Bartron Medical Imaging, LLC (BMI) is a Maryland based corporation with its headquarters in Largo, Maryland and its Research and Development Laboratory in New Haven, Connecticut.  BMI is a high technology Minority Business Enterprise (MBE) that is dedicated to the development of advanced image analysis and data mining for biomedical applications.  BMI has adapted the use of NASA-pioneered technology to medical imaging. The company's licenses and patents enable novel analyses and evaluation of conventional medial imaging at levels never before achieved; pixels or sub-pixels.  These methods are presently being applied to clinical problems and are expected to improve diagnostic, treatment and follow-up/therapeutic applications.  For these purposes the company has developed, tested and manufactured the Walker Advanced Imaging System (WAIS), Biotech Data Image Management Diagnostic Systems (BDIMD) and the Medical Segmentation System (MED-SEG™). Bartron received its patent in December 2007 (U.S. #7346205 - System and Method for Rapidly Identifying Pathogens, Bacteria and Abnormal Cells).

BMI technology has been developed specifically for medical image processing utilizing NASA Goddard Space Flight Center-licensed software.  Other BMI-patented or patent-pending IP has come from licensed and modified software from CalTech/JPL and the Kennedy Space Flight Center.  The MED-SEG™ System brings out properties not seen with the naked eye or with current imaging enhancement systems.  It is based on Recursive Hierarchical Segmentation (RHSEG), a partitioning of an image into related sections or an entire region formed by aggregated feature values.  When powered by parallel processing computer clusters, this provides the clinician with rapid, sensitive, specific and precise analysis since each image pixel is treated separately.  The result is an accurate graphical representation of the imagery data with fine resolution of detail and minimal distortion.  Because the only information being analyzed originated in the actual image being processed, there is less distortion and better resolution, resulting in a more accurate and reliable analysis of the image. This furnishes the clinician with more fine-grain information, leading to a quicker and more definitive diagnosis or other evaluation. 

BMI is presently extending the MED-SEG™ System to include the processing of three-dimensional images

(See Press Room), as well as digitized two-dimensional images.  Images originate from radiological, ultrasound, magnetic imaging (MRI) and other sources, including microscopy and endoscopical examinations.  These applications all require unique algorithms and extremely powerful computational facilities.  In order to use the MED-SEG™ System for two-dimensional images, BMI developed a 64-node SCYLD Beowulf cluster.  BMI is presently completing the assembly of a 500-fold more powerful 128 node Scali Cluster that will be needed for the processing of three-dimensional images and the Oracle 10g Cluster to process and mine the data that is produced by these operations.  Thus, BMI offers the entire range of hardware and software necessary for any sized image-generating biomedical provider to rapidly and precisely process and analyze contemporary, high quality images and to mine data from past images.