MARK WAYNE LENOX
Pilots at Clipstone Pl, College Station, TX

License number

Texas A2570412

Issued Date

Jan 2016

Expiration Date

Jan 2018

Professional information

Director Of Imaging At The Texas A&Amp;M Institute For Preclinical Studies

Position:

Director of Imaging at Texas A&M University, Chief Scientific Officer at CVUS Clinical Trials, Chairman, Scientific Advisory Board at CVUS, Board Member at Dr. James Noel Foundation, Director, Sr. Partner at Lenox Engineering

Location:

Bryan/College Station, Texas Area

Industry:

Medical Devices

Work:

Texas A&M University - College Station, Texas since May 2009 - Director of Imaging CVUS Clinical Trials since May 2013 - Chief Scientific Officer CVUS - College Station, TX since Mar 2013 - Chairman, Scientific Advisory Board Dr. James Noel Foundation - College Station, TX since Aug 2012 - Board Member Lenox Engineering since Jun 2007 - Director, Sr. Partner Womens 3D - College Station, TX Nov 2009 - Mar 2013 - CSO, Co-Founder Siemens Molecular Imaging 1992 - 2007 - Director, New Product Development

Education:

University of Tennessee-Knoxville 2007 - 2009
Ph.D., Computer Science Texas A&M University 1989 - 1990
MS, Electrical Engineering Arizona State University 1985 - 1989
BS, Systems Engineering

Skills:

Software Development, Project Management, Medical Imaging, Medical Device R&D, GLP, GMP, Electrical Engineering, Interdisciplinary Research, Entrepreneurship, Physics, Engineering

Emission Computed Tomography For Guidance Of Sampling And Therapeutic Delivery

US Patent:

2013030, Nov 21, 2013

Filed:

Nov 7, 2012

Appl. No.:

13/671305

Inventors:

Mark W. Lenox - College Station TX, US

Assignee:

The Texas A&M University System - College Station TX

International Classification:

A61N 5/10, G06T 11/00

US Classification:

382131

Abstract:

Treatment for a variety of diseases often requires guidance for the delivery of either a drug or radiation to the disease site. Positron Emission Tomography (PET) can provide three dimensional positioning of the location of positron emitting radioisotopes that can mark a disease site. However, the inversion of the raw emission projection data into a 3D volume is computationally intensive, and this results in a low update or frame rate. In order to be useful in either guiding a surgeon, or some other automated feedback approach, the update/frame rate must be of sufficient speed that the user can effectively control the process. This approach provides a substantial improvement to the frame rate by taking advantage of iterative reconstruction methodologies to shortcut the reconstruction process.