with distortion correction (P < 0.05), while improvements in region of interest (ROI) based similarity metrics, comparing the position of incidental findings on DWI and structural data, were location dependent. Small numerical differences between non-corrected and distortion corrected apparent diffusion coefficient (ADC) values were measured. Visually, the distortion correction improved spine alignment at station borders, but introduced registration-based artefacts mainly for the spleen and kidneys. Overall, the RPG distortion correction gave an improved geometric accuracy for WB-DWI data acquired at 1.5T and 3T. The b0- and b50-based distortion corrections had a very similar performance.
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DOI:
10.1259/bjr.20170577
发表时间:
2018-01
期刊:
The British journal of radiology
影响因子:
--
作者:
Barnes A;Alonzi R;Blackledge M;Charles-Edwards G;Collins DJ;Cook G;Coutts G;Goh V;Graves M;Kelly C;Koh DM;McCallum H;Miquel ME;O'Connor J;Padhani A;Pearson R;Priest A;Rockall A;Stirling J;Taylor S;Tunariu N;van der Meulen J;Walls D;Winfield J;Punwani S
通讯作者:
Punwani S
影响因子:
3.3
作者:
Dzyubachyk, Oleh;Staring, Marius;van der Geest, Rob J.
通讯作者:
van der Geest, Rob J.
影响因子:
8.9
作者:
Petralia, Giuseppe;Padhani, Anwar R.;Bellomi, Massimo
通讯作者:
Bellomi, Massimo
影响因子:
3.3
作者:
JEZZARD, P;BALABAN, RS
通讯作者:
BALABAN, RS
影响因子:
4.4
作者:
Arlinghaus, Lori R.;Welch, E. Brian;Chakravarthy, A. Bapsi;Xu, Lei;Farley, Jaime S.;Abramson, Vandana G.;Grau, Ana M.;Kelley, Mark C.;Mayer, Ingrid A.;Means-Powell, Julie A.;Meszoely, Ingrid M.;Gore, John C.;Yankeelov, Thomas E.
通讯作者:
Yankeelov, Thomas E.