Literature DB >> 28837048

Evaluation of motion correction for clinical dynamic contrast enhanced MRI of the liver.

M J A Jansen1, H J Kuijf, W B Veldhuis, F J Wessels, M S van Leeuwen, J P W Pluim.   

Abstract

Motion correction of 4D dynamic contrast enhanced MRI (DCE-MRI) series is required for diagnostic evaluation of liver lesions. The registration, however, is a challenging task, owing to rapid changes in image appearance. In this study, two different registration approaches are compared; a conventional pairwise method applying mutual information as metric and a groupwise method applying a principal component analysis based metric, introduced by Huizinga et al (2016). The pairwise method transforms the individual 3D images one by one to a reference image, whereas the groupwise registration method computes the metric on all the images simultaneously, exploiting the temporal information, and transforms all 3D images to a common space. The performance of the two registration methods was evaluated using 70 clinical 4D DCE-MRI series with the focus on the liver. The evaluation was based on the smoothness of the time intensity curves in lesions, lesion volume change after deformation and the smoothness of spatial deformation. Furthermore, the visual quality of subtraction images (pre-contrast image subtracted from the post contrast images) before and after registration was rated by two observers. Both registration methods improved the alignment of the DCE-MRI images in comparison to the non-corrected series. Furthermore, the groupwise method achieved better temporal alignment with smoother spatial deformations than the pairwise method. The quality of the subtraction images was graded satisfactory in 32% of the cases without registration and in 77% and 80% of the cases after pairwise and groupwise registration, respectively. In conclusion, the groupwise registration method outperforms the pairwise registration method and achieves clinically satisfying results. Registration leads to improved subtraction images.

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Year:  2017        PMID: 28837048     DOI: 10.1088/1361-6560/aa8848

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  6 in total

1.  Robust Non-Rigid Motion Compensation of Free-Breathing Myocardial Perfusion MRI Data.

Authors:  Cian M Scannell; Adriana D M Villa; Jack Lee; Marcel Breeuwer; Amedeo Chiribiri
Journal:  IEEE Trans Med Imaging       Date:  2019-02-01       Impact factor: 10.048

2.  Liver segmentation and metastases detection in MR images using convolutional neural networks.

Authors:  Mariëlle J A Jansen; Hugo J Kuijf; Maarten Niekel; Wouter B Veldhuis; Frank J Wessels; Max A Viergever; Josien P W Pluim
Journal:  J Med Imaging (Bellingham)       Date:  2019-10-15

3.  Multichannel three-dimensional fully convolutional residual network-based focal liver lesion detection and classification in Gd-EOB-DTPA-enhanced MRI.

Authors:  Tomomi Takenaga; Shouhei Hanaoka; Yukihiro Nomura; Takahiro Nakao; Hisaichi Shibata; Soichiro Miki; Takeharu Yoshikawa; Naoto Hayashi; Osamu Abe
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-06-01       Impact factor: 2.924

4.  Gadoxetic Acid-Enhanced Hepatobiliary-Phase Magnetic Resonance Imaging for Pyrrolizidine Alkaloid-Induced Hepatic Sinusoidal Obstruction Syndrome and Association with Liver Function.

Authors:  Tingting Guo; Xin Li; Xiaoqian Yang; Xiangquan Kong; Hui Liu; Tao Bai; Keshu Xu; Jin Ye; Yuhu Song
Journal:  Sci Rep       Date:  2019-02-04       Impact factor: 4.379

5.  Feasibility of free-breathing quantitative myocardial perfusion using multi-echo Dixon magnetic resonance imaging.

Authors:  Cian M Scannell; Teresa Correia; Adriana D M Villa; Torben Schneider; Jack Lee; Marcel Breeuwer; Amedeo Chiribiri; Markus Henningsson
Journal:  Sci Rep       Date:  2020-07-29       Impact factor: 4.379

6.  Patient-specific fine-tuning of convolutional neural networks for follow-up lesion quantification.

Authors:  Mariëlle J A Jansen; Hugo J Kuijf; Ashis K Dhara; Nick A Weaver; Geert Jan Biessels; Robin Strand; Josien P W Pluim
Journal:  J Med Imaging (Bellingham)       Date:  2020-12-17
  6 in total

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