Comparison of positron emission tomography diffusion-weighted imaging (PET/DWI) registration quality in a PET/MR scanner: Zoomed DWI vs. Conventional DWI

Koji Sagiyama, Yuji Watanabe, Ryotaro Kamei, Shingo Baba, Hiroshi Honda

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Purpose To compare zoomed diffusion-weighted imaging (z-DWI) with reduced field of view (FOV) by spatially selective radiofrequency pulses and conventional echo planar imaging (EPI) DWI (c-DWI) with regard to registration quality using positron emission tomography / magnetic resonance (PET/MR) in patients with malignant tumors. Materials and Methods Fludeoxyglucose (18F) PET imaging, c-DWI, and z-DWI were conducted simultaneously in 21 patients with known or suspected malignancy using a PET/MR system. A fusion image showing the largest tumor area was generated for analysis. Registration accuracy between PET and DWI was assessed based on the area of maximum overlap and central point displacement of the tumor. EPI factor, echo time (TE), matching area, and displacement were compared between c-DWI and z-DWI by paired t-test. Agreement of apparent diffusion coefficient (ADC) acquired by the two sequences were also assessed with linear regression s and Bland-Altman plot analysis. Results Thirty-two lesions were detected on both PET and DWI (mean size 536.3 ± 471.8 mm2). At least one lesion was found in all subjects. In all cases, EPI factor was smaller with z-DWI than c-DWI (43.1 ± 15.6 vs. 62.0 ± 10.0, P < 0.0001), and TE was also shorter for z-DWI (53.6 ± 3.6 msec vs. 65.2 ± 3.6 msec, P < 0.0001). Registration accuracy was better with z-DWI in 30 of 32 lesions (93.8%), and both average matching area and central point displacement were significantly improved (79.8 ± 18.1% vs. 61.8 ± 22.9%, P < 0.0001 and 3.92 ± 2.69 mm vs. 7.51 ± 4.07 mm, P < 0.0001). ADC values calculated with c-DWI and z-DWI showed good agreement. Conclusion Zoomed DWI reduces image distortion and provides better registration accuracy with PET images.

Original languageEnglish
Pages (from-to)853-858
Number of pages6
JournalJournal of Magnetic Resonance Imaging
Volume43
Issue number4
DOIs
Publication statusPublished - Apr 1 2016

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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