This work proposes a robust method of identifying the optimal cancellation parameters for dual-energy imaging. We designed the proposed method in a simple and practical way for dual-energy subtraction by utilizing histogram information rather than spatial information of images. A classification predictive modeling based on XGBoost was employed to identify cancellation parameters for soft-tissue and bone selected images. We verified the robust performance of the proposed method for 500 chest x-ray examinations by comparing predicted cancellation parameters with the optimal values determined by well-trained radiologists. The value of the proposed work may contribute to advancements in chest x-ray imaging technologies.
While breast density is known as one of the critical risk factors of breast cancer, Digital breast tomosynthesis (DBT)-based diagnostic performance is known to have a strong dependence on breast density. As a potential solution to increase the diagnostic performance of DBT, we are investigating dual-energy DBT imaging techniques. We estimated partial path lengths of an x-ray through water, lipid, and protein from the measured dual-energy projection data and the object thickness information. We reconstructed material-selective DBT images for the material-decomposed projection. The feasibility of the proposed dual-energy DBT scheme has been demonstrated by using physical phantoms.
Purpose: To compare the visibility of microcalcifications and image quality of specimen mammograms obtained with the digital magnification algorithm(TruviewMAG) view and standard magnification view
Materials and Methods: Nineteen women (median age, 49 years; ranges, 38-71 years) who underwent stereotactic biopsy or ultrasound-guided vacuum-assisted biopsy for suspicious microcalcifications detected at mammography were prospectively enrolled. After biopsy, specimen mammograms were obtained to confirm the removal of microcalcifications. A pair of specimen mammogram were obtained with both TruviewMAG view (DRTECH Corp., Seongnam, Korea) and standard magnification view. Four blinded readers independently evaluated visibility of microcalcifications, contrast and resolution of specimen mammograms using a 10-point scale (1, poor; 10, excellent), and preference. In addition to specimen mammograms, we performed pilot clinical test to evaluate the visibility of microcalcifications in two patients.
Results: The visibility of microcalcifications on specimen mammograms obtained with TruviewMAG view was comparable to those obtained with standard magnification view in overall reading (mean, 8.2±1.8 vs. 8.1±1.4, P = .893). The contrast of specimen mammograms obtained with TruviewMAG view was comparable to those obtained with standard magnification view in overall reading (mean, 7.8±1.6 vs. 7.8±1.4, P = .827). The resolution of specimen mammograms obtained with TruviewMAG view was comparable to those obtained with standard magnification view in overall reading (mean, 7.7±1.7 vs. 7.5±1.3, P = .173). Four readers preferred TruviewMAG view and standard magnification view at equal rates. The mean entrance surface dose for TruviewMAG view was 2.88mGy, which was 58.3% reduction compared to 4.94 mGy in standard magnification view. The visibility of microcalcifications were similar in two patients (one with benign fibrocytic change, and the other with invasive ductal carcinoma)
Conclusion: The visibility of microcalcifications and image quality of the specimen mammograms obtained with TruviewMAG view was comparable with those obtained with standard magnification view. In clinical patients data, microcalcifications were well visualized on TruviewMAG view, even though prospective study with larger study population is needed to confirm our finding.
KEYWORDS: Mammography, Digital mammography, Image quality, Breast, Visibility, Image quality standards, Digital imaging, Analog electronics, Sensors, Breast cancer
Purpose: To compare the image quality of digital mammograms obtained with a cassette-type retrofit digital mammography (CRM) flat panel detector (FPD) installed on an analog system and the conventional full-field digital mammography (FFDM). Materials and Methods: Digital mammograms were prospectively obtained with a CRM FPD (RoseM 2430C, DRTECH Corp) installed on an analog system (Lorad M-IV, Hologic) in 90 women (median age, 49 years) who had previous mammograms obtained with the conventional FFDM units. Ninety pairs of mammograms were evaluated by two breast radiologists. The overall image quality (including contrast and sharpness) and visibility of normal structure were evaluated using a 5-point scale (1, poor; 5, excellent). If a lesion presents, the visibility of lesions was evaluated using a 4-point scale (1, not visible; 4: high conspicuity). Results: The contrast and sharpness of CRM FPD (mean, 4.1±0.8 and 4.0±0.9, respectively) were not significantly different from those of FFDM (mean, 4.2±0.5 and 4.2±0.5; P<0.05). Of 90 women, the overall image quality was similar between the two images in 39 (43%); FFDM showed better image quality in 33 (37%); CRM FPD showed better image quality in 18 (20%) (P=0.055). There were 54 lesions (44 calcifications, 6 masses, 3 asymmetries, and one mass with calcifications) in 33 women. The difference of lesion visibility between the FFDM (mean 3.3±0.8) and CRM FPD (mean 3.4±0.8) was not statistically significant (P=0.083). Conclusion: The image quality of the mammograms obtained with CRM FPD was comparable with that of FFDM.
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