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PURPOSE To develop free-running multi-echo GRE for cardiac- and respiratory-motion-resolved whole-heart fat fraction quantification. METHODS Multi-echo readouts optimized for water-fat separation and quantification were integrated within a…

Purpose: To develop an MRI technique for free-breathing 3D whole-liver quantification of water T1, water T2, proton density fat fraction (PDFF), R2*. Methods: An Eight-echo spoiled gradient echo pulse sequence with spiral readout was…

This work introduced a stack-of-radial multi-echo asymmetric-echo MRI sequence for free-breathing liver volumetric acquisition. Regularized model-based reconstruction was implemented in Berkeley Advanced Reconstruction Toolbox (BART) to…

Background: RSN whole-heart CMRA is a technique that estimates and corrects for respiratory motion. However, RSN has been limited to a 1D rigid correction which is often insufficient for patients with complex respiratory patterns. The goal…

图像与视频处理 · 电气工程与系统科学 2020-10-28 Christopher W Roy , John Heerfordt , Davide Piccini , Giulia Rossi , Anna Giulia Pavon , Juerg Schwitter , Matthias Stuber

Purpose: To develop a model-based nonlinear reconstruction for simultaneous water-specific $T_{1}$, $R_{2}^{*}$, $B_{0}$ field and/or fat fraction (FF) mapping using single-shot inversion-recovery (IR) multi-echo radial FLASH. Methods: The…

Purpose: To develop a rapid, high-resolution and distortion-free technique for simultaneous water-fat separation, $R_{2}^{*}$ and $B_{0}$ mapping of the fetal brain at 3T. Methods: A 2D multi-echo radial FLASH sequence with blip gradients…

Purpose: This proof-of-concept study evaluates feasibility and accuracy of an ultrasound-based navigation system for open liver surgery. Unlike most conventional systems that rely on registration to preoperative imaging, the proposed system…

图像与视频处理 · 电气工程与系统科学 2025-11-03 Karin Olthof , Theo Ruers , Tiziano Natali , Lisanne Venix , Jasper Smit , Anne den Hartor , Niels Kok , Matteo Fusaglia , Koert Kuhlmann

Organ motion poses an unresolved challenge in image-guided interventions. In the pursuit of solving this problem, the research field of time-resolved volumetric magnetic resonance imaging (4D MRI) has evolved. However, current techniques…

图像与视频处理 · 电气工程与系统科学 2023-01-20 Gino Gulamhussene , Anneke Meyer , Marko Rak , Oleksii Bashkanov , Jazan Omari , Maciej Pech , Christian Hansen

Whole-body PET imaging is often hindered by respiratory motion during acquisition, causing significant degradation in the quality of reconstructed activity images. An additional challenge in PET/CT imaging arises from the respiratory phase…

Over the past decade, Magnetic Resonance Fingerprinting (MRF) has emerged as an efficient paradigm for the rapid and simultaneous quantification of multiple MRI parameters, including fat fraction (FF), water T1 ($T1_{H2O}$), water T2…

图像与视频处理 · 电气工程与系统科学 2025-07-03 Constantin Slioussarenko , Pierre-Yves Baudin , Marc Lapert , Benjamin Marty

A joint image reconstruction and segmentation approach based on disentangled representation learning was trained to enable cardiac cine MR imaging in real-time and under free-breathing. An exploratory feasibility study tested the proposed…

An end-to-end image analysis pipeline is presented for the abdominal MRI protocol used in the UK Biobank on the first 38,971 participants. Emphasis is on the processing steps necessary to ensure a high-level of data quality and consistency…

图像与视频处理 · 电气工程与系统科学 2020-07-17 Nicolas Basty , Yi Liu , Madeleine Cule , E. Louise Thomas , Jimmy D. Bell , Brandon Whitcher

Fetal Magnetic Resonance Imaging at low field strengths is emerging as an exciting direction in perinatal health. Clinical low field (0.55T) scanners are beneficial for fetal imaging due to their reduced susceptibility-induced artefacts,…

Purpose: To perform and evaluate water-fat signal separation of whole-body gradient echo scans using convolutional neural networks. Methods: Whole-body gradient echo scans of 240 subjects, each consisting of 5 bipolar echoes, were used.…

计算机视觉与模式识别 · 计算机科学 2019-05-01 Jonathan Andersson , Håkan Ahlström , Joel Kullberg

We propose Deep-Motion-Net: an end-to-end graph neural network (GNN) architecture that enables 3D (volumetric) organ shape reconstruction from a single in-treatment kV planar X-ray image acquired at any arbitrary projection angle.…

计算机视觉与模式识别 · 计算机科学 2024-07-10 Isuru Wijesinghe , Michael Nix , Arezoo Zakeri , Alireza Hokmabadi , Bashar Al-Qaisieh , Ali Gooya , Zeike A. Taylor

Purpose Segmentation of the liver from abdominal computed tomography (CT) image is an essential step in some computer assisted clinical interventions, such as surgery planning for living donor liver transplant (LDLT), radiotherapy and…

计算机视觉与模式识别 · 计算机科学 2016-05-11 Fang Lu , Fa Wu , Peijun Hu , Zhiyi Peng , Dexing Kong

Augmented reality (AR) guidance in laparoscopic liver surgery requires accurate registration of preoperative 3D models to intraoperative 2D video, but remains challenging due to partial visibility, specularities, and tissue deformation.…

It is critically important to detect the content of liver fat as it is related to cardiac complications and cardiovascular disease mortality. However, existing methods are either associated with high cost and/or medical complications (e.g.,…

图像与视频处理 · 电气工程与系统科学 2024-06-03 Qiyue Wang , Wu Xue , Xiaoke Zhang , Fang Jin , James Hahn

Purpose: To develop a technique for joint measurement of fat and water-specific longitudinal relaxation rates (R1f and R1w), effective transverse relaxation rate (R2*), and proton density fat fraction (PDFF) combining the Multi-Echo…

Motion remains a major challenge in magnetic resonance (MR) imaging, particularly in free-breathing cardiac MR imaging, where data are acquired over multiple heartbeats at varying respiratory phases. We adopt a model-based approach for…

图像与视频处理 · 电气工程与系统科学 2025-01-29 Kwang Eun Jang , Mario O. Malavé , Dwight G. Nishimura
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