Cardiac MRI developer Magna-Lab increased its net loss to $1.9 million for its 2001 fiscal year (end-February 28), nearly double the net loss of $1 million reported in fiscal 2000. Nevertheless, the Edgewood, NY-based firm said its working capital situation has improved thanks to $7 million in new private equity received during the year. Magna-Lab had working capital of approximately $5.3 million by the end of fiscal 2001, compared with $277,000 at the close of fiscal 2000.
The company recently received regulatory clearance to market its newest product, Cardiac View. The device is a transesophageal receiving coil used in conjunction with an MRI scanner to produce high-resolution MR images of the heart.
By AuntMinnie.com staff writersMay 29, 2001
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Magna-Lab gets clearance for Cardiac View, May 23, 2001
Magna-Lab submits 510(k) for Cardiac View surface coil, March 20, 2001
Magna-Lab retains Covance, March 7, 2001
Magna-Lab files for FDA clearance, February 27, 2001
Magna-Lab names Geisel CEO, February 21, 2001
Copyright © 2001 AuntMinnie.com
![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.auntminnie.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)