JP2005319081A - Ultrasonic diagnostic equipment - Google Patents

Ultrasonic diagnostic equipment Download PDF

Info

Publication number
JP2005319081A
JP2005319081A JP2004139688A JP2004139688A JP2005319081A JP 2005319081 A JP2005319081 A JP 2005319081A JP 2004139688 A JP2004139688 A JP 2004139688A JP 2004139688 A JP2004139688 A JP 2004139688A JP 2005319081 A JP2005319081 A JP 2005319081A
Authority
JP
Japan
Prior art keywords
liver
ultrasonic diagnostic
blunting
ultrasonic
degree
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
JP2004139688A
Other languages
Japanese (ja)
Other versions
JP4555603B2 (en
Inventor
Masaru Murashita
賢 村下
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hitachi Ltd
Original Assignee
Aloka Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Aloka Co Ltd filed Critical Aloka Co Ltd
Priority to JP2004139688A priority Critical patent/JP4555603B2/en
Publication of JP2005319081A publication Critical patent/JP2005319081A/en
Application granted granted Critical
Publication of JP4555603B2 publication Critical patent/JP4555603B2/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Images

Landscapes

  • Ultra Sonic Daignosis Equipment (AREA)

Abstract

<P>PROBLEM TO BE SOLVED: To quantify the extent of the regression of the marginal region of the liver in ultrasonic diagnostic equipment receiving a reflected wave of an ultrasonic wave transmitted to an organism and obtaining an ultrasonic tomographic image. <P>SOLUTION: This ultrasonic diagnostic equipment transmits and receives the ultrasonic wave relative to the liver by an ultrasonic probe 20 and obtains the ultrasonic tomographic image based on the received waves. This equipment sets a region 16 of interest adjacent to the hepatic marginal region (an interest region setting part 28) and the longest edge in the region is defined as the outline of the liver (an outline detecting part 38). This equipment finds two straight lines estimated to be two sides constituting the hepatic marginal region. A site surrounded with the two straight lines and the outline is defined as the site blunted by the involution and the area of the site is calculated (a blunted site area measuring part 42). <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

本発明は、生体内に送信された超音波の反射波を受信し、これに基づき超音波断層画像を得る超音波診断装置に関する。   The present invention relates to an ultrasonic diagnostic apparatus that receives an ultrasonic reflected wave transmitted into a living body and obtains an ultrasonic tomographic image based on the reflected wave.

生体内に送信された超音波の反射波を受信し、この反射波に基づき超音波断層画像を得る超音波診断装置が知られ、被験者の負担が少ないことから各種の検査、診断に用いられている。このような検査、診断の一つに肝機能の診断がある。肝臓は、その機能が低下するのに対応して肝実質部の均質性、肝表面の滑らかさ、肝辺縁の鋭さ、肝内脈管像の明瞭さが失われていく。験者は、これらの状態を肝臓の断層画像より得て、また他の検査の結果などを勘案して診断を行っている。なお、前記の肝辺縁とは、ヒトであれば、ヒトが立った状態で下側の縁の部分に相当する。   An ultrasonic diagnostic apparatus that receives an ultrasonic reflected wave transmitted into a living body and obtains an ultrasonic tomographic image based on the reflected wave is known, and is used for various examinations and diagnoses because the burden on the subject is small. Yes. One of such tests and diagnoses is liver function diagnosis. As the function of the liver decreases, the homogeneity of the liver parenchyma, the smoothness of the liver surface, the sharpness of the liver margin, and the clarity of the intravascular image of the liver are lost. The examiner obtains these states from a tomographic image of the liver and makes a diagnosis in consideration of the results of other examinations. Note that the liver margin corresponds to the lower edge portion of a human when the human is standing.

下記特許文献1には、超音波断層画像の肝実質部の変化に基づく肝機能の診断について開示されている。   Patent Document 1 below discloses a diagnosis of liver function based on a change in the liver parenchyma of an ultrasonic tomographic image.

特開2001−238884号公報Japanese Patent Laid-Open No. 2001-23884

前記特許文献1には、肝実質部の変化に基づく肝機能の検査、診断について開示があるが、肝機能の診断は上述したように肝実質部の均一性の他、肝表面の滑らかさ、肝辺縁の鋭さ、肝内脈管像の明瞭さなどを勘案して験者がその経験に基づき診断をしている。前記特許文献1には、肝実質部の均一性以外の観察対象については何ら開示されていない。   Patent Document 1 discloses the examination and diagnosis of liver function based on changes in the liver parenchyma, but the diagnosis of liver function includes the uniformity of the liver parenchyma as described above, the smoothness of the liver surface, Considering the sharpness of the liver margin and the clarity of intravascular images, the examiner makes a diagnosis based on the experience. Patent Document 1 does not disclose any observation object other than the uniformity of the liver parenchyma.

