Respiratory motion-corrected 3D DCE-MRI for high-resolution assessment of hepatic pathologies

Congress:

ECR 2019

Poster Number:

C-2048

Type:

Scientific Exhibit

Keywords:

Liver, Oncology, MR physics, MR, Contrast agent-intravenous, Physics, Imaging sequences, Neoplasia

Authors:

M. Ippoliti, C. Kolbitsch, T. Schaeffter, A. Baur, M. R. Makowski; Berlin/DE

DOI:

10.26044/ecr2019/C-2048

DOI-Link:

https://dx.doi.org/10.26044/ecr2019/C-2048

Fig. 1: Fig. 1: DCE-MRI acquisition timing scheme overview, showing sampling of the...

Fig. 2: Fig. 2: Dynamic datasets reconstructed without (a) and with motion correction...

Fig. 3: Fig. 3: Depiction of a Primovist dynamic dataset containing hepatic metastases...

Fig. 4: Fig. 4: Depiction of a Gadovist dynamic dataset showing a cyst (black circle)....

Aims and objectives

To improve detection of small hepatic metastases through free-breathing motion-corrected 3D DCE-MRI [1], yielding isotropic abdominal images with a spatial resolution of 1.5 mmand temporal resolution of 6 sec [2].

Methods and materials

This preliminary study included 10 patients administered with Gadolinium-based contrast agents. Data acquisition was carried out continuously for 5 min during contrast injection using 3D T1-weighted fat-suppressed Golden Radial Phase Encoding (GRPE) sampling scheme (Figure 1). For each patient, GRPE data were retrospectively split into different respiratory motion states and 3D non-rigid respiratory motion fields were obtained from the DCE data itself using a spline-based registration with normalized mutual information metric [3]. The motion information wasutilized in the image reconstruction to yield 48 dynamic motion...

Results

Respiratory motion and related artefacts impaired vessel and lesion detectability and led to misalignment between neighbouring temporal dynamics, strongly impairing the quantitative assessment of the pharmacokinetic uptake model (Toft’s model). With the proposed motion correction scheme, the average CNR measured over a set of 19 metastases, could be improved by 47%compared to the non-motion corrected images and ensured high image quality for each dynamic with accurate temporal alignment over the entire 5 min acquisition period. Statistical significance (p<0.001) was reached in the paired sample t-test....

Conclusion

The proposed motion-correction method allows for the reconstruction of 3D DCE-MR images that have full abdominal coverage, high isotropic resolution (1.5 mm), temporal resolution (6 s) and an accurate alignment of the temporal dynamics. The motion-corrected images show improved contrast over small features, vessels and most importantly metastases.

Personal information

References

Choyke PL, Dwyer AJ, Knopp MV. Functional tumor imaging with dynamic contrast-enhanced magnetic resonance imaging. J Magn Reson Imag 2003;17:509–520. Ippoliti M, Makowski M, Schaeffter T, Kolbitsch C. 3D non-rigid motion corrected dynamic contrast enhanced MRI of the liver with high isotropic spatial resolution. In: Proceedings of Joint Annual Meeting ISMRM-ESMRMB, Paris, France. ;2018:476. Rueckert D, Sonoda LI, Hayes C, Hill DLG, Leach MO, Hawkes DJ. Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans Med Imaging 1999;18:712–721. Medved M, Karczmar G,...