Microcalcification detection using cone-beam CT mammography with a flat-panel imager

Physics in Medicine and Biology

Volumn 49, Issue 11, 2004, Pages 2183-2195

  Gong, Xing ^a   Vedula, Aruna A ^a   Glick, Stephen A ^a  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CALCIFICATION (BIOCHEMISTRY); COMPUTER SIMULATION; DATA ACQUISITION; IMAGE RECONSTRUCTION; MAMMOGRAPHY; MATHEMATICAL MODELS; SILICON;

LINEAR CASCADED MODELS; MICROCALCIFICATION;

COMPUTERIZED TOMOGRAPHY;

CALCIUM CARBONATE; SILICON DIOXIDE;

ADIPOSE TISSUE; ANALYTICAL EQUIPMENT; AREA UNDER THE CURVE; ARTICLE; BREAST CALCIFICATION; BREAST CANCER; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER SIMULATION; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DIAGNOSTIC VALUE; EARLY DIAGNOSIS; GEOMETRY; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; MAMMOGRAPHY; PRIORITY JOURNAL; RADIATION BEAM; RECEIVER OPERATING CHARACTERISTIC; SIGNAL NOISE RATIO; SIMULATION; STATISTICAL MODEL; TUMOR VOLUME;

ALGORITHMS; BREAST DISEASES; CALCINOSIS; COMPUTER SIMULATION; EQUIPMENT FAILURE ANALYSIS; IMAGE ENHANCEMENT; IMAGING, THREE-DIMENSIONAL; MAMMOGRAPHY; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; TOMOGRAPHY, X-RAY COMPUTED;

EID: 3042784991     PISSN: 00319155     EISSN: None     Source Type: Journal    
DOI: 10.1088/0031-9155/49/11/005     Document Type: Article

References (18)

1. Barrett H H and Myers K J 2003 Foundations of Image Science (New York: Wiley)
2. Barrett H H and Swindell W 1996 Radiological Imaging, the Theory of Image Formation, Detection, and Processing (San Diego: Academic)
3. Boone J M et al 2001 Dediated breast CT: radiation dose and image quality evaluation Radiology 221 657-67
4. Boone J M and Seibert J A 1997, An accurate method for computer-generating tungsten anode x-ray spectra from 30 to 140 kV Med. Phys. 24 1661-70
5. Chang C H et al 1978 Computed tomographic evaluation of the breast Am. J. Roentgenol. 131 459-64
6. Chen B and Ning R 2002 Cone-beam volume CT breast imaging: feasibility study Med. Phys. 29 755-70
7. Feldkamp L A, Davis L C and Kress J W 1984 Practical cone-beam algorithm J. Opt. Soc. Am. 1 612-9
8. Glick S J, Vedantham S and Karellas A 2001 Investigation of optimal kVp settings for CT mammography using a flat-panel imager Proc. SPIE 4682 392-402
9. Johns P C and Yaffe M J 1987 X-ray characterisation of normal and neoplastic breast tissues Phys. Med. Biol. 32 675-95
10. Karolczak M et al 2001 Implementation of a cone-beam reconstruction algorithm for the single-circle source orbit with embedded misalignment correction using homogeneous coordinates Med. Phys. 28 2050-69
11. Kopans D B 1998 Breast Imaging (Philadelphia: Lippincott-Raven)
12. Metz C E 1986 ROC methodology in radiologic imaging Invest. Radiol. 21 720-33
13. Mushlin A I, Kouides R W and Shapiro D E 1998 Estimating the accuracy of screening mammography: a meta-analysis Am. J. Prev. Med. 14 143-53
14. Noo F et al 2000 Analytic method based on identification of ellipse parameters for scanner calibration in cone-beam tomography Phys. Med. Biol. 45 3489-508
15. Siewerdsen J H et al 1997 Empirical and theoretical investigation of the noise performance of indirect detection, active matrix flat-panel imagers (AMFPIs) for diagnostic radiology Med. Phys. 24 71-89
16. Siewerdsen J H and Jaffray D A 2000 Optimization of x-ray imaging geometry (with specific application to flat-panel cone-beam computed tomography) Med. Phys. 27 1903-14
17. Vadentham S 2002 Design and Characterization of a High-Resolution Cardiovascular Imager (Worcester, MA: WPI)
18. Waterloo Maple Inc. Maple 8