Larson Eric D, Lee Won-Mean, Roubidoux Marilyn A, Goodsitt Mitchell M, Lashbrook Chris, Davis Cynthia E, Kripfgans Oliver D, Carson Paul L
Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA.
Ultrasound Med Biol. 2018 Mar;44(3):734-742. doi: 10.1016/j.ultrasmedbio.2017.12.003. Epub 2018 Jan 5.
We analyzed the performance of a mammographically configured, automated breast ultrasound (McABUS) scanner combined with a digital breast tomosynthesis (DBT) system. The GE Invenia ultrasound system was modified for integration with GE DBT systems. Ultrasound and DBT imaging were performed in the same mammographic compression. Our small preliminary study included 13 cases, six of whom had contained invasive cancers. From analysis of these cases, current limitations and corresponding potential improvements of the system were determined. A registration analysis was performed to compare the ease of McABUS to DBT registration for this system with that of two systems designed previously. It was observed that in comparison to data from an earlier study, the McABUS-to-DBT registration alignment errors for both this system and a previously built combined system were smaller than those for a previously built standalone McABUS system.
我们分析了一款配置为乳腺钼靶的自动乳腺超声（McABUS）扫描仪与数字乳腺断层合成（DBT）系统相结合的性能。对通用电气（GE）Invenia超声系统进行了改装，以便与GE DBT系统集成。超声和DBT成像在相同的乳腺钼靶压迫条件下进行。我们的小型初步研究纳入了13例病例，其中6例含有浸润性癌。通过对这些病例的分析，确定了该系统当前的局限性以及相应的潜在改进措施。进行了配准分析，以比较该系统的McABUS与DBT配准的难易程度与之前设计的两个系统的配准难易程度。结果发现，与早期研究的数据相比，该系统和之前构建的组合系统的McABUS与DBT配准对准误差均小于之前构建的独立McABUS系统的对准误差。
