CLINICAL CONNECT

Brand	Owner (click to sort)	Address	Description
CLINCONNECT	HARRIS LABORATORIES, INC.	621 Rose P.O. Box 80837 Lincoln NE 68501	CLINICAL CONNECT;Providing information regarding clinical research and test results via video conferencing, fax, e-mail, and a global computer network;
CLINICALCONNECT	AccessPoint Marketing, Inc.	Suite 220 4021 Stirrup Creek Drive Durham NC 27703	CLINICAL CONNECT;Providing attendees of medical meetings the ability to acquire in-depth information about posters displayed at the meetings by providing a telephone number which attendees can call to hear a presentation by the author, sending an abstract of the poster via text message, and forwarding a PDF of the poster abstract, along with additional information, to the attendees' e-mail addresses;
CLINICALCONNECT	Netwolves Network Services	4710 Eisenhower Boulevard, Suite E-8 Tampa FL 33634	CLINICAL CONNECT;Healthcare information technology services; healthcare data security services for healthcare clinics;
	Where the owner name is not linked, that owner no longer owns the brand

Technical Examples

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.