English
Related papers

Related papers: Optimization of acquisition parameters for cortica…

200 papers

Background: Cardiovascular magnetic resonance imaging (CMR) is a well established imaging tool for diagnosing and managing cardiac conditions. The integration of exercise stress with CMR (ExCMR) can enhance its diagnostic capacity. Despite…

Signal Processing · Electrical Eng. & Systems 2025-04-22 Preethi Chandrasekaran , Chong Chen , Yingmin Liu , Syed Murtaza Arshad , Christopher Crabtree , Matthew Tong , Yuchi Han , Rizwan Ahmad

Purpose: Receive array layout, noise mitigation and B0 field strength are crucial contributors to signal-to-noise ratio (SNR) and parallel imaging performance. Here, we investigate SNR and parallel imaging gains at 10.5 Tesla (T) compared…

We developed a novel method of creating intensity modulated proton arc therapy (IMPAT) plans that uses computing resources efficiently and may offer a dosimetric benefit for patients with ependymoma or similar tumor geometries. Our IMPAT…

Image normalization, the correction for intra-volume inhomogeneities in magnetic resonance imaging (MRI) data has little significance for visual diagnosis, but is a crucial step before automated radiotherapy solutions. There are several…

Image and Video Processing · Electrical Eng. & Systems 2019-09-13 A. Simkó , T. Löfstedt , A. Garpebring , T. Nyholm , J. Jonsson

Most existing algorithms for automatic 3D morphometry of human brain MRI scans are designed for data with near-isotropic voxels at approximately 1 mm resolution, and frequently have contrast constraints as well - typically requiring T1…

Image and Video Processing · Electrical Eng. & Systems 2020-12-25 Juan Eugenio Iglesias , Benjamin Billot , Yael Balbastre , Azadeh Tabari , John Conklin , Daniel C. Alexander , Polina Golland , Brian L. Edlow , Bruce Fischl

MR images scanned at low magnetic field ($<1$T) have lower resolution in the slice direction and lower contrast, due to a relatively small signal-to-noise ratio (SNR) than those from high field (typically 1.5T and 3T). We adapt the recent…

Neonatal brain segmentation in magnetic resonance (MR) is a challenging problem due to poor image quality and low contrast between white and gray matter regions. Most existing approaches for this problem are based on multi-atlas label…

Computer Vision and Pattern Recognition · Computer Science 2019-03-05 Jose Dolz , Ismail Ben Ayed , Jing Yuan , Christian Desrosiers

Computational analysis of multiplexed immunofluorescence histology data is emerging as an important method for understanding the tumour micro-environment in cancer. This work presents HEMIT, a dataset designed for translating Hematoxylin…

Image and Video Processing · Electrical Eng. & Systems 2024-09-30 Chang Bian , Beth Philips , Tim Cootes , Martin Fergie

In this paper, a novel receiver for Hexagonal Multicarrier Transmission (HMT) system based on the maximizing Signal-to-Interference-plus-Noise Ratio (Max-SINR) criterion is proposed. Theoretical analyses show that there is a timing offset…

Information Theory · Computer Science 2016-11-15 Kui Xu , Youyun Xu , Dongmei Zhang , Wenfeng Ma

Cine cardiac magnetic resonance (CMR) imaging is recognised as the benchmark modality for the comprehensive assessment of cardiac function. Nevertheless, the acquisition process of cine CMR is considered as an impediment due to its…

Image and Video Processing · Electrical Eng. & Systems 2024-04-11 Anam Hashmi , Julia Dietlmeier , Kathleen M. Curran , Noel E. O'Connor

CT perfusion imaging (CTP) plays an important role in decision making for the treatment of acute ischemic stroke with large vessel occlusion. Since the CT perfusion scan time is approximately one minute, the patient is exposed to a…

Medical Physics · Physics 2021-11-04 Vojtěch Kulvait , Philip Hoelter , Arnd Doerfler , Georg Rose

Isochronous Mass Spectrometry (IMS) in heavy-ion storage rings is an excellent experimental method for precision mass measurements of exotic nuclei. In the IMS, the storage ring is tuned in a special isochronous ion-optical mode. Thus, the…

Human motion transfer (HMT) aims to generate a video clip for the target subject by imitating the source subject's motion. Although previous methods have achieved good results in synthesizing good-quality videos, they lose sight of…

Computer Vision and Pattern Recognition · Computer Science 2024-02-23 Jingzhe Ma , Xiaoqing Zhang , Shiqi Yu

Objective: To develop an accurate myocardial T1 mapping technique at 5T using Look-Locker-based multiple inversion-recovery with the real-time spoiled gradient echo (GRE) acquisition. Approach: The proposed T1 mapping technique (mIR-rt)…

Medical Physics · Physics 2025-08-29 Linqi Ge , Yihang Zhang , Huibin Zhu , Lang Zhang , Yihang Zhou , Haifeng Wang , Dong Liang , Hairong Zheng , Yanjie Zhu

International Classification of Diseases (ICD) coding is the task of assigning ICD diagnosis codes to clinical notes. This can be challenging given the large quantity of labels (nearly 9,000) and lengthy texts (up to 8,000 tokens). However,…

Computation and Language · Computer Science 2023-09-19 Junwen Duan , Han Jiang , Ying Yu

Purpose: To evaluate a Deep-Learning-enhanced MUlti-PArametric MR sequence (DL-MUPA) for treatment response assessment for brain metastases patients undergoing stereotactic radiosurgery (SRS) and head-and-neck (HnN) cancer patients…

Magnetic resonance fingerprinting (MRF) provides a unique concept for simultaneous and fast acquisition of multiple quantitative MR parameters. Despite acquisition efficiency, adoption of MRF into the clinics is hindered by its dictionary…

Image and Video Processing · Electrical Eng. & Systems 2020-08-11 Fabian Balsiger , Alain Jungo , Olivier Scheidegger , Pierre G. Carlier , Mauricio Reyes , Benjamin Marty

1.5T or 3T scanners are the current standard for clinical MRI, but low-field (<1T) scanners are still common in many lower- and middle-income countries for reasons of cost and robustness to power failures. Compared to modern high-field…

Intracerebral Hemorrhage (ICH) is the deadliest subtype of stroke, necessitating timely and accurate prognostic evaluation to reduce mortality and disability. However, the multi-factorial nature and complexity of ICH make methods based…

Computer Vision and Pattern Recognition · Computer Science 2024-02-20 Xinlei Yu , Xinyang Li , Ruiquan Ge , Shibin Wu , Ahmed Elazab , Jichao Zhu , Lingyan Zhang , Gangyong Jia , Taosheng Xu , Xiang Wan , Changmiao Wang

Machine Translation System (MTS) serves as an effective tool for communication by translating text or speech from one language to another language. The need of an efficient translation system becomes obvious in a large multilingual…

Computation and Language · Computer Science 2024-03-18 Sudhansu Bala Das , Atharv Biradar , Tapas Kumar Mishra , Bidyut Kumar Patra