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Vedantham S, Shi L, Michaelsen KE, et al. Digital Breast Tomosynthesis guided Near Infrared Spectroscopy: Volumetric estimates of fibroglandular fraction and breast density from tomosynthesis reconstructions. Biomed Phys Eng Express. 2015;1(4)doi: 10.1088/2057-1976/1/4/045202.
Vedantham, S., Shi, L., Michaelsen, K. E., Krishnaswamy, V., Pogue, B. W., Poplack, S. P., Karellas, A., & Paulsen, K. D. (2015). Digital Breast Tomosynthesis guided Near Infrared Spectroscopy: Volumetric estimates of fibroglandular fraction and breast density from tomosynthesis reconstructions. Biomedical physics & engineering express, 1(4), . https://doi.org/10.1088/2057-1976/1/4/045202
Vedantham, Srinivasan, et al. "Digital Breast Tomosynthesis guided Near Infrared Spectroscopy: Volumetric estimates of fibroglandular fraction and breast density from tomosynthesis reconstructions." Biomedical physics & engineering express vol. 1,4 (2015). doi: https://doi.org/10.1088/2057-1976/1/4/045202
Vedantham S, Shi L, Michaelsen KE, Krishnaswamy V, Pogue BW, Poplack SP, Karellas A, Paulsen KD. Digital Breast Tomosynthesis guided Near Infrared Spectroscopy: Volumetric estimates of fibroglandular fraction and breast density from tomosynthesis reconstructions. Biomed Phys Eng Express. 2015;1(4). doi: 10.1088/2057-1976/1/4/045202. Epub 2015 Oct 27. PMID: 26941961; PMCID: PMC4771071.
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Biomed Phys Eng Express. 2015;1(4). doi: 10.1088/2057-1976/1/4/045202. Epub 2015 Oct 27.

Digital Breast Tomosynthesis guided Near Infrared Spectroscopy: Volumetric estimates of fibroglandular fraction and breast density from tomosynthesis reconstructions.

Biomedical physics & engineering express

Srinivasan Vedantham, Linxi Shi, Kelly E Michaelsen, Venkataramanan Krishnaswamy, Brian W Pogue, Steven P Poplack, Andrew Karellas, Keith D Paulsen

Affiliations

  1. Department of Radiology, University of Massachusetts Medical School, Worcester, MA 01655, USA.
  2. Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA.
  3. Department of Radiology, Dartmouth-Hitchcock Medical Center, Lebanon, NH 03756, USA.
  4. Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA; Department of Radiology, Dartmouth-Hitchcock Medical Center, Lebanon, NH 03756, USA.

PMID: 26941961 PMCID: PMC4771071 DOI: 10.1088/2057-1976/1/4/045202

Abstract

A multimodality system combining a clinical prototype digital breast tomosynthesis with its imaging geometry modified to facilitate near-infrared spectroscopic imaging has been developed. The accuracy of parameters recovered from near-infrared spectroscopy is dependent on fibroglandular tissue content. Hence, in this study, volumetric estimates of fibroglandular tissue from tomosynthesis reconstructions were determined. A kernel-based fuzzy c-means algorithm was implemented to segment tomosynthesis reconstructed slices in order to estimate fibroglandular content and to provide anatomic priors for near-infrared spectroscopy. This algorithm was used to determine volumetric breast density (VBD), defined as the ratio of fibroglandular tissue volume to the total breast volume, expressed as percentage, from 62 tomosynthesis reconstructions of 34 study participants. For a subset of study participants who subsequently underwent mammography, VBD from mammography matched for subject, breast laterality and mammographic view was quantified using commercial software and statistically analyzed to determine if it differed from tomosynthesis. Summary statistics of the VBD from all study participants were compared with prior independent studies. The fibroglandular volume from tomosynthesis and mammography were not statistically different (

Keywords: Breast Density; Breast [A01.236]; Digital Breast Tomosynthesis; Mammography [E01.370.350.700.500]; Near-Infrared [E01.370.350.750]; Spectroscopy

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