Visibility of microcalcifications in CCD-based cone beam CT: a preliminary study

In this work, we investigated the visibility of microcalcifications in CCD-based cone beam CT (CBCT) breast imaging. A paraffin cylinder with a diameter of 135 mm and a thickness of 40 mm was used to simulate a 100% adipose breast. Calcium carbonate grains, ranging from 140-150 to 200-212 μm in size, were used to simulate the microcalcifications. Groups of 25 same size microcalcifications were arranged into 5 × 5 clusters. Each cluster was embedded at the center of a smaller (15 mm diameter) cylindrical paraffin phantom, which were inserted into a hole at the center of the breast phantom. The breast phantom with the simulated microcalcifications was scanned on a bench top experimental CCDbased cone beam CT system at various exposure levels with two CCD cameras: Hamamatsu's C4742-56-12ER and Dalsa 99-66-0000-00. 300 projection images were acquired over 360° and reconstructed with Feldkamp's backprojection algorithm using a ramp filter. The images were reviewed by 6 readers independently. The ratios of visible microcalcifications were recorded and averaged over all readers. These ratios were plotted as the function of measured image signal-to-noise ratio (SNR) for various scans. It was found that 94% visibility was achieved for 200-212 μm calcifications at an SNR of 48.2 while 50% visibility was achieved for 200-212, 180-200, 160-180, 150-160 and 140-150 μm calcifications at an SNR of 25.0, 35.3, 38.2, 42.2 and 64.4, respectively.

[1]  P. Huynh,et al.  The false-negative mammogram. , 1998, Radiographics : a review publication of the Radiological Society of North America, Inc.

[2]  John M Lewin,et al.  Dual-energy contrast-enhanced digital subtraction mammography: feasibility. , 2003, Radiology.

[3]  Biao Chen,et al.  Cone-beam volume CT breast imaging: feasibility study. , 2002, Medical physics.

[4]  Aruna A. Vedula,et al.  Microcalcification detection using cone-beam CT mammography with a flat-panel imager. , 2004, Physics in medicine and biology.

[5]  Erik L. Ritman,et al.  Local Tomography II , 1997, SIAM J. Appl. Math..

[6]  G S Shaber,et al.  Dual-energy mammography: a detector analysis. , 1990, Medical physics.

[7]  C. D'Orsi,et al.  Clinical comparison of full-field digital mammography and screen-film mammography for detection of breast cancer. , 2002, AJR. American journal of roentgenology.

[8]  D. Kopans,et al.  Tomographic mammography using a limited number of low-dose cone-beam projection images. , 2003, Medical physics.

[9]  J Whitehead,et al.  Mammographic calcifications and risk of subsequent breast cancer. , 1993, Journal of the National Cancer Institute.

[10]  Yoji Urata,et al.  Dynamic helical CT mammography of breast cancer , 2006, Radiation Medicine.

[11]  J. Boone,et al.  Dedicated breast CT: radiation dose and image quality evaluation. , 2001, Radiology.

[12]  S. Ciatto,et al.  Mammographic appearance of calcifications as a predictor of intraductal carcinoma histologic subtype , 1994, European Radiology.

[13]  Yong Yu,et al.  Evaluation of flat panel detector cone beam CT breast imaging with different sizes of breast phantoms , 2005, SPIE Medical Imaging.

[14]  Lingyun Chen,et al.  Visibility of microcalcification in cone beam breast CT: effects of X-ray tube voltage and radiation dose. , 2007, Medical physics.

[15]  S J Dwyer,et al.  Computed tomographic mammography using a conventional body scanner. , 1982, AJR. American journal of roentgenology.

[16]  John M Boone,et al.  Breast CT: potential for breast cancer screening and diagnosis. , 2006, Future oncology.

[17]  James T Dobbins,et al.  Digital x-ray tomosynthesis: current state of the art and clinical potential. , 2003, Physics in medicine and biology.

[18]  Chris C. Shaw,et al.  Feasibility of dual-resolution cone beam breast CT: a simulation study , 2008, SPIE Medical Imaging.

[19]  Koichi Ogawa,et al.  A Reconstruction Algorithm from Truncated Projections , 1984, IEEE Transactions on Medical Imaging.