本発明は、肝機能の検査、診断に関し、特許文献1とは別の特徴事項を対象とした評価を行い診断を支援する超音波診断装置を提供する。   The present invention relates to an examination and diagnosis of liver function, and provides an ultrasonic diagnostic apparatus that supports evaluation by performing evaluations on characteristic items different from Patent Document 1.

本発明の超音波診断装置は、肝臓の超音波断層画像を得る断層画像取得手段と、前記断層画像において、肝辺縁の鈍化の程度を示す値である鈍化度を算出する鈍化度算出手段とを有している。   The ultrasonic diagnostic apparatus of the present invention includes a tomographic image acquisition unit that obtains an ultrasonic tomographic image of the liver, and a blunting degree calculating unit that calculates a blunting degree that is a value indicating the degree of blunting of the liver margin in the tomographic image. have.

また、前記鈍化度算出手段は、肝辺縁を構成する2辺を抽出し、これらに対してそれぞれ近似直線を求め、この近似直線と肝辺縁の輪郭線とで囲まれる部分に基づき鈍化度を算出するものとすることができる。   Further, the blunting degree calculating means extracts two sides constituting the liver margin, obtains approximate lines for each of them, and based on the portion surrounded by the approximate straight line and the outline of the liver margin, the blunting degree Can be calculated.

また、前記鈍化度算出手段は、前記近似直線と前記輪郭線とで囲まれる部分の面積に基づき鈍化度を算出するものとすることができる。   Further, the blunting degree calculating means may calculate the blunting degree based on an area of a portion surrounded by the approximate straight line and the contour line.

また、前記鈍化度は、前記近似直線と前記輪郭線とで囲まれる部分の面積を、前記近似直線の交わる角度で割って正規化した値とすることができる。   The blunting degree may be a value obtained by normalizing an area of a portion surrounded by the approximate straight line and the contour line by dividing the area by the approximate straight line.

前記鈍化度算出手段は、肝辺縁を構成する2辺を抽出し、これらに対してそれぞれ近似直線を求め、前記近似直線の交点と、前記輪郭線の最短距離に基づき鈍化度を算出するものとすることができる。   The blunting degree calculating means extracts two sides constituting the liver margin, calculates approximate straight lines for each of them, and calculates the blunting degree based on the intersection of the approximate straight lines and the shortest distance between the contour lines. It can be.

前記超音波診断装置は、前記近似直線と前記輪郭線とで囲まれる部分に色を与えた画像を提供するものとすることができる。   The ultrasonic diagnostic apparatus may provide an image in which a color is given to a portion surrounded by the approximate straight line and the contour line.

また、この部分に色を与えた超音波断層画像を提供することも好ましい。   It is also preferable to provide an ultrasonic tomographic image in which a color is given to this portion.

肝辺縁の退縮の程度を数値化することにより、肝機能の診断の指標を提供することができる。   By quantifying the degree of hepatic marginal retraction, an index for diagnosing liver function can be provided.

以下、本発明の実施形態を、図面に従って説明する。図1は、ヒトの肝臓10の概略の外観を示した図である。図1は、ヒトが立った状態のときの向きに描かれており、紙面手前側がヒトの正面、紙面奥が背面、紙面上が上方である。肝臓の下側の縁の部分(図1に符号12で示す縁)は、特に肝辺縁と呼ばれる。超音波断層画像を得る際には、超音波探触子を肋骨の下から、やや上方に向けて当接させて画像を得る。図1では、紙面手前側のやや下方から上方に向けて探触子を当てて断層画像を得る。図1の一点鎖線14における断層画像が図2,3に示されている。図2,3において、真上が超音波探触子の位置であり、よって図2の上側がヒトの正面側の面、下側が背中側の面となっている。また、前述した肝辺縁12は右端となる。   Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a diagram showing a schematic appearance of a human liver 10. FIG. 1 is drawn in a direction when a human is standing, with the front side of the paper being the front of the human, the back of the paper being the back, and the top of the paper being the top. The portion of the lower edge of the liver (the edge indicated by reference numeral 12 in FIG. 1) is particularly called the liver margin. When obtaining an ultrasonic tomographic image, the image is obtained by bringing the ultrasonic probe into contact with the rib from below the rib slightly upward. In FIG. 1, a tomographic image is obtained by applying a probe from a slightly lower side toward the upper side on the front side of the drawing. The tomographic images taken along the alternate long and short dash line 14 in FIG. 1 are shown in FIGS. 2 and 3, the position directly above is the position of the ultrasound probe, and therefore, the upper side of FIG. 2 is the front side surface of the human and the lower side is the back side surface. Moreover, the liver margin 12 mentioned above becomes a right end.

