4D MRI: Robust sorting of free breathing MRI slices for use in interventional settings
Gino Gulamhussene, Fabian Joeres, Marko Rak, Maciej Pech, Christian, Hansen

TL;DR
This paper introduces a robust 4D MRI reconstruction method that captures irregular respiratory motion with high speed and quality, supporting interventional procedures across various MRI machines.
Contribution
The proposed method uses template updates and search regions to significantly improve 4D MRI reconstruction rate, speed, and quality over baseline approaches.
Findings
Reconstruction rate improved to 79.4% from 45.5%.
Reconstruction time reduced to 24s from 73s.
Radiologists rated the new method's quality higher (262.5 vs. 217.5 points).
Abstract
Purpose: We aim to develop a robust 4D MRI method for large FOVs enabling the extraction of irregular respiratory motion that is readily usable with all MRI machines and thus applicable to support a wide range of interventional settings. Method: We propose a 4D MRI reconstruction method to capture an arbitrary number of breathing states. It uses template updates in navigator slices and search regions for fast and robust vessel cross-section tracking. It captures FOVs of 255 mm x 320 mm x 228 mm at a spatial resolution of 1.82 mm x 1.82 mm x 4mm and temporal resolution of 200ms. A total of 37 4D MRIs of 13 healthy subjects were reconstructed to validate the method. A quantitative evaluation of the reconstruction rate and speed of both the new and baseline method was performed. Additionally, a study with ten radiologists was conducted to assess the subjective reconstruction quality of…
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Taxonomy
MethodsSPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings
