TE Connectivity now offers special electromagnetic interference (EMI) filters for use in MRI rooms where class II drivers are used to power LED lighting.
The new filters are part of the Corcom line of products, which are engineered, sealed assemblies of electrical filtering components that eliminate electrical magnetic interference. With the new Corcom filters for LED lighting in MRI facilities, room light manufacturers can offer lighting while safeguarding against electrical interference risk to the MRI's functionality and output that may be caused by LED lights.
The filters are compatible with 40 V, 3A drivers, TE Connectivity said. They come with a steel mesh guard on the insert pipe that protects the MRI room from external radiated noise and EZ connect terminals for fast setup and install. The filter design can attenuate noise within the bandpass frequencies between 10 KHz and 1GHz. It uses a three-stage bandpass circuit to bring insertion loss down to -100dB. The filters come in versions with two, three, and four channels.
The filters will be sold through TE's distribution network.
![Overview of the study design. (A) The fully automated deep learning framework was developed to estimate body composition (BC) (defined as subcutaneous adipose tissue [SAT] in liters; visceral adipose tissue [VAT] in liters; skeletal muscle [SM] in liters; SM fat fraction [SMFF] as a percentage; and intramuscular adipose tissue [IMAT] in deciliters) from MRI. The fully automated framework comprised one model (model 1) to quantify different BC measures (SAT, VAT, SM, SMFF, and IMAT) as three-dimensional (3D) measures from whole-body MRI scans. The second model (model 2) was trained to identify standardized anatomic landmarks along the craniocaudal body axis (z coordinate field), which allowed for subdividing the whole-body measures into different subregions typically examined on clinical routine MRI scans (chest, abdomen, and pelvis). (B) BC was quantified from whole-body MRI in over 66,000 individuals from two large population-based cohort studies, the UK Biobank (UKB) (36,317 individuals) and the German National Cohort (NAKO) (30,291 individuals). Bar graphs show age distribution by sex and cohort. BMI = body mass index. (C) After the performance assessment of the fully automated framework, the change in BC measures, distributions, and profiles across age decades were investigated. Age-, sex-, and height-adjusted body composition reference curves were calculated and made publicly available in a web-based z-score calculator (https://circ-ml.github.io).](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/05/body-comp.XgAjTfPj1W.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
