DR. RENDON C NELSON, M.D.
Radiology at Roxboro St, Durham, NC

License number
North Carolina 94-01279
Category
Radiology
Type
Diagnostic Radiology
Address
Address
4101 N Roxboro St, Durham, NC 27704
Phone
(919) 684-8111

Personal information

See more information about RENDON C NELSON at radaris.com
Name
Address
Phone
Rendon Nelson
2804 Chelsea Cir, Durham, NC 27707
Rendon Nelson
Chapel Hill, NC
(919) 967-5482
Rendon Nelson
113 Millbrae Ln, Chapel Hill, NC 27514
Rendon C Nelson
317 Steve Bonnet Wynd, Southport, NC 28461

Professional information

See more information about RENDON C NELSON at trustoria.com
Rendon C Nelson Photo 1
Rendon C Nelson, Durham NC

Rendon C Nelson, Durham NC

Specialties:
Radiologist
Address:
4101 N Roxboro St, Durham, NC 27704
Duke University Medical Ctr, Durham, NC 27710
Education:
Loma Linda University, School of Medicine - Doctor of Medicine
Loma Linda University Medical Center - Residency - Diagnostic Radiology
Board certifications:
American Board of Radiology Certification in Diagnostic Radiology (Radiology)


Rendon Nelson Photo 2
Rendon Nelson, Durham NC

Rendon Nelson, Durham NC

Specialties:
Radiology, Diagnostic Radiology, Body Imaging
Work:
Durham Va Medical Center
508 Fulton St, Durham, NC 27705
Education:
Loma Linda University (1980)


Rendon C Nelson Photo 3
Dr. Rendon C Nelson, Durham NC - MD (Doctor of Medicine)

Dr. Rendon C Nelson, Durham NC - MD (Doctor of Medicine)

Specialties:
Diagnostic Radiology
Address:
4101 N Roxboro St, Durham 27704
(919) 684-8111 (Phone)
THOMAS LEE ORTEL, MD
Duke University Medical Ctr, Durham 27710
(919) 684-8111 (Phone), (919) 681-8147 (Fax)
Certifications:
Diagnostic Radiology, 1985
Languages:
English
Education:
Medical School
Loma Linda University
Graduated: 1980
Loma Linda University Medical Center
Emory University
Background:
Sanction:  1 time(s)


Rendon Nelson Photo 4
Jetless Intravenous Catheters And Mechanical Assist Devices For Hand-Injection Of Contrast Media During Dynamic Tomography And Methods Of Use

Jetless Intravenous Catheters And Mechanical Assist Devices For Hand-Injection Of Contrast Media During Dynamic Tomography And Methods Of Use

US Patent:
2013026, Oct 10, 2013
Filed:
Jan 21, 2011
Appl. No.:
13/574705
Inventors:
Laurens E. Howle - Mebane NC, US
Rendon Nelson - Durham NC, US
Eli Nichols - Durham NC, US
Sebastian T. Schinders - Bern, CH
Courtney Coursey - Atlanta, GE
Paul W. Weber - Vienna VA, US
International Classification:
A61M 25/00, A61M 5/00
US Classification:
600432, 604118
Abstract:
A jetless intravenous catheter for the delivery of a fluid into a peripheral vein of a subject includes an elongated body having proximal and distal ends. The body includes a wall defining an internal fluid passageway configured to receive fluid flowing in a longitudinal direction from the proximal end at a first axial velocity and a tip aperture at the distal end configured to allow fluid to exit therethrough. The body comprises at least one flow reducing feature configured to create a laminar-turbulent transitional flow associated with a fluid flowing in the longitudinal direction at the first axial velocity and configured to reduce the flow velocity of fluid exiting the tip to a second axial velocity that is less than the first axial velocity.


Rendon Nelson Photo 5
Methods And Apparatus For Determining Body Weight And Fat Content Using Computed Tomography Data

Methods And Apparatus For Determining Body Weight And Fat Content Using Computed Tomography Data

US Patent:
8086012, Dec 27, 2011
Filed:
Oct 17, 2008
Appl. No.:
12/253889
Inventors:
Thomas Louis Toth - Brookfield WI, US
Daniele Marin - Durham NC, US
Lisa Ho - Durham NC, US
Rendon Nelson - Durham NC, US
Assignee:
General Electric Company - Schenectady NY
International Classification:
G06K 9/00, G01N 23/00, G01B 15/02
US Classification:
382131, 378 4, 378 54
Abstract:
Methods and apparatus for determining body weight and fat content using computed tomography data are provided. One method includes acquiring a pre-scan image using a computed tomography imaging system and segmenting the pre-scan image into pixels representing imaged fat and pixels representing imaged tissue. The method further includes determining a lean body weight based on the segmented pixels representing imaged fat and imaged tissue.