RADIO PHARMACEUTICAL PRODUCTS CLINICAL

Brand Owner Address Description
DRYTEC GE HEALTHCARE LIMITED (Trademarks: 801-4) 901 Main Avenue Norwalk CT 06851 Radio pharmaceutical products for clinical and medical use; radioactive sources and standards for use in nuclear medicine; radioactive pharmaceutical preparations and non-radioactive reagents for producing radio pharmaceuticals for in vivo diagnostic or therapeutic use;DRY TECHNOLOGY;Surgical and medical apparatus and instruments used for the purpose of measuring, monitoring and surveying in the field of radio therapy, comprised of medical needles, suture needles, implantable radiation therapy devices consisting of encapsulated radioisotope brachytherapy sources, radiation therapy delivery system consisting primarily of radioactive seeds and a bioabsorbable carrier assembly; magnetic resonance imagers, MRI; x-ray apparatus for medical use; x-ray diagnostic apparatus, computerized tomography, CAT scanners and ultrasound imagers; radiological apparatus for diagnostic and medical purposes; testing instruments, namely medical cartridges, vials, sterile needles and protectors; radioactive shields and storage units; generators for medical usage, namely apparatus for processing radioactive molecules for production of solutions used for diagnostic and therapeutic purposes;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. A method and apparatus are provided for adjusting a dynamic range of a digital medical image for a medical imaging system. The digital medical image contains a clinical region and a non-clinical region. The method and apparatus identify the non-clinical region of the digital medical image and mask the non-clinical region therefrom to form a clinical image. The clinical image is then used to calculate a desired dynamic range for the medical imaging system. The dynamic range of the medical imaging system is adjusted accordingly. According to one embodiment, the non-clinical region is identified by dividing the digital medical image into bands of a predetermined width, generating profiles for each band and differentiating the profiles to obtain a differentiated profile of each band of a digital medical image. The differentiated profile is than analyzed to identify peaks that exceed predetermined thresholds, wherein the regions of the differentiated profile proximate the peaks exceeding the threshold correspond to non-clinical regions. Once the non-clinical regions are identified, they are masked or removed. Next, a desired image characteristic, such as maximum and minimum gray scale values, are determined for the clinical region and a desired dynamic range for the image is obtained based on the image characteristics of the clinical region. In an alternative embodiment, a histogram is used to identify the non-clinical regions which are subsequently masked from the digital medical image.