WO2017175470A1 - スペックル測定装置およびスペックル測定方法 - Google Patents
スペックル測定装置およびスペックル測定方法 Download PDFInfo
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Definitions
- This technology relates to a speckle measuring device and a speckle measuring method.
- a speckle pattern When an object having an inhomogeneous structure is irradiated with coherent light such as laser light and the scattered light reflected from the object is observed with an imaging unit, a granular pattern called a speckle pattern appears.
- a laser beam is irradiated to a non-moving object, the speckle pattern does not change and the light intensity does not change, but for a moving object, this speckle pattern depends on the moving speed of the object. fluctuate.
- the speed and size of moving particles can be determined by examining the degree of temporal change in speckle strength. This principle is applied to, for example, measurement of biological parameters such as blood flow velocity of red blood cells in biological measurement.
- Patent Document 1 discloses a technique for estimating a motion parameter of a particle group by measuring a time series change at a specific point.
- Patent Document 2 discloses that an imaging unit captures a speckle image and measures a vibration phenomenon on a rough surface.
- an object of the present technology is to provide a speckle measuring device and a speckle measuring method capable of improving accuracy such as measurement of a flow velocity targeting a granule such as red blood cells. .
- a speckle measurement device includes: An imaging unit that captures, as a speckle image, an image of scattered light that returns from the measurement target when the measurement target is irradiated with coherent light; A measurement region corresponding to the same part of the measurement target of a plurality of speckle images continuously captured in time by the imaging unit is set as a movement amount of a relative positional relationship between the measurement target and the imaging unit. And a control unit to be determined in consideration.
- the movement of the particles such as red blood cells is canceled by canceling the component of the relative movement between the measurement target and the imaging unit due to the movement of the body or the vibration of the imaging unit. It is possible to extract only speckle components resulting from the measurement object. Thereby, the accuracy of speckle measurement can be improved.
- the control unit detects a movement amount of a relative positional relationship between the measurement object and the imaging unit by comparing a plurality of speckle images sequentially captured by the imaging unit in time, and detects this Based on the amount of movement, a plurality of speckle images may be configured to determine a measurement region corresponding to the same part of the measurement target.
- control unit divides the coordinate space of the speckle image captured by the imaging unit into a plurality of divided regions having a predetermined size, and determines the divided region having the smallest regional noise component as the measurement region.
- the region having the highest coincidence with the speckle image of the measurement region is searched from the speckle image at the next time, and the searched region is set as the measurement region at the next time. It may be a thing.
- control unit may be configured to determine, as the local noise, an image signal whose speckle response does not change linearly with respect to a change in the intensity of coherent light.
- control unit may be configured to exclude from the measurement region a divided region in which any one of an average value, a maximum value, and a median value of luminance differences of all speckles is equal to or less than a threshold value.
- the speckle measurement method is Irradiate the object to be measured with coherent light, Taking an image of scattered light returning from the measurement object as a speckle image, In the control unit, a plurality of the speckle images captured continuously in time, a measurement region corresponding to the same part of the measurement target, and a movement amount of a relative positional relationship between the measurement target and the imaging unit. Judgment is made with consideration.
- FIG. 1 is a block diagram illustrating a configuration of a speckle measurement device 100 according to a first embodiment of the present technology.
- the speckle measuring device 100 of 1st Embodiment it is a figure which shows the whole speckle image It0 and measurement area
- the speckle measurement apparatus 100 according to the first embodiment the positional relationship between the entire speckle image It0 imaged at the time t0 by the imaging unit 4 and the entire speckle image It1 imaged at the next time t1, and this It is a figure which shows measurement area
- the speckle measurement apparatus 100A of the second embodiment it is a diagram showing the entire speckle image It0 imaged at time t0 and the divided areas D1-D16 set thereto.
