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Related papers: Fetal Pose Estimation in Volumetric MRI using a 3D…

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Fetal magnetic resonance imaging (MRI) is challenged by uncontrollable, large, and irregular fetal movements. It is, therefore, performed through visual monitoring of fetal motion and repeated acquisitions to ensure diagnostic-quality…

Image and Video Processing · Electrical Eng. & Systems 2020-06-09 Ayush Singh , Seyed Sadegh Mohseni Salehi , Ali Gholipour

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…

Image and Video Processing · Electrical Eng. & Systems 2024-04-02 Molin Zhang , Polina Golland , Patricia Ellen Grant , Elfar Adalsteinsson

Fetal pose estimation in 3D ultrasound (US) involves identifying a set of associated fetal anatomical landmarks. Its primary objective is to provide comprehensive information about the fetus through landmark connections, thus benefiting…

Image and Video Processing · Electrical Eng. & Systems 2023-10-31 Chaoyu Chen , Xin Yang , Yuhao Huang , Wenlong Shi , Yan Cao , Mingyuan Luo , Xindi Hu , Lei Zhue , Lequan Yu , Kejuan Yue , Yuanji Zhang , Yi Xiong , Dong Ni , Weijun Huang

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,…

Computer Vision and Pattern Recognition · Computer Science 2020-07-17 Molin Zhang , Junshen Xu , Esra Abaci Turk , P. Ellen Grant , Polina Golland , Elfar Adalsteinsson

We present E(3)-Pose, a novel fast pose estimation method that jointly and explicitly models rotation equivariance and object symmetry. Our work is motivated by the challenging problem of accounting for fetal head motion during a diagnostic…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Ramya Muthukrishnan , Borjan Gagoski , Aryn Lee , P. Ellen Grant , Elfar Adalsteinsson , Benjamin Billot , Polina Golland

Analyzing fetal body motion and shape is paramount in prenatal diagnostics and monitoring. Existing methods for fetal MRI analysis mainly rely on anatomical keypoints or volumetric body segmentations. Keypoints simplify body structure to…

Computer Vision and Pattern Recognition · Computer Science 2025-07-18 Yingcheng Liu , Peiqi Wang , Sebastian Diaz , Esra Abaci Turk , Benjamin Billot , P. Ellen Grant , Polina Golland

The 3D ultrasound (US) entrance inspires a multitude of automated prenatal examinations. However, studies about the structuralized description of the whole fetus in 3D US are still rare. In this paper, we propose to estimate the 3D pose of…

Computer Vision and Pattern Recognition · Computer Science 2024-03-05 Xin Yang , Wenlong Shi , Haoran Dou , Jikuan Qian , Yi Wang , Wufeng Xue , Shengli Li , Dong Ni , Pheng-Ann Heng

Purpose: To develop and evaluate a real-time method for automatic planning and measurement of fetal femur length - an important indicator of antenatal growth - during MRI. While routinely assessed by ultrasound, MRI-based femur length…

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…

In fetal-brain MRI, head-pose changes between prescription and acquisition present a challenge to obtaining the standard sagittal, coronal and axial views essential to clinical assessment. As motion limits acquisitions to thick slices that…

Motion correction is an essential preprocessing step in functional Magnetic Resonance Imaging (fMRI) of the fetal brain with the aim to remove artifacts caused by fetal movement and maternal breathing and consequently to suppress erroneous…

3D Magnetic Resonance Imaging (MRI) is often a trade-off between fast but low-resolution image acquisition and highly detailed but slow image acquisition. Fast imaging is required for targets that move to avoid motion artefacts. This is in…

Computer Vision and Pattern Recognition · Computer Science 2017-09-26 Steven McDonagh , Benjamin Hou , Konstantinos Kamnitsas , Ozan Oktay , Amir Alansary , Mary Rutherford , Jo V. Hajnal , Bernhard Kainz

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…

Preterm infants' limb-pose estimation is a crucial but challenging task, which may improve patients' care and facilitate clinicians in infant's movements monitoring. Work in the literature either provides approaches to whole-body…

Computer Vision and Pattern Recognition · Computer Science 2019-07-31 Sara Moccia , Lucia Migliorelli , Rocco Pietrini , Emanuele Frontoni

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…

Image and Video Processing · Electrical Eng. & Systems 2024-01-31 Haoran Zhang , Yun Wang

3D pose estimation from a 2D cross-sectional view enables healthcare professionals to navigate through the 3D space, and such techniques initiate automatic guidance in many image-guided radiology applications. In this work, we investigate…

Image and Video Processing · Electrical Eng. & Systems 2024-08-20 Qianhui Men , Xiaoqing Guo , Aris T. Papageorghiou , J. Alison Noble

Identifying and interpreting fetal standard scan planes during 2D ultrasound mid-pregnancy examinations are highly complex tasks which require years of training. Apart from guiding the probe to the correct location, it can be equally…

Computer Vision and Pattern Recognition · Computer Science 2017-07-26 Christian F. Baumgartner , Konstantinos Kamnitsas , Jacqueline Matthew , Tara P. Fletcher , Sandra Smith , Lisa M. Koch , Bernhard Kainz , Daniel Rueckert

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…

Image and Video Processing · Electrical Eng. & Systems 2020-06-24 Junshen Xu , Sayeri Lala , Borjan Gagoski , Esra Abaci Turk , P. Ellen Grant , Polina Golland , Elfar Adalsteinsson

In obstetric ultrasound (US) scanning, the learner's ability to mentally build a three-dimensional (3D) map of the fetus from a two-dimensional (2D) US image represents a significant challenge in skill acquisition. We aim to build a US…

Computer Vision and Pattern Recognition · Computer Science 2023-11-03 Chiara Di Vece , Maela Le Lous , Brian Dromey , Francisco Vasconcelos , Anna L David , Donald Peebles , Danail Stoyanov

With an aim to increase the capture range and accelerate the performance of state-of-the-art inter-subject and subject-to-template 3D registration, we propose deep learning-based methods that are trained to find the 3D position of…

Computer Vision and Pattern Recognition · Computer Science 2018-08-21 Seyed Sadegh Mohseni Salehi , Shadab Khan , Deniz Erdogmus , Ali Gholipour
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