Calibration and optimization of 3D digital breast tomosynthesis guided near infrared spectral tomography |
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| Authors: | Kelly E. Michaelsen Venkataramanan Krishnaswamy Linxi Shi Srinivasan Vedantham Steven P. Poplack Andrew Karellas Brian W. Pogue Keith D. Paulsen |
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| Affiliation: | 1.Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA;2.Department of Radiology, University of Massachusetts Medical School, Worcester, MA 01655, USA;3.Currently at School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA;4.Currently at Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110, USA |
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| Abstract: | ![]()
Calibration of a three-dimensional multimodal digital breast tomosynthesis (DBT) x-ray and non-fiber based near infrared spectral tomography (NIRST) system is challenging but essential for clinical studies. Phantom imaging results yielded linear contrast recovery of total hemoglobin (HbT) concentration for cylindrical inclusions of 15 mm, 10 mm and 7 mm with a 3.5% decrease in the HbT estimate for each 1 cm increase in inclusion depth. A clinical exam of a patient’s breast containing both benign and malignant lesions was successfully imaged, with greater HbT was found in the malignancy relative to the benign abnormality and fibroglandular regions (11 μM vs. 9.5 μM). Tools developed improved imaging system characterization and optimization of signal quality, which will ultimately improve patient selection and subsequent clinical trial results.OCIS codes: (120.3890) Medical optics instrumentation, (170.0110) Imaging systems, (170.3830) Mammography |
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