Device for optical coherence tomography
In certain embodiments, a device for optical coherence tomography (OCT) includes a signal detection device and a computer arrangement. The signal detection device is designed to detect an interference signal (G(ω)) for an object to be imaged in an optical frequency range (ω). The computer arrangement is designed to determine intermediate signals (G 1 ( k ), G 2 ( k )) in a spatial frequency range (k) from the intermediate interference signal (G(ω)), whereby each of the intermediate signals (G 1 ( k ), G 2 ( k )) is dispersion-compensated for a different depth (z 1 , z 2 ) of the object. A locally resolved image signal (FFT 1 , FFT 2 ) is determined for each of the intermediate signals (G 1 ( k ), G 2 ( k )) by applying a Fourier transformation to the particular intermediate signal (G 1 ( k ), G 2 ( k )). A tomography signal (G(z)) is determined from the image signals (FFT 1 , FFT 2 ).
1. A method for optical coherence tomography (OCT), comprising:
detecting, by a signal detection device, an interference signal (G(ω)) for an object to be imaged in an optical frequency range (ω);
calculating, by a computer arrangement, for each depth of a plurality of different depths (z 1 , z 2 ) of the object, association instructions (M 1 , M 2 ) that correspond to the particular depth (z 1 , z 2 ) and the dispersion caused by the object;
determining, by the computer arrangement, a plurality of intermediate signals (G 1 (k), G 2 (k)) in a spatial frequency range (k) from the interference signal (G(ω)) using the corresponding association instructions (M 1 , M 2 ), each of the intermediate signals (G 1 (k), G 2 (k)) is dispersion-compensated for the different depths (z 1 , z 2 ) of the object;
applying by the computer arrangement, a Fourier transformation to each intermediate signal (G 1 (k), G 2 (k)) to determine a locally resolved image signal (FFT 1 , FFT 2 ) for each of the intermediate signals (G 1 (k), G 2 (k)); and
determining, by the computer arrangement, a tomography signal (G(z)) from the image signals (FFT 1 , FFT 2 ).
2. The method according to claim 1 , further comprising:
calculating association instructions (M 1 , M 2 ) with a model of the object.
3. The method according to claims 1 and 2 , further comprising:
determining an intermediate signal ({hacek over (G)}(k)) for depth determination in a spatial frequency range (k) from the interference signal (G(ω)) using given association instructions (T) for depth determination;
applying a Fourier transformation (FFT T ) to the intermediate signal ({hacek over (G)}(k)) for depth determination to determine a locally resolved image signal ({hacek over (G)}(z)); and
detecting extreme points (E 1 , E 2 ) of the image signal ({hacek over (G)}(z)) to determine the different depths (z 1 , z 2 ) for the intermediate signals (G 1 (k), G 2 (k)).
4. The method according to claim 3 , further comprising:
calculating the association instructions (M 1 , M 2 ) on the basis of the positions (z 1 , z 2 ) of the detected extreme points (E 1 , E 2 ) of the image signal ({hacek over (G)}(z)) for depth determination.
5. The method according to claim 3 , further comprising:
calculating the association instructions (M 1 , M 2 ) on the basis of the mutual intervals (|z 2 -z 1 |) of the detected extreme points (E 1 , E 2 ) of the image signal ({hacek over (G)}(z)) for depth determination.
6. The method according to claim 3 , further comprising:
calculating the association instructions (M 1 , M 2 ) using one or more refraction indices that are characteristic for the object medium in areas up to the positions (z 1 , z 2 ) of the extreme points (E 1 , E 2 ).