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Proceedings Paper

Incorporation of magnetic resonance water-fat separation into MR-guided near-infrared spectroscopy in the breast
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Paper Abstract

Magnetic resonance (MR) guided diffuse optical spectroscopy (DOS) has shown promise in several case studies in aiding the characterization of breast lesions[1, 2]. It has been proposed that the increased quantification and resolution with a priori structural guidance yields higher diagnostic value in characterizing tumors. To date, these systems have merged MR anatomical recovery with optical contrast recovery. However, the MR has a wealth of spectral and functional data that may aid in further improving lesion characterization by appending both new and overlapping physiological information to optical methods. It has been well documented that spectral recovery of water and lipids is inaccurate with few wavelengths. Yet, recovery of these chromophores is important both because of the possible importance of these as indicators of breast cancer, adema, and inflammation. In addition, crosstalk between water and oxyhemoglobin may lead to erroneous tissue properties, which may affect lesion diagnosis. The use of multiple MR sequences with DOS enables the separation of water and lipids via MRI, and improves recovery of tissue oxygenation and hemoglobin content. However, in most cases, MRI is not a quantitative device; this paper investigates the best reconstruction methods to incorporate this data into the optical reconstruction for quantitatively accurate chromophore recovery in the presence of imperfect MR water/fat separation. Specifically, it investigates whether incorporating water/fat information directly or through a maximum likelihood algorithm yields the optimal solution both in terms of reduced crosstalk between oxyhemoglobin and water, and compares results to having no priori knowledge of water and fat.

Paper Details

Date Published: 20 February 2009
PDF: 8 pages
Proc. SPIE 7171, Multimodal Biomedical Imaging IV, 717105 (20 February 2009); doi: 10.1117/12.808916
Show Author Affiliations
C. M. Carpenter, Dartmouth College (United States)
B. W. Pogue, Dartmouth College (United States)
K. D. Paulsen, Dartmouth College (United States)

Published in SPIE Proceedings Vol. 7171:
Multimodal Biomedical Imaging IV
Fred S. Azar; Xavier Intes, Editor(s)

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