- the positional relationship between the entire speckle image It0 imaged at time t0 and the entire speckle image It1 imaged at the next time t1 and this positional relationship are also obtained. It is a figure which shows measurement area
- a measurement object 2 such as red blood cells flowing through a living body is irradiated with coherent light 1 a such as laser light from a light source 1, and reflected scattered light 3 is reflected by an imaging unit 4.
- coherent light 1 a such as laser light from a light source 1
- reflected scattered light 3 is reflected by an imaging unit 4.
- a speckle measuring apparatus that analyzes a speckle image obtained by imaging and measures a blood flow rate and the like will be described.
- the speckle measurement device improves speckle measurement accuracy by excluding the component of the relative positional relationship between the measurement object 2 and the imaging unit 4 from the speckle measurement result. It aims to plan.
- the speckle measuring apparatus includes: An imaging unit 4 that captures a speckle image of the scattered light 3 returned from the measurement object 2 when the measurement object 2 is irradiated with the coherent light 1a; The measurement region corresponding to the same part of the measurement target 2 of a plurality of speckle images continuously captured in time by the imaging unit 4 is taken into account the movement amount of the relative positional relationship between the measurement target 2 and the imaging unit 4. And an arithmetic processing circuit which is a control unit to be determined.
- the arithmetic processing circuit compares a plurality of speckle images continuously captured in time by the imaging unit 4 and moves the relative positional relationship between the measurement object 2 and the imaging unit 4. And a measurement region corresponding to the same part of the measurement object 2 of a plurality of speckle images is determined based on the detected movement amount.
- the speckle measuring device of the second embodiment is The arithmetic processing circuit divides the speckle image picked up by the image pickup unit 4 into a plurality of divided regions of a predetermined size, determines a divided region having the smallest regional noise component as a measurement region, and speckles in the measurement region One or a plurality of divided areas having a relatively low degree of coincidence with the image are searched from the speckle image at the next time, and the searched area is determined as the measurement area of the speckle image at the next time It is comprised.
- FIG. 2 is a block diagram illustrating a configuration of the speckle measurement apparatus 100 according to the first embodiment.
- the speckle measuring apparatus 100 receives a speckle image by receiving a light source 1 such as a laser light source that irradiates laser light to the measuring object 2 as coherent light and the scattered light reflected by the measuring object 2.
- a speckle measurement system 10 that measures, for example, blood flow velocity for red blood cells from a plurality of speckle images obtained continuously in time.
- the speckle measurement system 10 includes a charge coupled device (CCD) and a complementary (CMOS).
- An imaging unit 4 such as a metal oxide semiconductor), an arithmetic processing circuit 6, and a memory 7 are provided.
- the arithmetic processing circuit 6 and the memory 7 may be composed of one or more computers 5.
- the imaging unit 4 is connected to the bus 9 via the interface 8.
- the computer 5 may be connected to the imaging unit 4 through a network. Further, a configuration may be adopted in which processing for speckle measurement is performed in parallel by a plurality of computers.
- the arithmetic processing circuit 6 functions as a movement detection unit 61, a measurement area calculation unit 62, a tracking signal generation unit 63, a time series signal processing unit 64, and the like according to a program stored in the memory 7 or the like.
- the memory 7 stores a plurality of speckle images taken in time by the imaging unit 4.
- the movement detection unit 61 detects the movement of the relative positional relationship between the measurement object 2 and the imaging unit 4. More specifically, the movement detection unit 61 repeatedly shifts the positional relationship between two speckle images stored in the memory 7 in time with a predetermined unit such as a pixel, The distance between the two when the maximum matching is obtained by matching each other is calculated as the amount of movement of the relative positional relationship between the measurement object 2 and the imaging unit 4. Alternatively, in order to further improve the accuracy, matching may be performed by shifting the positional relationship between the two speckle images in units of subpixels obtained by further dividing the pixel.