図2は、正常な肝臓の超音波断層画像であり、肝辺縁12は先端がとがった形状となっている。図3は、病状が進んだ肝臓の画像であり、図2に対して、肝辺縁12の先端が退縮して、先端が丸くなって鈍化している様子が分かる。肝辺縁12で交わる2辺は、正常時はほぼ直線であり、肝辺縁12の先端が鈍化して丸くなっても、鈍化して丸くなった部分につながる部分は、ほぼ直線である。   FIG. 2 is an ultrasonic tomographic image of a normal liver, and the liver margin 12 has a shape with a sharp tip. FIG. 3 is an image of the liver in which the medical condition has progressed. Compared to FIG. 2, it can be seen that the tip of the liver margin 12 is retracted and the tip is rounded and blunted. The two sides that intersect at the liver margin 12 are substantially straight when normal, and even if the tip of the liver margin 12 is blunted and rounded, the portion connected to the blunted and rounded portion is almost straight.

前述のように、正常な肝臓は、その断層画像において肝辺縁12が鋭角に表れるが、硬化が進むに従って、肝辺縁の先端が退縮し、丸みを帯びるようになってくる。この丸みの程度、すなわち鈍化の程度を求めることにより症状の推測ができる。   As described above, in the normal liver, the liver margin 12 appears at an acute angle in the tomographic image, but as the hardening progresses, the tip of the liver margin retracts and becomes rounded. The symptom can be estimated by obtaining the degree of roundness, that is, the degree of blunting.

以下、この肝辺縁12の鈍化の程度の数値化の手法について説明する。図4には、超音波診断装置における、肝辺縁の退縮の定量化処理に関連する機能ブロック図が示されている。超音波探触子20は、送受信部22に制御されて生体内に超音波を送信し、またこれの反射波を受信し、受信信号に変換する。受信信号は、送受信部よりデジタルスキャンコンバータ(DSC)24に送られ、ここで超音波断層画像が形成される。この超音波断層画像に基づき、鈍化度算出部26にて鈍化の程度を示す値(鈍化度)を算出する。   Hereinafter, a method for quantifying the degree of blunting of the liver margin 12 will be described. FIG. 4 shows a functional block diagram related to the quantification process of liver margin regression in the ultrasonic diagnostic apparatus. The ultrasonic probe 20 is controlled by the transmission / reception unit 22 to transmit an ultrasonic wave into the living body, receives a reflected wave thereof, and converts it into a reception signal. The received signal is sent from the transmission / reception unit to the digital scan converter (DSC) 24, where an ultrasonic tomographic image is formed. Based on this ultrasonic tomographic image, the blunting degree calculation unit 26 calculates a value indicating the degree of blunting (blunting degree).

鈍化度算出部26の詳細について、以下説明する。図2または図3に示すような肝臓断面の超音波断層画像に対し、図5に示すように、肝辺縁12に相当する部分に関心領域16を設定する。関心領域16の設定は、関心領域設定部28が行う。関心領域は、験者が画面上の関心領域の位置、大きさを数値で直接入力したり、またはポインティングデバイスなどにより入力することで設定でき、験者は表示された断層画像を見て、領域の調節を行う。   Details of the blunting degree calculation unit 26 will be described below. For the ultrasonic tomographic image of the liver cross section as shown in FIG. 2 or FIG. 3, a region of interest 16 is set in a portion corresponding to the liver margin 12 as shown in FIG. The region of interest 16 is set by the region of interest setting unit 28. The region of interest can be set by the examiner directly entering the position and size of the region of interest on the screen numerically, or by inputting with a pointing device, etc. The examiner looks at the displayed tomographic image and adjusts the region. I do.

