Other

City College of New York

The Research Foundation

Bidyut B Das

Robert R Alfano

Feng Liu

Wei Cai

Melvin Lax

Yury Budansky

Guichen C Tang

Leming M Wang

Asima Pradhan

A method for imaging objects in highly scattering turbid media. According to one embodiment of the invention, the method involves using a plurality of intersecting source/detectors sets and time-resolving equipment to generate a plurality of time-resolved intensity curves for the diffusive component of light emergent from the medium. For each of the curves, the intensities at a plurality of times are then inputted into the following inverse reconstruction algorithm to form an image of the medium: ##EQU1## wherein W is a matrix relating output at source and detector positions r.sub.s and r.sub.d, at time t, to position r, .LAMBDA. is a regularization matrix, chosen for convenience to be diagonal, but selected in a way related to the ratio of the noise, &lt;nn&gt; to fluctuations in the absorption (or diffusion) X.sub.j that we are trying to determine:

Time-resolved diffusion tomographic 2D and 3D imaging in highly

A method for imaging objects in highly scattering turbid media. According to one embodiment of the invention, the method involves using a plurality of intersecting source/detectors sets and time-resolving equipment to generate a plurality of time-resolved intensity curves for the diffusive component of light emergent from the medium. For each of the curves, the intensities at a plurality of times are then inputted into the following inverse reconstruction algorithm to form an image of the medium:

Time-resolved diffusion tomographic imaging in highly scattering turbid

A method for determining if tissue is malignant as opposed to non-malignant (i.e., benign tumor tissue, benign tissue, or normal tissue). In one embodiment, the method comprises irradiating a human breast tissue sample with light at a wavelength of about 310 nm and measuring the time-resolved fluorescence emitted therefrom at about 340 nm. The time-resolved fluorescence profile is then compared to similar profiles obtained from known malignant and non-malignant human breast tissues. By fitting the profiles to the formula I(t)=A.sub.1 e.sup.(-t/.tau. 1.sup.) +A.sub.2 e.sup.(-t/.tau. 2.sup.), one can quantify the differences between tissues of various conditions. For example, non-malignant human breast tissues exhibit a slow component (.tau..sub.2) which is less than 1.6 ns whereas malignant human breast tissues exhibit a slow component (.tau..sub.2) which is greater than 1.6 ns. In addition, non-malignant human breast tissues exhibit a ratio of fast to slow amplitudes (A.sub.1 /A.sub.2) which is greater than 0.85 whereas malignant human breast tissues exhibit a ratio of fast to slow amplitudes (A.sub.1 /A.sub.2) which is less than 0.6. This technique can be used with different excitation and/or emission wavelengths, and can be applied to the detection of malignancies (or other abnormal states) in tissues other than human breast tissue.

Method for determining if tissue is malignant as opposed to

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Flushing, NY, United States of America

Bidyut B Das