Comparison of tri‐exponential decay versus bi‐exponential decay and full fitting versus segmented fitting for modeling liver intravoxel incoherent motion diffusion MRI
Publication in refereed journal

香港中文大學研究人員
替代計量分析
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摘要Purpose To determine whether bi- or tri-exponential models, and full or segmented fittings, better fit IVIM imaging signal of healthy livers.

Materials and methods Diffusion-weighted images were acquired with a 3-T scanner using respiratory-triggered echo-planar sequence and 16 b-values (0∼800 s/mm2). Eighteen healthy volunteers had liver scanned twice in the same session, and then once again in another session. Region of interest (ROI)-based measurements were processed with bi-exponential model full fitting and segmented fitting (threshold b-value = 80 s/mm2), as well as tri-exponential model full fitting and segmented fitting (threshold b-value = 200 s/mm2).

Results With all scans’ signal averaged, bi-exponential model full fitting showed Dslow=1.14, Dfast=193.6×10-3 mm2/s, and PF=16.9%, and segmented fitting showed Dslow=1.03, Dfast=56.7×10-3 mm2/s, and PF=21.3%. IVIM parameters derived from tri-exponential model were similar for full fitting and segmented fitting, with a slow (D’slow=0.98×10-3 mm2/s; F’slow=76.4 or 76.6%), a fast (D’fast=15.1 or 15.4×10-3 mm2/s; F’fast=11.8 or 11.7%) and a very fast (D’Vfast=445.0 or 448.8×10-3 mm2/s; F’Vfast=11.8 or 11.7 %) diffusion compartments. Tri-exponential model provided an overall better fit than bi-exponential model. For bi-exponential model, full fitting provided better fit at very low and low b-values compared with segmented fitting with the later tended to underestimate Dfast, however, segmented method demonstrated lower error in signal prediction for high b-values. Compared with full fitting, tri-exponential segmented fitting offered better scan-rescan reproducibility.

Conclusion For healthy liver, tri-exponential modelling is preferred than bi-exponential modelling. For bi-exponential model, segmented fitting underestimates Dfast, but offers more accurate estimation of Dslow.
著者Olivier Chevallier, Nan Zhou, Jean-Pierre Cercueil, Jian He, Romaric Loffroy, Yi Xiang J Wang
期刊名稱NMR in Biomedicine
出版年份2019
月份11
卷號32
期次11
文章號碼e4155
國際標準期刊號0952-3480
電子國際標準期刊號1099-1492
語言英式英語
關鍵詞bi-exponential; diffusion weighted imaging; full fitting; intravoxel incoherent motion; liver; reproducibility; segmented fitting; tri-exponential

上次更新時間 2020-07-07 於 01:28