Evolution of spatial resolution in breast CT at UC Davis.

PURPOSE Dedicated breast computed tomography (bCT) technology for the purpose of breast cancer screening has been a focus of research at UC Davis since the late 1990s. Previous studies have shown that improvement in spatial resolution characteristics of this modality correlates with greater microcalcification detection, a factor considered a potential limitation of bCT. The aim of this study is to improve spatial resolution as characterized by the modulation transfer function (MTF) via changes in the scanner hardware components and operational schema. METHODS Four prototypes of pendant-geometry, cone-beam breast CT scanners were designed and developed spanning three generations of design evolution. To improve the system MTF in each bCT generation, modifications were made to the imaging components (x-ray tube and flat-panel detector), system geometry (source-to-isocenter and detector distance), and image acquisition parameters (technique factors, number of projections, system synchronization scheme, and gantry rotational speed). RESULTS Characterization of different generations of bCT systems shows these modifications resulted in a 188% improvement of the limiting MTF properties from the first to second generation and an additional 110% from the second to third. The intrinsic resolution degradation in the azimuthal direction observed in the first generation was corrected by changing the acquisition from continuous to pulsed x-ray acquisition. Utilizing a high resolution detector in the third generation, along with modifications made in system geometry and scan protocol, resulted in a 125% improvement in limiting resolution. An additional 39% improvement was obtained by changing the detector binning mode from 2 × 2 to 1 × 1. CONCLUSIONS These results underscore the advancement in spatial resolution characteristics of breast CT technology. The combined use of a pulsed x-ray system, higher resolution flat-panel detector and changing the scanner geometry and image acquisition logic resulted in a significant fourfold improvement in MTF.

[1]  J. Boone,et al.  Evaluation of the spatial resolution characteristics of a cone-beam breast CT scanner. , 2006, Medical physics.

[2]  John M. Boone,et al.  Development and spatial resolution characterization of a dedicated pulsed x-ray, cone-beam breast CT system , 2013, Medical Imaging.

[3]  D. Kopans,et al.  Digital tomosynthesis in breast imaging. , 1997, Radiology.

[4]  Kai Yang,et al.  Noise power properties of a cone-beam CT system for breast cancer detection. , 2008, Medical physics.

[5]  Robert D. Speller,et al.  X-ray Performance Evaluation of the Dexela CMOS APS X-ray Detector Using Monochromatic Synchrotron Radiation in the Mammographic Energy Range , 2013, IEEE Transactions on Nuclear Science.

[6]  Kai Yang,et al.  A geometric calibration method for cone beam CT systems. , 2006, Medical physics.

[7]  Anita Nosratieh,et al.  Anatomical complexity in breast parenchyma and its implications for optimal breast imaging strategies. , 2012, Medical physics.

[8]  P. Porter,et al.  Breast density as a predictor of mammographic detection: comparison of interval- and screen-detected cancers. , 2000, Journal of the National Cancer Institute.

[9]  John M. Boone,et al.  Progress in the development of a dedicated breast CT scanner , 2004, SPIE Medical Imaging.

[10]  Kunio Doi,et al.  A simple method for determining the modulation transfer function in digital radiography , 1992, IEEE Trans. Medical Imaging.

[11]  E. Samei,et al.  A method for measuring the presampled MTF of digital radiographic systems using an edge test device. , 1998, Medical physics.

[12]  Jean B. Cormack,et al.  Combined screening with ultrasound and mammography vs mammography alone in women at elevated risk of breast cancer. , 2008, JAMA.

[13]  Kai Yang Development and evaluation of a dedicated breast CT scanner , 2007 .

[14]  L. Feldkamp,et al.  Practical cone-beam algorithm , 1984 .

[15]  J. Boone,et al.  Dedicated breast CT: initial clinical experience. , 2008, Radiology.

[16]  T. M. Kolb,et al.  Comparison of the performance of screening mammography, physical examination, and breast US and evaluation of factors that influence them: an analysis of 27,825 patient evaluations. , 2002, Radiology.

[17]  Kai Yang,et al.  The characterization of breast anatomical metrics using dedicated breast CT. , 2011, Medical physics.

[18]  Amy T. Wang,et al.  Impact of the 2009 US Preventive Services Task Force Guidelines on Screening Mammography Rates on Women in Their 40s , 2014, PloS one.

[19]  Jules H Sumkin,et al.  Diagnostic accuracy and recall rates for digital mammography and digital mammography combined with one-view and two-view tomosynthesis: results of an enriched reader study. , 2014, AJR. American journal of roentgenology.

[20]  John M Boone,et al.  Experimentally determined spectral optimization for dedicated breast computed tomography. , 2011, Medical physics.

[21]  Laurie L Fajardo,et al.  Breast tomosynthesis: present considerations and future applications. , 2007, Radiographics : a review publication of the Radiological Society of North America, Inc.

[22]  M. Yaffe,et al.  American Cancer Society Guidelines for Breast Screening with MRI as an Adjunct to Mammography , 2007 .

[23]  E. K. Adams,et al.  Mammography rates after the 2009 US Preventive Services Task Force breast cancer screening recommendation. , 2012, Preventive medicine.

[24]  John M. Boone,et al.  Improving the spatial resolution characteristics of dedicated cone-beam breast CT technology , 2014, Medical Imaging.

[25]  P. Judy,et al.  The line spread function and modulation transfer function of a computed tomographic scanner. , 1976, Medical physics.