Object information acquiring apparatus and object information acquiring method

• US 9,211,068 B2
• Filed: 05/23/2013
• Issued: 12/15/2015
• Est. Priority Date: 06/06/2012
• Status: Expired due to Fees

• Current Assignee: Canon Kabushiki Kaisha (Canon Inc.)
• Original Assignee: Canon Kabushiki Kaisha (Canon Inc.)
• Inventors: Furukawa, Yukio
• Primary Examiner(s): ROZANSKI, MICHAEL T
• Application Number:
  US13/900,906
• Publication Number:
  US 20130331680A1
• Time in Patent Office: 936 Days
• Field of Search: 600/407, 600/443, 600/437, 600/473, 600476-478, 736/02, 736/32, 736/55
• US Class Current: 1/1
• CPC Class Codes: A61B 2576/00 Medical imaging apparatus involving image processing or analysis A61B1/00009, A61B6/52 and A61B8/52 take precedence; image processing per se G06T; details of algorithms for analysing medical images G06T7/0012
• CPC Class Codes: A61B 5/0095 by applying light and detecting acoustic waves, i.e. photoacoustic measurements
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing

Abstract

Disclosed is an object information acquiring apparatus including: a receiver that includes a plurality of elements and converts an acoustic wave generated from an object irradiated with light into a received signal, and outputs the received signal in a time series; a normalizer that generates a normalized signal by normalizing the intensity of the received signal; and a processor that generates, from the normalized signal, first image data that indicates the distribution of property information inside the object.

Claims

1. An object information acquiring apparatus, comprising:

a receiver configured to convert an acoustic wave generated from an object irradiated with light into a received signal and output the received signal in a time series;

a normalizer configured to generate a Hilbert-transform signal by performing Hilbert-transform on the received signal and generate a normalized signal by calculating a ratio between an intensity of the received signal and an absolute value of a complex signal which represents the received signal as real part and the Hilbert-transform signal as imaginary part; and

a processor configured to generate, based on the normalized signal, first image data.

2. The object information acquiring apparatus according to claim 1, wherein said normalizer is configured to generate the normalized signal by dividing the intensity of the received signal by the absolute value of the complex signal.

3. The object information acquiring apparatus according to claim 1, wherein said processor is configured to generate the first image data by applying an image generation algorithm to the normalized signal.

4. The object information acquiring apparatus according to claim 1, wherein said processor is configured to:

generate, based on the received signal, second image data that indicates a distribution of property information inside the object by applying an image generation algorithm to the received signal;

generate a coefficient for correcting image data based on the first image data; and

generate third image data by correcting the second image data by means of the coefficient.

5. The object information acquiring apparatus according to claim 4, wherein said processor is configured to determine a maximum value of the first image data by comparing a value in each unit area of a region represented by the first image data and to generates the coefficient by dividing the value in each unit area of the first image data by the maximum value.

6. The object information acquiring apparatus according to claim 5, wherein said processor is configured to generate the coefficient by dividing the value in the each unit area of the first image data by the maximum value and then raising a result of the division to the nth power (n being is a real number equal to 0 or greater).

7. The object information acquiring apparatus according to claim 4, wherein said processor is configured to generate the coefficient in a unit area of a region represented by the first image data as 1 when a value in the unit area of the first image data is a predetermined threshold or more, and to generate the coefficient in the unit area of the first image data as 0 when the value in the unit area of the first image data is less than the predetermined threshold.

8. The object information acquiring apparatus according to claim 4, wherein said processor is configured to generate the third image data by multiplying the second image data by the coefficient.

9. The object information acquiring apparatus according to claim 1, further comprising an A/D convertor configured to convert the received signal as an analog signal into a digital signal,

wherein said normalizer is configured to generate a frequency signal by performing discrete Fourier transform on the digital signal, to generate a corrected frequency signal by multiplying a value corresponding to the positive frequency of the frequency signal by −

i and multiplying a value corresponding to the negative frequency of the frequency signal by i, and to generate the Hilbert-transform signal by performing inverse Fourier transform on the corrected frequency signal.

10. The object information acquiring apparatus according to claim 1, wherein said receiver includes a plurality of receiver elements.

11. The object information acquiring apparatus according to claim 1, further comprising a parallel plate configured to hold the object,

wherein said receiver includes a plurality of receiver elements arranged on said parallel plate.

12. An object information acquiring method, comprising the steps of:

generating a Hilbert-transform signal by performing Hilbert-transform on a received signal in a time series obtained by receiving an acoustic wave generated from an object irradiated with light;

generating a normalized signal by calculating a ratio between an intensity of the received signal and an absolute value of a complex signal which represents the received signal as real part and the Hilbert-transform signal as imaginary part; and

generating, based on the normalized signal, first image data.

13. An object information acquiring apparatus, comprising:

a receiver configured to convert an acoustic wave generated from an object irradiated with light into a received signal and output the received signal in a time series;

a normalizer configured to generate an envelope signal of the received signal and generate a normalized signal by calculating a ratio between the received signal and the envelope signal; and

a processor configured to generate, based on the normalized signal, first image data.

14. The object information acquiring apparatus according to claim 13, wherein said processor is configured to:

generate, based on the received signal, second image data; and

generate third image data by correcting the second image data using the first image data.

15. The object information acquiring apparatus according to claim 13, wherein said processor is configured to cause a display unit to display the first image data.

16. The object information acquiring apparatus according to claim 13, further comprising an A/D convertor configured to convert the received signal as an analog signal into a digital signal,

wherein said receiver includes a plurality of receiver elements, and

wherein said processor is configured to generate the first image data by applying an image generation algorithm to the normalized signal as the digital signal.

17. The object information acquiring apparatus according to claim 13, further comprising a paraellel plate configured to hold the object and an A/D convertor configured to convert the received signal as an analog signal into a digital signal,

wherein said receiver includes a plurality of receiver elements arranged on said parallel plate, and wherein said processor is configured to generate the first image data by applying an image generation algorithm to the normalized signal as the digital signal.

18. An object information acquiring method, comprising:

generating an envelope signal of a received signal obtained by receiving an acoustic wave generated from an object irradiated with light;

generating a normalized signal by calculating a ratio between the received signal and the envelope signal; and

generating, based on the normalized signal, first image data.