- the speckle image of coherent light scattered by a fixed structure such as a skin tissue is not significantly changed in the two speckle images continuous in time. Therefore, if the movement of the relative positional relationship between two speckle images that are continuous in time is known, the measurement region corresponding to the same part of the measurement object 2 of the two speckle images can be calculated. .
- the measurement region calculation unit 62 first detects the first of the two speckle images based on the movement amount of the relative positional relationship between the two temporally continuous speckle images detected by the movement detection unit 61. It is calculated where in the speckle image at the next time the measurement region set for the speckle image at the current time corresponds.
- an area of a predetermined size in the vertical and horizontal directions in the central portion of the speckle image at the first time is initially set as the measurement area.
- the measurement region calculation unit 62 can calculate the measurement area of the speckle image at the next time from the amount of movement detected by the movement detector 61.
- the tracking signal generation unit 63 generates an evaluation value such as an average value of each pixel value of the measurement region determined by the measurement region calculation unit 62 as a speckle measurement signal.
- the time-series signal processing unit 64 processes the signal generated by the tracking signal generation unit 63 to calculate the speed and particle size of particles such as red blood cells.
- the time-series signal processing unit 64 may perform measurement of red blood cell velocity by a laser Doppler method, estimation of a particle size by DLS (dynamic light scattering method), or the like.
- FIG. 3 is a diagram illustrating the entire speckle image It0 and the measurement region At0 captured by the imaging unit 4 at a certain time t0.
- an area having a predetermined vertical and horizontal size at the center of the speckle image I is preset as the initial measurement area At0.
- the relative positional relationship between the measurement object 2 and the imaging unit 4 is unknown in the direction of movement, it is preferable to provide the measurement region At0 at the center of the speckle image as described above.
- symbol S in FIG. 3 has shown the speckle corresponding to erythrocytes, and actually one speckle is one spot pattern which repeats blinking with time.
- FIG. 4 is calculated based on the positional relationship between the entire speckle image It0 captured at time t0 by the imaging unit 4 and the entire speckle image It1 captured at the next time t1, and based on this positional relationship. It is a figure which shows measurement area
- matching is performed while repeatedly shifting the speckle image It0 at time t0 and the speckle image It1 at time t1 with respect to each other in units of pixels.
- the distance in the x1 and y-axis directions is y1.
- the measurement area calculation unit 62 determines, in the speckle image It1 at time t1, the area of the same part as the part of the measurement object 2 corresponding to the measurement area At0 at time t0 as the measurement area at time t1. Calculate as At1. That is, the measurement area At1 in the speckle image It1 at time t1 is moved from the position Pt0 of the measurement area At0 at the previous time t0 in the coordinate space of the speckle image by the detected movement amount.
- the tracking signal generation unit 63 generates an evaluation value such as an average value of each pixel value in the measurement region at each time as a speckle measurement signal and outputs it to the time series signal processing unit 64. Then, the time-series signal processing unit 64 processes the speckle measurement signal at each time, and calculates the speed and particle size of the particles such as red blood cells.
- the speckle measurement apparatus 100 As described above, in the speckle measurement apparatus 100 according to the present embodiment, components of relative movement between the measurement target 2 and the imaging unit 4 due to body movement, vibration of the imaging unit 4 and the like are canceled, and Only speckle components resulting from the movement of the particles can be extracted. Thereby, the accuracy of speckle measurement can be improved.
- FIG. 5 is a block diagram illustrating a configuration of a speckle measurement apparatus 100A according to the second embodiment of the present technology.
- the arithmetic processing circuit 6A includes an area generation unit 65A, an area quality determination unit 66A, a measurement area calculation unit 62A, a tracking signal generation unit 63A, and a time series signal processing unit 64A.
- the area generation unit 65A divides the entire speckle image captured by the imaging unit 4 into a plurality of divided areas having a predetermined size.
- the size of the divided area is set to a value at least including a plurality of speckle images.
- the positional relationship between the speckle particles of a plurality of particles existing in one divided region is not affected by the movement of the relative positional relationship between the measurement object 2 and the imaging unit 4.
