Abstract: Methods and systems for in vivo classification of tissue are disclosed. The tissue is irradiated with light from multiple light sources and light scattered and fluoresced from the tissue is received. Distinct emissions of the sample are identified from the received light. An excitation-emission matrix is generated (1002). On-diagonal and off-diagonal components of the excitation-emission matrix are identified (1004, 1006, 1008). Spectroscopic measures are derived from the excitation-emission matrix (1014), and are compared to a database of known spectra (1016) permitting the tissue to be classified as benign or malignant (1018). An optical biopsy needle or an optical probe may be used to contemporaneously classify and sample tissue for pathological confirmation of diagnosis.

Abstract: Methods and systems for in vivo classification of tissue are disclosed. The tissue is irradiated with light from multiple light sources and light scattered and fluoresced from the tissue is received. Distinct emissions of the sample are identified from the received light. An excitation-emission matrix is generated (1002). On-diagonal and off-diagonal components of the excitation-emission matrix are identified (1004, 1006, 1008). Spectroscopic measures are derived from the excitation-emission matrix (1014), and are compared to a database of known spectra (1016) permitting the tissue to be classified as benign or malignant (1018). An optical biopsy needle or an optical probe may be used to contemporaneously classify and sample tissue for pathological confirmation of diagnosis.

Abstract: A system, method, and storage device storing computer executable instructions for use in tissue analysis and therapy. An optical probe array has at least two or more optical probes for illuminating tissue and generates light fluorescence and/or diffuse reflectance signals corresponding to the illuminated tissue. One or more ultrasound, CT and MRI imaging guidance systems identify the position of the optical probes relative to the tissue. The imaging guidance system can also be a fusion of an MRI or CT image provided by the MRI or CT imaging guidance system and an ultrasound image provided by the ultrasound imaging guidance system. An imaging system generates a three-dimensional image of the tissue based on the generated light signals and the identified position of the optical probes.

Abstract: A system, method, and storage device storing computer executable instructions for use in tissue analysis and therapy. An optical probe array has at least two or more optical probes for illuminating tissue and generates light fluorescence and/or diffuse reflectance signals corresponding to the illuminated tissue. One or more ultrasound, CT and MRI imaging guidance systems identify the position of the optical probes relative to the tissue. The imaging guidance system can also be a fusion of an MRI or CT image provided by the MRI or CT imaging guidance system and an ultrasound image provided by the ultrasound imaging guidance system. An imaging system generates a three-dimensional image of the tissue based on the generated light signals and the identified position of the optical probes.

Abstract: A system and method for use in tissue analysis and therapy. An optical probe array has at least two or more optical probes for illuminating tissue and generates light fluorescence and/or diffuse reflectance signals corresponding to the illuminated tissue. One or more ultrasound, CT and MRI imaging guidance systems identify the position of the optical probes relative to the tissue. The imaging guidance system can also be a fusion of an MRI or CT image provided by the MRI or CT imaging guidance system and an ultrasound image provided by the ultrasound imaging guidance system. An imaging system generates a three-dimensional image of the tissue based on the generated light signals and the identified position of the optical probes.

Abstract: Methods and systems for in vivo classification of tissue are disclosed. The tissue is irradiated with light from multiple light sources and light scattered and fluoresced from the tissue is received. Distinct emissions of the sample are identified from the received light. An excitation emission matrix is generated (1002). On-diagonal and off diagonal components of the excitation emission matrix are identified (1004, 1006, 1008). Spectroscopic measures are derived from the excitation emission matrix (1014), and are compared to a database of known spectra (1016) permitting the tissue to be classified as benign or malignant (1018). An optical biopsy needle or an optical probe may be used to contemporaneously classify and sample tissue for pathological confirmation of diagnosis.

Abstract: Methods and systems for in vivo classification of tissue are disclosed. The tissue is irradiated with light from multiple light sources and light scattered and fluoresced from the tissue is received. Distinct emissions of the sample are identified from the received light. An excitation emission matrix is generated (1002). On-diagonal and off diagonal components of the excitation emission matrix are identified (1004, 1006, 1008). Spectroscopic measures are derived from the excitation emission matrix (1014), and are compared to a database of known spectra (1016) permitting the tissue to be classified as benign or malignant (1018). An optical biopsy needle or an optical probe may be used to contemporaneously classify and sample tissue for pathological confirmation of diagnosis.