Titlebook: Breast Imaging; 11th International W Andrew D. A. Maidment,Predrag R. Bakic,Sara Gaveno Conference proceedings 2012 Springer-Verlag Berlin

進步

死亡率

Multimodal Classification of Breast Masses in Mammography and MRI Using Unimodal Feature Selection atimodal classification offered increased performance compared to MG and MRI (P=0.181 and P=0.087). In conclusion, unimodal feature selection significantly increased multimodal classification performance and can provide a useful tool for generating joint CADx scores in the multimodal setting.

conquer

滔滔不絕的人

Personalizing Mammographic Dosimetry Using Multilayered Anatomy-Based Breast Modelsa homogeneous glandular tissue distribution, despite the current methods predicting the same coefficient for all glandular tissue distributions. The proposed methods were applied to a group of patients. For the cases analyzed, the variation in MGD was as large as 14.8% for a highly heterogeneous dense breast.

割讓

A Directional Small-Scale Tissue Model for an Anthropomorphic Breast Phantomhe distribution of the orientation measure computed from the enhanced phantom was more similar to that in actual mammograms. In conclusion, the use of a directional model to simulate fibroglandular tissue greatly improves the realism of the breast phantom.

Folklore

小母馬

The Effect of Amorphous Selenium Thickness on Imaging Performance of Contrast Enhanced Digital Breas conspicuity of malignant lesions. To image above the k-edge of iodine (33 keV), CEDBT requires x-ray energies higher than those of typical mammograms (~28 kVp). Increasing the thickness of the detector’s amorphous selenium (a-Se) layer improves x-ray absorption and detective quantum efficiency (DQE

花爭吵

凌辱

Determination of System Geometrical Parameters and Consistency between Scans for Contrast-Enhanced Dchniques employed in dual-energy contrast-enhanced tomosynthesis require that scans be performed under nearly identical geometrical conditions. A geometrical calibration algorithm is developed to investigate system geometry and geometrical consistency of image acquisition between consecutive digital

閑蕩

Initial Experience with Dual-Energy Contrast-Enhanced Digital Breast Tomosynthesis in the Charactericharacteristics of breast cancer in comparison with breast MRI and digital mammography (DM). Eight patients with newly diagnosed breast cancer were imaged with an automated dual-energy CE-DBT system. High energy/low energy image pairs of the index breast were obtained at 1 pre- and 3 post-contrast t