- the size of the divided area is set such that there are a plurality of speckle particles, the fluctuation of the speckle image due to the movement of the relative positional relationship between the measurement object 2 and the imaging unit 4, and the particles This is necessary for discriminating the fluctuation of the speckle image caused by the movement of the image.
- the area quality determination unit 66A evaluates the quality of each divided area of the speckle image as a measurement area. For example, there may be various regional noise factors including external light in the region of the measurement object 2 corresponding to the entire speckle image. Here, the regional noise is different from the overall movement of the speckle image due to the relative movement between the measurement object 2 and the imaging unit 4 due to the movement of the body or the vibration of the imaging unit 4.
- the region quality determination unit 66A evaluates the quality of each divided region of the speckle image as the measurement region, the region where the response of the speckle does not change linearly with respect to the change in the intensity of the laser light, all speckles The area where the average value or the maximum value of the brightness difference of It is determined as a region where regional noise exists. That is, the area quality determination unit 66A determines such a divided area that has as little area noise as possible as a high-quality measurement area.
- the measurement region calculation unit 62A shifts the search window having the same size as the divided region in the speckle image of the measurement region determined by the region quality determination unit 66A and the speckle image at the next time by a predetermined unit such as a pixel. Perform matching while repeating.
- the movement detection unit 61 determines the search window in which the maximum degree of coincidence is obtained as the speckle image measurement area at the next time.
- the tracking signal generation unit 63A calculates, for example, an average value of each pixel value in the measurement region determined by the measurement region calculation unit 62A, and outputs it as a speckle measurement signal.
- the time-series signal processing unit 64A processes the signal generated by the signal generation unit to calculate the speed and particle size of particles such as red blood cells.
- the time-series signal processing unit 64A may perform measurement of red blood cell velocity by a laser Doppler method, estimation of a particle size by DLS (dynamic light scattering method), or the like.
- FIG. 6 is a diagram showing the entire speckle image It0 imaged at a certain time t0 by the imaging unit 4 and the divided areas D1-D16 set thereto.
- a total of 16 divided areas D1-D16 of 4 ⁇ 4 are set in the vertical and horizontal directions as initial values of the divided areas.
- white circles indicate speckles corresponding to red blood cells
- black circles indicate speckles due to local noise other than red blood cells.
- the area quality determination unit 66A evaluates the quality as a measurement area of the speckle image for such 16 divided areas D1-D16, and determines a plurality of divided areas having high quality as measurement areas.
- the divided region D10 is determined as the divided region with the highest quality, and this divided region D10 is determined as the measurement region At0 at time t0.
- FIG. 7 shows the positional relationship between the entire speckle image It0 imaged at time t0 and the entire speckle image It1 imaged at the next time t1, and the next time t1 calculated based on this positional relationship. It is a figure which shows measurement area
- the measurement area calculation unit 62A sets a search window W having the same size as that of one divided area in the speckle image at the next time t1 with respect to the speckle image of the measurement area At0 at the time t0. Speckle images at each time are matched while repeating shifting to a predetermined distance unit. Then, the measurement region calculation unit 62A determines the region of the search window W when the maximum degree of coincidence is obtained as the measurement region At1 at the next time t1. As a result, it is possible to calculate a high-quality measurement area A that corresponds to the same part of the measurement object 2 and has few noise components in the two speckle images that are continuously captured by the imaging unit 4 in time.
- a speckle measurement signal is generated by the tracking signal generation unit 63A from each pixel value in the measurement region at each time and is output to the time-series signal processing unit 64A.
- the signal for speckle measurement at the time is processed to calculate the speed and particle size of particles such as red blood cells.
- the region quality determination unit 66A outputs a plurality of regions, the above-described processing is executed by the number of regions to calculate measurement regions. By averaging the numerical values such as speed and particle size calculated from a plurality of regions, for example, speckle measurement with higher accuracy becomes possible.
