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In in-utero MRI, motion correction for fetal body and placenta poses a particular challenge due to the presence of local non-rigid transformations of organs caused by bending and stretching. The existing slice-to-volume registration (SVR)…

High-resolution slice-to-volume reconstruction (SVR) from multiple motion-corrupted low-resolution 2D slices constitutes a critical step in image-based diagnostics of moving subjects, such as fetal brain Magnetic Resonance Imaging (MRI).…

In magnetic resonance imaging (MRI), slice-to-volume reconstruction (SVR) refers to computational reconstruction of an unknown 3D magnetic resonance volume from stacks of 2D slices corrupted by motion. While promising, current SVR methods…

图像与视频处理 · 电气工程与系统科学 2024-02-29 Sean I. Young , Yaël Balbastre , Bruce Fischl , Polina Golland , Juan Eugenio Iglesias

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…

Accurately estimating and correcting the motion artifacts are crucial for 3D image reconstruction of the abdominal and in-utero magnetic resonance imaging (MRI). The state-of-art methods are based on slice-to-volume registration (SVR) where…

图像与视频处理 · 电气工程与系统科学 2019-08-29 Tong Zhang , Laurence H. Jackson , Alena Uus , James R. Clough , Lisa Story , Mary A. Rutherford , Joseph V. Hajnal , Maria Deprez

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

Fully convolutional networks have become the backbone of modern medical imaging due to their ability to learn multi-scale representations and perform end-to-end inference. Yet their potential for slice-to-volume reconstruction (SVR), the…

图像与视频处理 · 电气工程与系统科学 2026-01-13 Margherita Firenze , Sean I. Young , Clinton J. Wang , Hyuk Jin Yun , Elfar Adalsteinsson , Kiho Im , P. Ellen Grant , Polina Golland

Volumetric reconstruction of fetal brains from multiple stacks of MR slices, acquired in the presence of almost unpredictable and often severe subject motion, is a challenging task that is highly sensitive to the initialization of…

图像与视频处理 · 电气工程与系统科学 2022-06-23 Junshen Xu , Daniel Moyer , P. Ellen Grant , Polina Golland , Juan Eugenio Iglesias , Elfar Adalsteinsson

High-quality 3D fetal brain MRI reconstruction from motion-corrupted 2D slices is crucial for clinical diagnosis. Reliable slice-to-volume registration (SVR)-based motion correction and super-resolution reconstruction (SRR) methods are…

图像与视频处理 · 电气工程与系统科学 2025-05-27 Jiangjie Wu , Lixuan Chen , Zhenghao Li , Xin Li , Saban Ozturk , Lihui Wang , Rongpin Wang , Hongjiang Wei , Yuyao Zhang

Image quality of PET reconstructions is degraded by subject motion occurring during the acquisition. MR-based motion correction approaches have been studied for PET/MR scanners and have been successful at capturing regular motion patterns,…

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 brain MRI relies on rapid multi-view 2D slice acquisitions to reduce motion artifacts caused by fetal movement. However, these stacks are typically low resolution, may suffer from motion corruption, and do not adequately capture 3D…

计算机视觉与模式识别 · 计算机科学 2025-09-15 Ema Masterl , Tina Vipotnik Vesnaver , Žiga Špiclin

Purpose: To develop a MRI acquisition and reconstruction framework for volumetric cine visualisation of the fetal heart and great vessels in the presence of maternal and fetal motion. Methods: Four-dimensional depiction was achieved using a…

Reconstructing 3D fetal MR volumes from motion-corrupted stacks of 2D slices is a crucial and challenging task. Conventional slice-to-volume reconstruction (SVR) methods are time-consuming and require multiple orthogonal stacks for…

计算机视觉与模式识别 · 计算机科学 2026-04-13 Yinsong Wang , Thomas Fletcher , Xinzhe Luo , Aine Travers Dineen , Rhodri Cusack , Chen Qin

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…

Functional Magnetic Resonance Imaging (fMRI) is vital in neuroscience, enabling investigations into brain disorders, treatment monitoring, and brain function mapping. However, head motion during fMRI scans, occurring between shots of slice…

计算机视觉与模式识别 · 计算机科学 2024-04-09 Samah Khawaled , Simon K. Warfield , Moti Freiman

Multi-slice magnetic resonance images of the fetal brain are usually contaminated by severe and arbitrary fetal and maternal motion. Hence, stable and robust motion correction is necessary to reconstruct high-resolution 3D fetal brain…

图像与视频处理 · 电气工程与系统科学 2022-09-23 Wen Shi , Haoan Xu , Cong Sun , Jiwei Sun , Yamin Li , Xinyi Xu , Tianshu Zheng , Yi Zhang , Guangbin Wang , Dan Wu

Off-resonance artifacts in magnetic resonance imaging (MRI) are visual distortions that occur when the actual resonant frequencies of spins within the imaging volume differ from the expected frequencies used to encode spatial information.…

医学物理 · 物理学 2023-11-23 Annesha Ghosh , Gordon Wetzstein , Mert Pilanci , Sara Fridovich-Keil

This paper presents a new technique for the virtual reality (VR) visu-alization of complex volume images obtained from computer tomography (CT) and Magnetic Resonance Imaging (MRI) by combining three-dimensional (3D) mesh processing and…

多媒体 · 计算机科学 2023-05-02 Iva Vasic , Roberto Pierdicca , Emanuele Frontoni , Bata Vasic

We present a novel method for reconstructing clothed humans from a sparse set of, e.g., 1 to 6 RGB images. Despite impressive results from recent works employing deep implicit representation, we revisit the volumetric approach and…

计算机视觉与模式识别 · 计算机科学 2023-07-26 Sicong Tang , Guangyuan Wang , Qing Ran , Lingzhi Li , Li Shen , Ping Tan
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