Performance of an automated segmentation algorithm for 3D MR renography

Magnetic Resonance in Medicine

Volumn 57, Issue 6, 2007, Pages 1159-1167

  Rusinek, Henry ^a   Boykov, Yuri ^b   Kaur, Manmeen ^a   Wong, Samson ^a   Bokacheva, Louisa ^a   Sajous, Jan B ^a   Huang, Ambrose J ^c   Heller, Samantha ^a   Lee, Vivian S ^a  

^a NEW YORK UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF WESTERN ONTARIO   (Canada)

^c WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Error analysis; Image analysis; Magnetic resonance imaging; MR renography; Renal function

Indexed keywords

ERROR ANALYSIS; ERRORS; GRAPHIC METHODS; IMAGE ANALYSIS; MAGNETIC RESONANCE IMAGING;

ACCURACY AND PRECISION; AUTOMATED SEGMENTATION; COMPARTMENTAL MODEL; DYNAMIC CONTRAST ENHANCED; MANUAL SEGMENTATION; MR RENOGRAPHY; RENAL FUNCTIONS; SEGMENTATION TECHNIQUES;

IMAGE SEGMENTATION;

GADOLINIUM PENTETATE;

ACCURACY; ADULT; AGED; ALGORITHM; APPARATUS; ARTICLE; AUTOMATED SEGMENTATION ALGORITHM; AUTOMATION; BOLUS INJECTION; CLINICAL ARTICLE; COMPARTMENT MODEL; CONTRAST ENHANCEMENT; DATA ANALYSIS; FEMALE; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGING SYSTEM; KIDNEY FAILURE; KIDNEY FUNCTION; KIDNEY PLASMA FLOW; MAGNETIC RESONANCE RENOGRAPHY; MALE; NON INVASIVE MEASUREMENT; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PERFORMANCE; RENOGRAPHY; SAFETY; SIMULATION;

EID: 34250364959     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.21240     Document Type: Article

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