- the speckle measurement apparatus 100A also cancels the component of the relative movement between the measurement target 2 and the imaging unit 4 due to body movement, vibration of the imaging unit 4, and the like, and the red blood cells and the like. It is possible to extract only the speckle component resulting from the movement of the particles. Thereby, the accuracy of speckle measurement can be improved. In addition, since a region having a small local noise component is selected as the measurement region, the accuracy can be further improved.
- the speckle measurement apparatuses 100 and 100A that directly irradiate the measurement target 2 with laser light and directly capture the image of scattered light returning from the measurement target 2 with the imaging unit 4 have been described.
- the present disclosure can also be applied to a speckle measurement apparatus 100A that captures an image of scattered light returning from the measurement object 2 by the imaging unit 4 via a lens.
- the relative positional relationship between the measurement object 2 and the imaging unit 4 is obtained by comparing the images of the two measurement objects 2 that are continuously captured. Motion can be detected.
- the present technology can be configured as follows. (1) An imaging unit that captures, as a speckle image, an image of scattered light that returns from the measurement target when the measurement target is irradiated with coherent light; A measurement region corresponding to the same part of the measurement target of a plurality of speckle images continuously captured in time by the imaging unit is set as a movement amount of a relative positional relationship between the measurement target and the imaging unit. A speckle measuring device comprising a control unit that takes into account determination.
- the control unit detects a movement amount of a relative positional relationship between the measurement object and the imaging unit by comparing a plurality of speckle images sequentially captured by the imaging unit in time, and detects this
- a speckle measurement device configured to determine a measurement region corresponding to the same part of the measurement target of a plurality of speckle images based on the moved amount.
- the control unit divides the coordinate space of the speckle image captured by the imaging unit into a plurality of divided regions of a predetermined size, determines the divided region with the smallest regional noise component as the measurement region, A speckle configured to search a speckle image at the next time for a region having the highest degree of coincidence with the speckle image of the measurement region, and to set the searched region as the measurement region at the next time measuring device
