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The performance and diagnostic utility of magnetic resonance imaging (MRI) in pregnancy is fundamentally constrained by fetal motion. Motion of the fetus, which is unpredictable and rapid on the scale of conventional imaging times, limits…

图像与视频处理 · 电气工程与系统科学 2019-07-11 Junshen Xu , Molin Zhang , Esra Abaci Turk , Larry Zhang , Ellen Grant , Kui Ying , Polina Golland , Elfar Adalsteinsson

Fetal motion is unpredictable and rapid on the scale of conventional MR scan times. Therefore, dynamic fetal MRI, which aims at capturing fetal motion and dynamics of fetal function, is limited to fast imaging techniques with compromises in…

图像与视频处理 · 电气工程与系统科学 2021-07-01 Junshen Xu , Esra Abaci Turk , P. Ellen Grant , Polina Golland , Elfar Adalsteinsson

Fetal brain segmentation is an important first step for slice-level motion correction and slice-to-volume reconstruction in fetal MRI. Fast and accurate segmentation of the fetal brain on fetal MRI is required to achieve real-time fetal…

图像与视频处理 · 电气工程与系统科学 2022-05-05 Razieh Faghihpirayesh , Davood Karimi , Deniz Erdogmus , Ali Gholipour

Brain segmentation is a fundamental first step in neuroimage analysis. In the case of fetal MRI, it is particularly challenging and important due to the arbitrary orientation of the fetus, organs that surround the fetal head, and…

Magnetic Resonance Imaging (MRI) is a widely used medical imaging modality boasting great soft tissue contrast without ionizing radiation, but unfortunately suffers from long acquisition times. Long scan times can lead to motion artifacts,…

信号处理 · 电气工程与系统科学 2022-07-05 Brett Levac , Sidharth Kumar , Sofia Kardonik , Jonathan I. Tamir

Fetal brain MRI is useful for diagnosing brain abnormalities but is challenged by fetal motion. The current protocol for T2-weighted fetal brain MRI is not robust to motion so image volumes are degraded by inter- and intra- slice motion…

图像与视频处理 · 电气工程与系统科学 2020-06-24 Junshen Xu , Sayeri Lala , Borjan Gagoski , Esra Abaci Turk , P. Ellen Grant , Polina Golland , Elfar Adalsteinsson

This paper provides a comprehensive review of the latest advancements in fetal motion correction in MRI. We delve into various contemporary methodologies and technological advancements aimed at overcoming these challenges. It includes…

图像与视频处理 · 电气工程与系统科学 2024-01-31 Haoran Zhang , Yun Wang

Motion represents one of the major challenges in magnetic resonance imaging (MRI). Since the MR signal is acquired in frequency space, any motion of the imaged object leads to complex artefacts in the reconstructed image in addition to…

图像与视频处理 · 电气工程与系统科学 2023-10-24 Veronika Spieker , Hannah Eichhorn , Kerstin Hammernik , Daniel Rueckert , Christine Preibisch , Dimitrios C. Karampinos , Julia A. Schnabel

Fetal functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful tool for investigating brain development in utero, holding promise for generating developmental disease biomarkers and supporting prenatal diagnosis. However, to…

Resting-state functional Magnetic Resonance Imaging (fMRI) is a powerful imaging technique for studying functional development of the brain in utero. However, unpredictable and excessive movement of fetuses has limited clinical application…

Fetal brain extraction is a necessary first step in most computational fetal brain MRI pipelines. However, it has been a very challenging task due to non-standard fetal head pose, fetal movements during examination, and vastly heterogeneous…

图像与视频处理 · 电气工程与系统科学 2024-10-28 Razieh Faghihpirayesh , Davood Karimi , Deniz Erdoğmuş , Ali Gholipour

Magnetic Resonance Imaging (MRI) is a powerful medical imaging modality, but unfortunately suffers from long scan times which, aside from increasing operational costs, can lead to image artifacts due to patient motion. Motion during the…

图像与视频处理 · 电气工程与系统科学 2023-10-02 Brett Levac , Sidharth Kumar , Ajil Jalal , Jonathan I. Tamir

Fetal motion discernment utilizing spectral images extracted from accelerometric data incident on pregnant mothers abdomen has gained substantial attention in the state-of-the-art research. It is an essential practice to avoid adverse…

T2 mapping in fetal brain MRI has the potential to improve characterization of the developing brain, especially at mid-field (0.55T), where T2 decay is slower. However, this is challenging as fetal MRI acquisition relies on multiple…

Current magnetic resonance imaging (MRI) requires the subject to remain stationary to limit motion artifacts and avoid unwanted field-induced brain stimulation. However, imaging during large-scale motion could enable studies in which motion…

A major challenge of the long measurement times in magnetic resonance imaging (MRI), an important medical imaging technology, is that patients may move during data acquisition. This leads to severe motion artifacts in the reconstructed…

图像与视频处理 · 电气工程与系统科学 2024-09-17 Tobit Klug , Kun Wang , Stefan Ruschke , Reinhard Heckel

The quality of fetal MRI is significantly affected by unpredictable and substantial fetal motion, leading to the introduction of artifacts even when fast acquisition sequences are employed. The development of 3D real-time fetal pose…

图像与视频处理 · 电气工程与系统科学 2024-04-02 Molin Zhang , Polina Golland , Patricia Ellen Grant , Elfar Adalsteinsson

Cardiac tagging magnetic resonance imaging (t-MRI) is the gold standard for regional myocardium deformation and cardiac strain estimation. However, this technique has not been widely used in clinical diagnosis, as a result of the difficulty…

计算机视觉与模式识别 · 计算机科学 2021-04-20 Meng Ye , Mikael Kanski , Dong Yang , Qi Chang , Zhennan Yan , Qiaoying Huang , Leon Axel , Dimitris Metaxas

Resting-state functional Magnetic Resonance Imaging (fMRI) is a powerful imaging technique for studying functional development of the brain in utero. However, unpredictable and excessive movement of fetuses have limited its clinical…

Fetal MRI is heavily constrained by unpredictable and substantial fetal motion that causes image artifacts and limits the set of viable diagnostic image contrasts. Current mitigation of motion artifacts is predominantly performed by fast,…

计算机视觉与模式识别 · 计算机科学 2020-07-17 Molin Zhang , Junshen Xu , Esra Abaci Turk , P. Ellen Grant , Polina Golland , Elfar Adalsteinsson
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