Noise estimation in infrared image sequences: A tool for the quantitative evaluation of the effectiveness of registration algorithms

IEEE Transactions on Biomedical Engineering

Volumn 55, Issue 7, 2008, Pages 1917-1920

  Agostini, Valentina ^a   Delsanto, Silvia ^b   Knaflitz, Marco ^a   Molinari, Filippo ^a  

^a POLITECNICO DI TORINO   (Italy)

^b Im3D SpA   (Italy)

Author keywords

Breast cancer detection; Dynamic infrared imaging (DIRI); Image registration; SNR estimation; Thermal image sequence

Indexed keywords

ALGORITHMS; BESSEL FUNCTIONS; BOOLEAN FUNCTIONS; DIAGNOSTIC RADIOGRAPHY; ESTIMATION; EVOLUTIONARY ALGORITHMS; FOURIER SERIES; HARMONIC ANALYSIS; IMAGE ENHANCEMENT; IMAGING SYSTEMS; IMAGING TECHNIQUES; INFRARED IMAGING; MEDICAL IMAGING; PIECEWISE LINEAR TECHNIQUES; SCHEDULING ALGORITHMS; TEMPERATURE DISTRIBUTION; THERMAL EFFECTS; THERMOGRAPHY (IMAGING); WIRELESS TELECOMMUNICATION SYSTEMS;

BLOOD PERFUSION; BREAST CANCER DIAGNOSIS; FEATURE-BASED REGISTRATION; FRAME RATES; IMAGE PIXELS; IMAGE SEQUENCING; INFRARED (IR); INFRARED (IR) IMAGE SEQUENCES; MOTION ARTIFACT (MA); NOISE ESTIMATIONS; PIECE-WISE LINEAR (PWL); QUANTITATIVE EVALUATION; REFERENCE POINT (RP); REGISTRATION ALGORITHMS; SIGNAL FLUCTUATIONS; SIGNAL OF INTEREST (SOI); SNR IMPROVEMENTS; TEMPERATURE FLUCTUATIONS; TEMPERATURE TIME; TIME SERIES;

TIME SERIES ANALYSIS;

ALGORITHM; ARTICLE; ARTIFACT; BREAST CANCER; CANCER DIAGNOSIS; EVALUATION; HUMAN; IMAGE ANALYSIS; IMAGING; INFRARED RADIATION; MAMMOGRAPHY; MATHEMATICAL ANALYSIS; MEASUREMENT; NOISE; PATIENT POSITIONING; QUANTITATIVE ANALYSIS; SIGNAL DETECTION; SIGNAL NOISE RATIO; TEMPERATURE; THERMAL ANALYSIS; TIME SERIES ANALYSIS; VELOCITY;

ALGORITHMS; BODY TEMPERATURE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFRARED RAYS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SKIN PHYSIOLOGY; SUBTRACTION TECHNIQUE;

EID: 45749140110     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2008.919842     Document Type: Article

References (9)

1. K. R. Foster, "Thermographic detection of breast cancer," IEEE Eng. Med. Biol., vol. 17, no. 6, pp. 10-14, Nov./Dec. 1998.
2. M. Anbar, L. Milescu, A. Naumov, C. Brown, T. Button, C. Carty, and K. AlDulaimi, "Detection of cancerous breasts by dynamic area telethermometry," IEEE Eng. Med. Biol., vol. 20, no. 5, pp. 80-91, Sep./Oct. 2001.
3. M. Anbar, C. Brown, L. Milescu, L. Babalola, and L. Gentner, "The potential of dynamic area telethermometry in assessing breast cancer," IEEE Eng. Med. Biol., vol. 19, no. 3, pp. 58-62, Mar./Apr. 2000.
4. T. M. Button, H. Li, P. Fisher, R. Rosenblatt, K. Dulaimy, S. Li, B. O'Hea, M. Salvitti, V. Geronimo, C. Geronimo, S. Jambawalikar, P. Carvelli, and R. Weiss, "Dynamic infrared imaging for the detection of malignancy," Phys. Med. Biol., vol. 49, pp. 3105-3116, 2004.
5. M. Janicek, G. Demetri, M. R. Janicek, K. Shaffer, and M. A. Fauci, "Dynamic infrared imaging of newly diagnosed malignant lymphoma compared with gallium-67 and fluorine-18 fluorodeoxyglucose (FDG) positron emission tomography," Tech. Cancer Res. Treat., vol. 2, no. 6, pp. 571-577, 2003.
6. V. Agostini, S. Delsanto, F. Molinari, and M. Knaflitz, "Evaluation of feature-based registration in dynamic infrared imaging for breast cancer diagnosis," in Proc. 28th IEEE EMBS Annu. Int. Conf., New York, 2006, pp. 953-956.
7. A. Goshtasby, "Piecewise linear mapping functions for image registration," Pattern Recog., vol. 19, pp. 459-466, 1986.
8. L. Zagorchev and A. Goshtashby, "A comparative study of transformation functions for nonrigid image registration," IEEE Trans. Image Process., vol. 15, no. 3, pp. 529-538, Mar. 2006.
9. F. Aurenhammer, "Voronoi diagrams - A survey of a fundamental geometric data structure," ACM Comput. Surveys (CSUR), vol. 23, no. 3, pp. 345-405, 1991.