- the speckle measuring device configured to determine, as the local noise, an image signal that does not change linearly with respect to a change in the intensity of coherent light.
- the control unit is configured to exclude, from the measurement region, a divided region in which any one of an average value, a maximum value, and a median value of brightness differences in brightness of all speckles existing is a threshold value or less. apparatus.
- the control unit detects a movement amount of a relative positional relationship between the measurement object and the imaging unit by comparing a plurality of speckle images sequentially captured by the imaging unit in time, and detects this A speckle measurement method for determining a measurement region corresponding to the same part of the measurement target of a plurality of speckle images based on the moved amount.
- the speckle measuring method of (7) above The control unit divides the coordinate space of the speckle image captured by the imaging unit into a plurality of divided regions of a predetermined size, determines the divided region with the smallest regional noise component as the measurement region, A speckle measurement method of searching for a region having the highest degree of coincidence with a speckle image in a measurement region from a speckle image at the next time and using the searched region as the measurement region at the next time
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Abstract
Description
例えば、特許文献1には、特定の点での時間系列変化を測定して、粒子群の運動パラメータを推定する技術が開示される。
特許文献2には、撮像部にて、スペックル像を撮像して、粗面の振動現象を測定することが開示される。
測定対象にコヒーレント光を照射したときに前記測定対象から戻ってくる散乱光の像をスペックル像として撮像する撮像部と、
前記撮像部により時間的に連続して撮像された複数の前記スペックル像の、前記測定対象の同一部位にあたる測定領域を、前記測定対象と前記撮像部との相対的な位置関係の移動量を加味して判定する制御部とを具備する。
判定するように構成されたものであってよい。
測定対象にコヒーレント光を照射し、
前記測定対象から戻ってくる散乱光の像をスペックル像として撮像し、
制御部にて、時間的に連続して撮像された複数の前記スペックル像の、前記測定対象の同一部位にあたる測定領域を、前記測定対象と撮像部との相対的な位置関係の移動量を加味して判定する。
<第1の実施形態>
[概要]
本明細書では、例えば、図1に示すように、光源1からのレーザー光などのコヒーレント光1aを、生体を流れる赤血球などの測定対象2に照射し、反射した散乱光3を撮像部4で撮像することによって得たスペックル像を分析して血流速などを測定するスペックル測定装置について説明する。
測定対象2にコヒーレント光1aを照射したときに測定対象2から戻ってくる散乱光3のスペックル像を撮像する撮像部4と、
撮像部4により時間的に連続して撮像された複数のスペックル像の、測定対象2の同一部位にあたる測定領域を、測定対象2と撮像部4との相対的な位置関係の移動量を加味して判定する制御部である演算処理回路とを具備するものである。
演算処理回路が、撮像部4により撮像されたスペックル像を所定サイズの複数の分割領域に区分し、領域的なノイズ成分が最も少ない分割領域を測定領域として決定し、この測定領域のスペックル像と一致度が相対的に少ない一つあるいは複数の分割領域を次の時刻のスペックル像の中から探索して、探索された領域を次の時刻のスペックル像の測定領域として判定するように構成されるものである。
以下、本技術にかかる第1の実施形態のスペックル測定装置について詳細に説明する。
同図に示すように、このスペックル測定装置100は、測定対象2にコヒーレント光として例えばレーザー光を照射するレーザー光源などの光源1と、測定対象2で反射した散乱光を受けてスペックル像を生成し、時間的に連続して得られた複数のスペックル像から例えば赤血球を対象とした血流速の測定などを行うスペックル測定系10とを有する。
Metal Oxide Semiconductor)などの撮像部4と、演算処理回路6と、メモリー7とを備える。演算処理回路6とメモリー7は1以上のコンピュータ5で構成されてもよい。撮像部4は、インタフェース8を介してバス9に接続される。
成を採用してもよい。
次に、本実施形態のスペックル測定装置100の動作を説明する。
図3は、撮像部4により、ある時刻t0に撮像された全体のスペックル像It0と測定領域At0を示す図である。
本実施形態では、スペックル像Iの中央部の縦横所定サイズの領域が初期の測定領域At0として予め設定されている。測定対象2と撮像部4との相対的な位置関係が動きの方向が未知である場合には、このようにスペックル像の中央部に測定領域At0を設けることが好ましい。なお、図3において符号Sとして示されるものは、赤血球に対応するスペックルを示しており、実際には1つのスペックルは時間により明滅を繰り返す1つの斑点模様である。
この例では、時刻t0のスペックル像It0と時刻t1のスペックル像It1とを互いにピクセル単位でずらすことを繰り返しながらマッチングをとり、最大の一致度が得られる両者間のx軸方向の距離がx1、y軸方向の距離がy1である場合を示している。
以下、本技術にかかる第2の実施形態のスペックル測定装置100Aについて詳細に説明する。
図5は、本技術にかかる第2の実施形態のスペックル測定装置100Aの構成を示すブロック図である。
同図に示すように、このスペックル測定装置100Aにおいて、演算処理回路6Aは、領域生成部65A、領域品質判定部66A、測定領域算出部62A、追尾信号生成部63Aおよび時系列信号処理部64Aを有する。
領域的なノイズが存在する領域として判定する。すなわち、領域品質判定部66Aは、このような領域的なノイズが可及的に少ない分割領域を高品質の測定領域として判定する。
次に、本実施形態のスペックル測定装置100Aの動作を説明する。
図6は、撮像部4により、ある時刻t0に撮像された全体のスペックル像It0と、これに設定された分割領域D1-D16を示す図である。
本実施形態では、分割領域の初期値として、縦横に例えば4×4の計16個の分割領域D1-D16が設定される。
図6において、白い丸は赤血球に対応するスペックルを示し、黒い丸は赤血球以外の局所的なノイズによるスペックルを示している。
これにより、撮像部4により時間的に連続して撮像された2つのスペックル像の、測定対象2の同一部位にあたりかつノイズ成分が少ない高品質の測定領域Aを算出することができる。
領域品質判定部66Aが複数の領域を出力する場合は、前述した処理を領域の数だけ実行し、測定領域を算出する。複数の領域から算出された速度や粒径などの数値を、例えば
平均することにより、より精度の高いスペックル測定が可能になる。
以上説明した各実施形態では、測定対象2にレーザー光を照射して測定対象2から戻ってくる散乱光の像を撮像部4にて直接撮像するスペックル測定装置100、100Aについて説明したが、本開示は、測定対象2から戻ってくる散乱光の像をレンズを介して撮像部4にて撮像するスペックル測定装置100Aにも適用することができる。
(1)
測定対象にコヒーレント光を照射したときに前記測定対象から戻ってくる散乱光の像をスペックル像として撮像する撮像部と、
前記撮像部により時間的に連続して撮像された複数の前記スペックル像の、前記測定対象の同一部位にあたる測定領域を、前記測定対象と前記撮像部との相対的な位置関係の移動量を加味して判定する制御部とを具備する
スペックル測定装置。
上記(1)のスペックル測定装置であって、
前記制御部は、前記撮像部により時間的に連続して撮像された複数のスペックル像を比較して前記測定対象と前記撮像部との相対的な位置関係の移動量を検出し、この検出された移動量をもとに、複数のスペックル像の、前記測定対象の同一部位にあたる測定領域を判定するように構成された
スペックル測定装置。
上記(1)のスペックル測定装置であって、
前記制御部は、前記撮像部により撮像されたスペックル像の座標空間を所定サイズの複数の分割領域に区分し、領域的なノイズ成分が最も少ない前記分割領域を前記測定領域として決定し、この測定領域のスペックル像と一致度が最も高い領域を次の時刻のスペックル像の中から探索して、前記探索された領域を次の時刻の前記測定領域とするように構成された
スペックル測定装置
上記(3)のスペックル測定装置であって、
前記制御部は、コヒーレント光の強度の変化に対して線形に変化しない画像信号を局所的なノイズとして判定するように構成された
スペックル測定装置。
上記(3)または(4)のスペックル測定装置であって、
前記制御部は、存在する全てのスペックルの輝度の明暗差の平均値、最大値および中央値のいずれかが閾値以下である分割領域を前記測定領域から排除するように構成された
スペックル測定装置。
測定対象にコヒーレント光を照射し、
前記測定対象から戻ってくる散乱光の像をスペックル像として撮像し、
制御部にて、時間的に連続して撮像された複数の前記スペックル像の、前記測定対象の同一部位にあたる測定領域を、前記測定対象と撮像部との相対的な位置関係の移動量を加味して判定する
スペックル測定方法。
上記(1)のスペックル測定方法であって、
前記制御部は、前記撮像部により時間的に連続して撮像された複数のスペックル像を比較して前記測定対象と前記撮像部との相対的な位置関係の移動量を検出し、この検出された移動量をもとに、複数のスペックル像の、前記測定対象の同一部位にあたる測定領域を判定する
スペックル測定方法。
上記(7)のスペックル測定方法であって、
前記制御部は、前記撮像部により撮像されたスペックル像の座標空間を所定サイズの複数の分割領域に区分し、領域的なノイズ成分が最も少ない前記分割領域を前記測定領域として決定し、この測定領域のスペックル像と一致度が最も高い領域を次の時刻のスペックル像の中から探索して、前記探索された領域を次の時刻の前記測定領域とする
スペックル測定方法
上記(8)のスペックル測定方法であって、
前記制御部は、コヒーレント光の強度の変化に対して線形に変化しない画像信号を前記局所的なノイズとして判定する
スペックル測定方法。
上記(8)または(9)のスペックル測定方法であって、
前記制御部は、存在する全てのスペックルの輝度の明暗差の平均値、最大値および中央値のいずれかが閾値以下である分割領域を前記測定領域から排除する
スペックル測定方法。
2…測定対象
4…撮像部
6…演算処理回路
7…メモリー
10…スペックル測定系
61…移動検出部
62、62A…測定領域算出部
63、63A…追尾信号生成部
64,64A…時系列信号処理部
65A…領域生成部
66A…領域品質判定部
100、100A…スペックル測定装置
Claims (6)
- 測定対象にコヒーレント光を照射したときに前記測定対象から戻ってくる散乱光の像をスペックル像として撮像する撮像部と、
前記撮像部により時間的に連続して撮像された複数の前記スペックル像の、前記測定対象の同一部位にあたる測定領域を、前記測定対象と前記撮像部との相対的な位置関係の移動量を加味して判定する制御部とを具備する
スペックル測定装置。 - 請求項1に記載のスペックル測定装置であって、
前記制御部は、前記撮像部により時間的に連続して撮像された複数のスペックル像を比較して前記測定対象と前記撮像部との相対的な位置関係の移動量を検出し、この検出された移動量をもとに、複数のスペックル像の、前記測定対象の同一部位にあたる測定領域を判定するように構成された
スペックル測定装置。 - 請求項1に記載のスペックル測定装置であって、
前記制御部は、前記撮像部により撮像されたスペックル像の座標空間を所定サイズの複数の分割領域に区分し、領域的なノイズ成分が最も少ない前記分割領域を前記測定領域として決定し、この測定領域のスペックル像と一致度が最も高い領域を次の時刻のスペックル像の中から探索して、前記探索された領域を次の時刻の前記測定領域とするように構成された
スペックル測定装置。 - 請求項3に記載のスペックル測定装置であって、
前記制御部は、コヒーレント光の強度の変化に対して線形に変化しない画像信号を局所的なノイズとして判定するように構成された
スペックル測定装置。 - 請求項4に記載のスペックル測定装置であって、
前記制御部は、存在する全てのスペックルの輝度の明暗差の平均値、最大値および中央値のいずれかが閾値以下である分割領域を前記測定領域から排除するように構成された
スペックル測定装置。 - 測定対象にコヒーレント光を照射し、
前記測定対象から戻ってくる散乱光の像をスペックル像として撮像し、
制御部にて、時間的に連続して撮像された複数の前記スペックル像の、前記測定対象の同一部位にあたる測定領域を、前記測定対象と撮像部との相対的な位置関係の移動量を加味して判定する
スペックル測定方法。
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US20140357990A1 (en) * | 2013-05-29 | 2014-12-04 | University Of Washington Through Its Center For Commercialization | Methods for Laser Speckle Contrast Imaging of Blood Perfusion |
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US11593946B2 (en) | 2019-06-19 | 2023-02-28 | Nichia Corporation | Image-capturing device and image processing method |
KR102267845B1 (ko) * | 2020-02-03 | 2021-06-22 | 광주과학기술원 | 스페클 비상관도 시간 분석을 이용하는 혈소판 기능검사 장치 |
KR20210098733A (ko) * | 2020-02-03 | 2021-08-11 | 광주과학기술원 | 스페클 비상관도 시간 분석을 이용하는 적혈구 수명검사 장치 |
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EP3440997A4 (en) | 2019-04-17 |
US10801831B2 (en) | 2020-10-13 |
JP6852730B2 (ja) | 2021-03-31 |
EP3440997B1 (en) | 2020-11-25 |
EP3440997A1 (en) | 2019-02-13 |
US20190094009A1 (en) | 2019-03-28 |
CN108882882A (zh) | 2018-11-23 |
JPWO2017175470A1 (ja) | 2019-02-14 |
CN108882882B (zh) | 2022-05-03 |
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