Joint analysis of non-concurrent magnetic resonance imaging and diffuse optical tomography of breast cancer

We have developed a novel method for combining non-concurrent MR and DOT data, which integrates advanced multimodal registration and segmentation algorithms within a well-defined workflow. The method requires little user interaction, is computationally efficient for practical applications, and enables joint MR/DOT analysis. The method presents additional advantages: More flexibility than integrated MR/DOT imaging systems, The ability to independently develop a standalone DOT system without the stringent limitations imposed by the MRI device environment, Enhancement of sensitivity and specificity for breast tumor detection, Combined analysis of structural and functional data, Enhancement of DOT data reconstruction through the use of MR-derived a priori structural information. We have conducted an initial patient study which asks an important question: how can functional information on a tumor obtained from DOT data be combined with the anatomy of that tumor derived from MRI data? The study confirms that tumor areas in the patient breasts exhibit significantly higher total hemoglobin concentration (THC) than their surroundings. The results show significance in intra-patient THC variations, and justify the use of our normalized difference measure defined as the distance from the average THC inside the breast, to the average THC inside the tumor volume in terms of the THC standard deviation inside the breast. This method contributes to the long-term goal of enabling standardized direct comparison of MRI and DOT and facilitating validation of DOT imaging methods in clinical studies.

[1]  R. Cubeddu,et al.  Use of a nonlinear perturbation approach for in vivo breast lesion characterization by multiwavelength time-resolved optical mammography. , 2003, Optics express.

[2]  Stephen C. Cain,et al.  Projection-based image registration in the presence of fixed-pattern noise , 2001, IEEE Trans. Image Process..

[3]  E. Miller,et al.  Tomographic optical breast imaging guided by three-dimensional mammography. , 2003, Applied optics.

[4]  Albert C. S. Chung,et al.  Efficient 3 D-3 D Vascular Registration Based on Multiple Orthogonal 2 D Projections , .

[5]  B. Tromberg,et al.  Monitoring neoadjuvant chemotherapy in breast cancer using quantitative diffuse optical spectroscopy: a case study. , 2004, Journal of biomedical optics.

[6]  X. Intes Time-domain optical mammography SoftScan: initial results. , 2005, Academic radiology.

[7]  L. Fajardo,et al.  Near-infrared optical imaging of the breast with model-based reconstruction. , 2002, Academic radiology.

[8]  B. Pogue,et al.  Imaging breast adipose and fibroglandular tissue molecular signatures by using hybrid MRI-guided near-infrared spectral tomography. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[9]  K. T. Moesta,et al.  Time-domain scanning optical mammography: II. Optical properties and tissue parameters of 87 carcinomas , 2005, Physics in medicine and biology.

[10]  B. Pogue,et al.  Comparisons of three alternative breast modalities in a common phantom imaging experiment. , 2003, Medical physics.

[11]  Yaling Pei,et al.  Design and implementation of dynamic near-infrared optical tomographic imaging instrumentation for simultaneous dual-breast measurements. , 2005, Applied optics.

[12]  B. Pogue,et al.  Near-infrared (NIR) tomography breast image reconstruction with a priori structural information from MRI: algorithm development for reconstructing heterogeneities , 2003 .

[13]  K. T. Moesta,et al.  Time-domain scanning optical mammography: I. Recording and assessment of mammograms of 154 patients , 2005, Physics in medicine and biology.

[14]  V. Ntziachristos,et al.  Concurrent MRI and diffuse optical tomography of breast after indocyanine green enhancement. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[15]  Nassir Navab,et al.  A Novel Projection Based Approach for Medical Image Registration , 2006, WBIR.

[16]  D. Hill,et al.  Registration of MR and CT images for skull base surgery using point-like anatomical features. , 1991, The British journal of radiology.

[17]  S. Colak,et al.  Clinical optical tomography and NIR spectroscopy for breast cancer detection , 1999 .

[18]  Max A. Viergever,et al.  A survey of medical image registration , 1998, Medical Image Anal..

[19]  Paul A. Viola,et al.  Multi-modal volume registration by maximization of mutual information , 1996, Medical Image Anal..

[20]  E. Conant,et al.  Breast cancer detection based on incremental biochemical and physiological properties of breast cancers: a six-year, two-site study. , 2005, Academic radiology.

[21]  Gareth Funka-Lea,et al.  Multi-label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials , 2004, ECCV Workshops CVAMIA and MMBIA.

[22]  M. Schweiger,et al.  Diffuse optical tomography with spectral constraints and wavelength optimization. , 2005, Applied optics.

[23]  Sergio Fantini,et al.  Spatial second-derivative image processing: an application to optical mammography to enhance the detection of breast tumors. , 2003, Journal of biomedical optics.

[24]  G. J. Klein,et al.  Deformable registration of multi-modal data including rigid structures , 2002 .

[25]  B. Pogue,et al.  Quantitative hemoglobin tomography with diffuse near-infrared spectroscopy: pilot results in the breast. , 2001, Radiology.

[26]  Leo Grady,et al.  Multilabel random walker image segmentation using prior models , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[27]  V. Ntziachristos,et al.  Three-dimensional diffuse optical tomography in the parallel plane transmission geometry: evaluation of a hybrid frequency domain/continuous wave clinical system for breast imaging. , 2003, Medical physics.

[28]  Soren D. Konecky,et al.  Diffuse optical tomography of breast cancer during neoadjuvant chemotherapy: a case study with comparison to MRI. , 2005, Medical physics.

[29]  Alessandro Torricelli,et al.  Time-resolved optical mammography between 637 and 985 nm: clinical study on the detection and identification of breast lesions , 2005, Physics in medicine and biology.

[30]  Guy Marchal,et al.  Automated multi-modality image registration based on information theory , 1995 .

[31]  Albert C. S. Chung,et al.  Efficient 3D-3D Vascular Registration Based on Multiple Orthogonal 2D Projections , 2003, WBIR.

[32]  Bruce J Tromberg,et al.  Combined diffuse optical spectroscopy and contrast-enhanced magnetic resonance imaging for monitoring breast cancer neoadjuvant chemotherapy: a case study. , 2005, Journal of biomedical optics.

[33]  M. Huang,et al.  Utilizing optical tomography with ultrasound localization to image heterogeneous hemoglobin distribution in large breast cancers. , 2005, Neoplasia.

[34]  Nick Everdell,et al.  Optical tomography of the breast using a multi-channel time-resolved imager , 2005, Physics in medicine and biology.

[35]  B. Tromberg,et al.  In vivo absorption, scattering, and physiologic properties of 58 malignant breast tumors determined by broadband diffuse optical spectroscopy. , 2006, Journal of biomedical optics.

[36]  M. Schweiger Application of the finite element method in infrared image reconstruction of scattering media , 1994 .