Spleen Segmentation and Assessment in CT Images for Traumatic Abdominal Injuries

Journal of Medical Systems

Volumn 39, Issue 9, 2015, Pages

  Reza Soroushmehr, S M ^a,d   Davuluri, Pavani ^b   Molaei, Somayeh ^a   Hargraves, Rosalyn Hobson ^b   Tang, Yang ^c   Cockrell, Charles H ^c   Ward, Kevin ^a,d   Najarian, Kayvan ^a,d  

^a UNIVERSITY OF MICHIGAN   (United States)

^b Virginia Commonwealth University   (United States)

^c VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

^d UNIVERSITY OF MICHIGAN HEALTH SYSTEM   (United States)

Author keywords

Contrast enhancement; Edge detection; Seed growing; Spleen segmentation; Traumatic abdominal injuries

Indexed keywords

CONTRAST MEDIUM;

ABDOMINAL BLEEDING; ABDOMINAL INJURY; ALGORITHM; ANATOMIC LANDMARK; ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONTRAST ENHANCEMENT; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; GOLD STANDARD; HUMAN; IMAGE ENHANCEMENT; PERITONEAL CAVITY; SENSITIVITY AND SPECIFICITY; SPLEEN; SPLEEN INJURY; SPLEEN SEGMENTATION; SPLEEN SIZE; ABDOMINAL INJURIES; COMPUTER ASSISTED DIAGNOSIS; HEMORRHAGE; INJURIES; INJURY SCALE; LACERATIONS; PROCEDURES; RADIOGRAPHY;

ABDOMINAL INJURIES; ALGORITHMS; HEMORRHAGE; HUMANS; LACERATIONS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SENSITIVITY AND SPECIFICITY; SPLEEN; TOMOGRAPHY, X-RAY COMPUTED; TRAUMA SEVERITY INDICES;

EID: 84938149068     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-015-0271-x     Document Type: Article

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