Open AccessUse of an Image Restoration Process to Improve Spatial Resolution in Bioluminescence Imaging
Author(s) -
Sabrina Pesnel,
Smaïl Akkoul,
Roger Lédée,
Rémy Leconge,
Arnaud Pillon,
Anna Kruczynski,
Rachid Harba,
Stéphanie Lerondel,
Alain Le Pape
Publication year - 2011
Publication title -
molecular imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.815
H-Index - 60
eISSN - 1536-0121
pISSN - 1535-3508
DOI - 10.2310/7290.2011.00012
Subject(s) - bioluminescence , bioluminescence imaging , image resolution , in vivo , preclinical imaging , image restoration , pathology , biomedical engineering , nuclear medicine , computer science , image processing , artificial intelligence , biology , medicine , image (mathematics) , luciferase , transfection , microbiology and biotechnology , ecology , genetics , cell culture
To improve spatial resolution in in vivo bioluminescence imaging, a photon scattering correction, image restoration method was tested. The chosen algorithm was tested on in vivo bioluminescent images acquired on three representative tumor models: subcutaneous, pulmonary, and disseminated peritoneal. Tumor size was chosen as a quantitative criterion, such that the tumor reference measurements (determined photographically or by computed tomography) were compared to those derived from bioluminescent images, before and after restoration. This technique allowed a significant reduction to be achieved in the relative error between reference measurements and dimensions derived from bioluminescent images. In addition, improved delineation of the tumor foci was achieved. The restoration method allows spatial resolution in bioluminescence imaging to be improved, with interesting perspectives in terms of staging and quantitation in experimental oncology
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom