Integrated multimedia electronic patient record and graph-based image information for cerebral tumors.
Current electronic patient record (EPR) implementations do not incorporate medical images, nor structural information extracted from them, despite images increasing role for diagnosis. This paper presents an integration framework into EPRs of anatomical and pathological knowledge extracted from segmented magnetic resonance imaging (MRI), applying a graph of representation for anatomical and functional information for individual patients. Focusing on cerebral tumors examination and patient follow-up, multimedia EPRs were created and evaluated through a 3D navigation application, developed with open-source libraries and standards. Results suggest that the enhanced clinical information scheme could lead to original changes in the way medical experts utilize image-based information.
Puentes
John
J
Institut TELECOM; TELECOM Bretagne, GET, Département Image et Traitement de l'Information, Brest, France. John.Puentes@telecom-bretagne.eu
Batrancourt
Bénédicte
B
Atif
Jamal
J
Angelini
Elsa
E
Lecornu
Laurent
L
Zemirline
Abdelhamid
A
Bloch
Isabelle
I
Coatrieux
Gouenou
G
Roux
Christian
C
D000465:Algorithms; D001932:Brain Neoplasms / Q000175:diagnosis*; D003196:Computer Graphics; D003199:Computer Systems; D044962:Data Compression; D005103:Expert Systems; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D008279:Magnetic Resonance Imaging; D016347:Medical Records Systems, Computerized; D019212:Multimedia; D011873:Radiology Information Systems / Q000295:instrumentation*; D012984:Software; D014584:User-Computer Interface