title: Mono- and multimodal registration of optical breast images.
abstract: Optical breast imaging offers the possibility of noninvasive, low cost, and high sensitivity imaging of breast cancers. Poor spatial resolution and a lack of anatomical landmarks in optical images of the breast make interpretation difficult and motivate registration and fusion of these data with subsequent optical images and other breast imaging modalities. Methods used for registration and fusion of optical breast images are reviewed. Imaging concerns relevant to the registration problem are first highlighted, followed by a focus on both monomodal and multimodal registration of optical breast imaging. Where relevant, methods pertaining to other imaging modalities or imaged anatomies are presented. The multimodal registration discussion concerns digital x-ray mammography, ultrasound, magnetic resonance imaging, and positron emission tomography.
authors.affiliation: University Medical Center Utrecht, Image Sciences Institute, P.O. Box 85500, 3508 GA, Utrecht, The Netherlands. paulp@isi.uu.nl
authors.forename: Paul C
authors.initials: PC
authors.lastname: Pearlman
authors.forename: Arthur
authors.initials: A
authors.lastname: Adams
authors.forename: Sjoerd G
authors.initials: SG
authors.lastname: Elias
authors.forename: Willem P Th M
authors.initials: WP
authors.lastname: Mali
authors.forename: Max A
authors.initials: MA
authors.lastname: Viergever
authors.forename: Josien P W
authors.initials: JP
authors.lastname: Pluim
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001943:Breast Neoplasms / Q000175:diagnosis*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008327:Mammography / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique