Evaluation of feature-based registration in dynamic infrared imaging for breast cancer diagnosis.
Dynamic infrared imaging has been proposed in literature as an interesting adjunctive technique to mammography in breast cancer diagnosis. For a correct analysis of the infrared image sequences, however, a preprocessing registration step may be fundamental. In this paper, we provide a first quantitative evaluation of the performances of registration on dynamic infrared images for this specific application. We propose an algorithm for the automatic control point localization and employ a feature-based piecewise linear registration approach. The quality of the image alignment is evaluated on a small sample of subjects, considering both alignment and localization errors. Results show that subject movement of up to five pixels is compensated, obtaining a subpixel error correction.
Agostini
Valentina
V
Dipartimento di Elettronica, Politecnico di Torino, Turin, Italy. Valentina.Agostini@delen.polito.it
Delsanto
Silvia
S
Molinari
Filippo
F
Knaflitz
Marco
M
D000368:Aged; D000465:Algorithms; D001185:Artificial Intelligence; D001943:Breast Neoplasms / Q000175:diagnosis*; D003952:Diagnostic Imaging / Q000295:instrumentation / Q000379:methods*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D007259:Infrared Rays; D008875:Middle Aged; D010363:Pattern Recognition, Automated / Q000379:methods*; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D013817:Thermography / Q000295:instrumentation / Q000379:methods*