To explore the use of five meandering dipole antennas in a multi-transmit setup, combined with a high density receive array for breast imaging at 7 T for improved penetration depth and more homogeneous B field. Five meandering dipole antennas and 30 receiver loops were positioned on two cups around the breasts. Finite difference time domain simulations were performed to evaluate RF safety limits of the transmit setup. Scattering parameters of the transmit setup and coupling between the antennas and the detuned loops were measured. In vivo parallel imaging performance was investigated for various acceleration factors. After RF shimming, a B map, a T -weighted image, and a T -weighted image were acquired to assess B efficiency, uniformity in contrast weighting, and imaging performance in clinical applications. The maximum achievable local SAR value was 7.0 W/kg for 5 × 1 W accepted power. The dipoles were tuned and matched to a maximum reflection of -11.8 dB, and a maximum inter-element coupling of -14.2 dB. The maximum coupling between the antennas and the receive loops was -18.2 dB and the mean noise correlation for the 30 receive loops 7.83 ± 8.69%. In vivo measurements showed an increased field of view, which reached to the axilla, and a high transmit efficiency. This coil enabled the acquisition of T -weighted images with a high spatial resolution of 0.7 mm isotropic and T -weighted spin echo images with uniformly weighted contrast.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6587506PMC
http://dx.doi.org/10.1002/nbm.4039DOI Listing

Publication Analysis

Top Keywords

breast imaging
8
imaging 7 t
8
high density
8
density receive
8
meandering dipole
8
dipole antennas
8
transmit setup
8
coupling antennas
8
imaging performance
8
-weighted image
8

Similar Publications

Cancer remains a leading cause of mortality, with aggressive, treatment-resistant tumors posing significant challenges. Current combination therapies and imaging approaches often fail due to disparate pharmacokinetics and difficulties correlating drug delivery with therapeutic response. In this study, we developed radionuclide-activatable theranostic nanoparticles (NPs) comprising folate receptor-targeted bimetallic organo-nanoparticles (Gd-Ti-FA-TA NPs).

View Article and Find Full Text PDF

Granulomatous mastitis (GM) is a chronic inflammatory breast condition that presents significant diagnostic challenges due to its clinical and imaging similarities to malignancies. Accurate diagnosis is crucial to avoid unnecessary interventions and ensure effective management. A total of 1,216 articles were initially identified through a comprehensive database search.

View Article and Find Full Text PDF

Purpose: We aim to perform radiogenomic profiling of breast cancer tumors using dynamic contrast magnetic resonance imaging (MRI) for the estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) genes.

Methods: The dataset used in the current study consists of imaging data of 922 biopsy-confirmed invasive breast cancer patients with ER, PR, and HER2 gene mutation status. Breast MR images, including a T1-weighted pre-contrast sequence and three post-contrast sequences, were enrolled for analysis.

View Article and Find Full Text PDF

"Are you ready?" A longitudinal interpretative phenomenological analysis of couples' experiences with breast reconstruction decision-making.

Eur J Oncol Nurs

January 2025

Univ. Lille, CNRS, UMR 9193, SCALab - Sciences Cognitives et Sciences Affectives, F 59000, Lille, France; Laboratoire de psychopathologie et processus de santé, Université Paris Cité, F-92100 Boulogne-Billancourt, France. Electronic address:

Purpose: In this study, we aimed to explore women's and their male partners' experiences with breast reconstruction (BR) decision and to study the evolution of their experiences since undergoing mastectomy to one year after.

Methods: Unstructured individual interviews with four couples facing mastectomy for breast cancer and BR decision-making were conducted following mastectomy (T1) and one year after mastectomy (T2). Longitudinal interpretative phenomenological analysis (LIPA) was conducted on the data.

View Article and Find Full Text PDF

DIFLF: A domain-invariant features learning framework for single-source domain generalization in mammogram classification.

Comput Methods Programs Biomed

January 2025

School of Engineering Medicine, Beihang University, Beijing 100191, PR China; Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the People's Republic of China, Beijing 100191, PR China; Beijing Engineering Research Center of Cardiovascular Wisdom Diagnosis and Treatment, Beijing 100029, PR China. Electronic address:

Background And Objective: Single-source domain generalization (SSDG) aims to generalize a deep learning (DL) model trained on one source dataset to multiple unseen datasets. This is important for the clinical applications of DL-based models to breast cancer screening, wherein a DL-based model is commonly developed in an institute and then tested in other institutes. One challenge of SSDG is to alleviate the domain shifts using only one domain dataset.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!