X-Ray mammography has contributed to a reduction in mortality due to breast cancer. It is inherently limited, though, as it is incapable of direct observation of physiological information relevant to the """"""""functioning of cancer,"""""""" which ultimately limits the specificity and prognostic ability of X-Ray mammography. Diffuse optical tomography (or tomographic optical breast imaging) is a promising imaging modality that provides information on the functioning and evolution of cancer - in particular, angiogenesis and hemoglobin oxygen saturation. It suffers, however, from limited spatial resolution relative to X-Ray, and this inhibits structural guidance and interpretation of the images obtained. This obstacle can be overcome by acquiring diffuse optical and X-Ray mammographic images """"""""simultaneously"""""""" - that is, by combining the two modalities in a pioneering effort to overcome their respective limitations, mammography limited by specificity and optical limited by resolution, to produce a new multi-modality imaging method with enhanced specificity and prognostic value. We propose to advance the clinical utility of tomographic optical breast imaging by synergistically fusing the diffuse optical technology with state-of-the-art digital X-Ray mammographic 3D tomography (known as Tomosynthesis), thus producing a multi-modality imaging method that integrates structural and functional information relevant to the screening and diagnosis of breast cancer. We believe that this combination will ultimately allow better differentiation of tumors through angiogenic and metabolic markers known to have prognostic value. During this grant period, we propose to further develop the optical technology and perform a clinical study to explore the optical sensitivity to detecting lesions already indicated by X-Ray, and the optical specificity to identifying malignant lesions as characterized by biopsy. We will also explore imaging tissue dynamic biomarkers such as blood flow and oxygen consumption using time-resolved optical measurement for breast under mammographic compression. This research project would not be feasible without the clinical research expertise of the Breast Imaging Research Lab, headed by Dr. Kopans.

Public Health Relevance

The proposed work aims to improve the accuracy and effectiveness of mammographic screening techniques by combining functional optical imaging with structural x-ray mammography. The major public health benefits are expected to be the detection of more early stage cancers and a reduction in unnecessary biopsy procedures.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA097305-07
Application #
7754394
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Baker, Houston
Project Start
2002-08-01
Project End
2013-11-30
Budget Start
2009-12-01
Budget End
2010-11-30
Support Year
7
Fiscal Year
2010
Total Cost
$415,531
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
Sajjadi, Amir Y; Isakoff, Steven J; Deng, Bin et al. (2017) Normalization of compression-induced hemodynamics in patients responding to neoadjuvant chemotherapy monitored by dynamic tomographic optical breast imaging (DTOBI). Biomed Opt Express 8:555-569
Zimmermann, Bernhard B; Deng, Bin; Singh, Bhawana et al. (2017) Multimodal breast cancer imaging using coregistered dynamic diffuse optical tomography and digital breast tomosynthesis. J Biomed Opt 22:46008
Zimmermann, Bernhard B; Fang, Qianqian; Boas, David A et al. (2016) Frequency domain near-infrared multiwavelength imager design using high-speed, direct analog-to-digital conversion. J Biomed Opt 21:16010
Deng, Bin; Brooks, Dana H; Boas, David A et al. (2015) Characterization of structural-prior guided optical tomography using realistic breast models derived from dual-energy x-ray mammography. Biomed Opt Express 6:2366-79
Deng, Bin; Fradkin, Maxim; Rouet, Jean-Michel et al. (2015) Characterizing breast lesions through robust multimodal data fusion using independent diffuse optical and x-ray breast imaging. J Biomed Opt 20:80502
Fang, Qianqian; Selb, Juliette; Carp, Stefan A et al. (2011) Combined optical and X-ray tomosynthesis breast imaging. Radiology 258:89-97
Fang, Qianqian; Moore, Richard H; Kopans, Daniel B et al. (2010) Compositional-prior-guided image reconstruction algorithm for multi-modality imaging. Biomed Opt Express 1:223-235
Fang, Qianqian; Carp, Stefan A; Selb, Juliette et al. (2009) Combined optical imaging and mammography of the healthy breast: optical contrast derived from breast structure and compression. IEEE Trans Med Imaging 28:30-42
Fang, Qianqian; Boas, David A (2009) Monte Carlo simulation of photon migration in 3D turbid media accelerated by graphics processing units. Opt Express 17:20178-90
Carp, S A; Selb, J; Fang, Q et al. (2008) Dynamic functional and mechanical response of breast tissue to compression. Opt Express 16:16064-78

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