IP Library Granted Patent US 10,856,751
Granted Patent B2
US 10,856,751 · App. 15/709,652 · Granted Dec 8, 2020

Blood-vessel recognition blood-flow measurement method

Inventors: Takeshi Watanabe (Tokyo, JP); Shintaro Takahashi (Tokyo, JP)
Assignee: OLYMPUS CORPORATION
A61B5/026A61B5/0261A61B5/0285A61B10/00A61B8/06G01S15/8979
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Quick Facts
Patent No.
US 10,856,751
App. No.
15/709,652
Granted
Dec 8, 2020
Kind
B2
Abstract

A blood-vessel recognition blood-flow measurement method including: obtaining a real-time Doppler spectrum by performing a Fourier transform on a temporal waveform of the intensity of scattered light of laser light in a living body; calculating a normalized real-time Doppler spectrum and a normalized zero spectrum; calculating a region spectrum from a subtracted spectrum that is calculated through subtraction of these calculated spectra; calculating a PS reference spectrum by subtracting, from the region spectrum, the maximum value of the region spectrum in a predetermined PS reference region; calculating an average frequency on the basis of a computational spectrum that is obtained by replacing an element of which the PS reference spectrum is negative with zero; and determining a blood flow velocity by comparing the calculated average frequency with a predetermined threshold.

Claims (21)

1. A blood-vessel recognition blood-flow measurement method comprising:

obtaining a real-time Doppler spectrum by performing a Fourier transform on a temporal waveform of an intensity of scattered light produced when laser light is radiated onto a living body;

setting, as a first frequency region, a frequency range higher than a frequency at which an intensity of the real-time Doppler spectrum becomes a same level as a noise floor intensity;

calculating a normalized real-time Doppler spectrum by normalizing the real-time Doppler spectrum with an average value of the real-time Doppler spectrum in the first frequency region;

calculating a normalized zero spectrum by normalizing a zero spectrum measured when laser light is radiated in a state in which a blood flow does not exist, with the average value of the zero spectrum in the first frequency region;

calculating a subtracted spectrum by subtracting the normalized zero spectrum from the normalized real-time Doppler spectrum;

setting, as a second frequency region, a frequency range in which a low-frequency noise can be removed;

calculating a region spectrum by removing, from the subtracted spectrum, a spectrum in a frequency region lower than the second frequency region;

setting, as a third frequency region, a frequency range including a spike noise in the region spectrum;

calculating a PS reference spectrum by subtracting, from the region spectrum, the maximum value of the region spectrum in the third frequency region;

obtaining a computational spectrum by replacing an element of which the PS reference spectrum is negative with zero;

calculating an average frequency based on the computational spectrum; and

determining a blood flow velocity according to the calculated average frequency.

2. A blood-vessel recognition blood-flow measurement method according to claim 1 , wherein, the determining of the blood flow velocity comprises determining that a blood vessel exists, in response to the average frequency being larger than a predetermined first threshold.

3. A blood-vessel recognition blood-flow measurement method according to claim 2 , wherein the determining of the blood flow velocity comprises determining that a blood vessel exists, in response to the average frequency being smaller than a predetermined second threshold that is larger than the first threshold.

4. A blood-vessel recognition blood-flow measurement method according to claim 1 , wherein the calculating of the average frequency comprises:

obtaining, in the second frequency region, frequency integral values of the computational spectrum and of a spectrum that is obtained by multiplying the computational spectrum by a frequency;

comparing a predetermined integral cut-off value with the frequency integral value of the computational spectrum; and

setting, as a result of the comparison, the average frequency based on the following expressions:

if I f >I fCUT ,ω ave =I ωf /I f ; and

if I f ≤I fCUT ,ω ave =0.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 20, 2017
From: WATANABE, TAKESHI; TAKAHASHI, SHINTARO
To: OLYMPUS CORPORATION
Reel/Frame 043635/0785 →
Continuity (2)
Continuation PCTJP2015059041 · Mar 25, 2015
Related Publication 20180008152A1 · Jan 11, 2018
Cited By (2)
US 12,352,778 US 12,629,044