Multi-modality 3D breast imaging with X-Ray tomosynthesis and automated ultrasound
被引:15
作者:
Sinha, Sumedha P.
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机构:
Univ Michigan, Dept Biomed Engn, Dept Radiol, Ann Arbor, MI 48109 USAUniv Michigan, Dept Biomed Engn, Dept Radiol, Ann Arbor, MI 48109 USA
Sinha, Sumedha P.
[1
]
Roubidoux, Marilyn A.
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机构:
Univ Michigan, Dept Radiol, Ann Arbor, MI 48109 USAUniv Michigan, Dept Biomed Engn, Dept Radiol, Ann Arbor, MI 48109 USA
Roubidoux, Marilyn A.
[2
]
Helvie, Mark A.
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h-index: 0
机构:
Univ Michigan, Dept Radiol, Ann Arbor, MI 48109 USAUniv Michigan, Dept Biomed Engn, Dept Radiol, Ann Arbor, MI 48109 USA
Helvie, Mark A.
[2
]
Nees, Alexis V.
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机构:
Univ Michigan, Dept Radiol, Ann Arbor, MI 48109 USAUniv Michigan, Dept Biomed Engn, Dept Radiol, Ann Arbor, MI 48109 USA
Nees, Alexis V.
[2
]
Goodsitt, Mitchell M.
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机构:
Univ Michigan, Dept Radiol, Ann Arbor, MI 48109 USAUniv Michigan, Dept Biomed Engn, Dept Radiol, Ann Arbor, MI 48109 USA
Goodsitt, Mitchell M.
[2
]
LeCarpentier, Gerald L.
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机构:
Univ Michigan, Dept Radiol, Ann Arbor, MI 48109 USAUniv Michigan, Dept Biomed Engn, Dept Radiol, Ann Arbor, MI 48109 USA
LeCarpentier, Gerald L.
[2
]
Fowlkes, J. Brian
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机构:
Univ Michigan, Dept Biomed Engn, Dept Radiol, Ann Arbor, MI 48109 USAUniv Michigan, Dept Biomed Engn, Dept Radiol, Ann Arbor, MI 48109 USA
Fowlkes, J. Brian
[1
]
Chalek, Carl L.
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机构:
GE Global Res, Niskayuna, NY USAUniv Michigan, Dept Biomed Engn, Dept Radiol, Ann Arbor, MI 48109 USA
Chalek, Carl L.
[3
]
Carson, Paul L.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Michigan, Dept Biomed Engn, Dept Radiol, Ann Arbor, MI 48109 USAUniv Michigan, Dept Biomed Engn, Dept Radiol, Ann Arbor, MI 48109 USA
Carson, Paul L.
[1
]
机构:
[1] Univ Michigan, Dept Biomed Engn, Dept Radiol, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Dept Radiol, Ann Arbor, MI 48109 USA
[3] GE Global Res, Niskayuna, NY USA
来源:
2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16
|
2007年
关键词:
automated ultrasound;
breast cancer digital tomosynthesis;
multi-modality breast imaging;
D O I:
10.1109/IEMBS.2007.4352544
中图分类号:
R318 [生物医学工程];
学科分类号:
0831 ;
摘要:
This study evaluated the utility of 313 automated ultrasound in conjunction with 3D digital X-Ray tomosynthesis for breast cancer detection and assessment, to better localize and characterize lesions in the breast. Tomosynthesis image volumes and automated ultrasound image volumes were acquired in the same geometry and in the same view for 27 patients. 3 MQSA certified radiologists independently reviewed the image volumes, visually correlating the images from the two modalities with in-house software. More sophisticated software was used on a smaller set of 10 cases, which enabled the radiologist to draw a 3D box around the suspicious lesion in one image set and isolate an anatomically correlated, similarly boxed region in the other modality image set. In the primary study, correlation was found to be moderately useful to the readers. In the additional study, using improved software, the median usefulness rating increased and confidence in localizing and identifying the suspicious mass increased in more than half the cases. As automated scanning and reading software techniques advance, superior results are expected.