次に、表面を抽出するために各処理を行う。まず、メディアン処理部30でメディアン処理を行いノイズを排除する。具体的には、3×3の画素の輝度値の中央値を中心画素の輝度値とする処理を行う。これにより、突発的に大きなピークなどを除去することができる。次に、二値化処理部32にて画像の二値化を行う。二値化の際のしきい値は、あらかじめ定められた値を用いることもでき、また験者が任意に、例えば画像を見ながら設定するようにしてもよい。そして、ノイズ除去部34にて、二値化処理において発生したノイズなどの除去を行う。   Next, each process is performed to extract the surface. First, the median processing unit 30 performs median processing to eliminate noise. Specifically, a process is performed in which the central value of the luminance values of 3 × 3 pixels is set to the luminance value of the central pixel. Thereby, a big peak etc. can be removed suddenly. Next, the binarization processing unit 32 binarizes the image. As the threshold value for binarization, a predetermined value can be used, or the examiner may arbitrarily set the threshold value while viewing the image, for example. The noise removing unit 34 removes noise generated in the binarization process.

ノイズが除去された二値化画像に対してエッジ検出部36にてエッジ、すなわち二値の境界線の検出を行う。エッジ検出は、公知のフィルタを用いて行うことができる。輪郭線検出部38は、検出されたエッジ中、最長のエッジを肝辺縁12の輪郭線とする。最長エッジは、例えば以下のようにして求める。まず、エッジ検出部36で得られたエッジに対し、連続する画素に共通のラベルを付すラベリング処理を行う。同じラベルが付された画素は、連続しており、連なる画素の数を数えることで、そのエッジの長さを算出できる。図6に、得られた輪郭線eの例が示されている。   The edge detection unit 36 detects an edge, that is, a binary boundary line, from the binarized image from which noise has been removed. Edge detection can be performed using a known filter. The contour line detection unit 38 sets the longest edge among the detected edges as the contour line of the liver margin 12. The longest edge is obtained as follows, for example. First, a labeling process for attaching a common label to consecutive pixels is performed on the edge obtained by the edge detection unit 36. The pixels with the same label are continuous, and the length of the edge can be calculated by counting the number of consecutive pixels. FIG. 6 shows an example of the obtained contour line e.

次に、輪郭線eに対し、肝辺縁を構成する2辺の算出を以下のように行う。図7には、図6の輪郭線eを構成する各画素が示されている。各画素に付されている数字の組は、その画素と前後の画素、3画素の各座標の算術平均である。すなわち、画素Hの平均化されたx,y座標は、下に示すように画素H本来の座標(7,4)と、前後の画素G,Iの座標(6,4),(8,5)の各画素の平均値(7,4.3)である。   Next, with respect to the contour line e, two sides constituting the liver margin are calculated as follows. FIG. 7 shows each pixel constituting the contour line e of FIG. A set of numbers assigned to each pixel is an arithmetic average of the coordinates of the pixel, the preceding and following pixels, and the three pixels. That is, the averaged x and y coordinates of the pixel H are the original coordinates (7, 4) of the pixel H and the coordinates (6, 4), (8, 5) of the pixels G and I before and after, as shown below. ) Is the average value (7, 4.3) of each pixel.

Hx=(6+7+8)/3=7     Hx = (6 + 7 + 8) / 3 = 7

Hy=(4+4+5)/3=4.3     Hy = (4 + 4 + 5) /3=4.3

この平均化処理された各画素の値に基づき、次の画素との差分を求めて、これらの画素を結ぶ線分の傾きを求める。例えば、画素Hに関してこの傾きを求めると、この画素Hと次の画素Iについて、前述の平均値により求められた座標がH(7,4.3),I(8,4.7)であり、傾きaは、下に示す式から0.4となる。   Based on the value of each averaged pixel, the difference from the next pixel is obtained, and the slope of the line segment connecting these pixels is obtained. For example, when this inclination is obtained for the pixel H, the coordinates obtained by the above-mentioned average value for this pixel H and the next pixel I are H (7, 4.3) and I (8, 4.7). The slope a is 0.4 from the equation shown below.

a=(4.7−4.3)/(8−7)=0.4
図8は、このようにして求めた隣り合う画素の傾きを輪郭線eを構成する全画素について調べた例である。
a = (4.7-4.3) / (8-7) = 0.4
FIG. 8 is an example in which the inclination of adjacent pixels obtained in this way is examined for all the pixels constituting the contour line e.

直線算出部40は、図8のように求められた隣接画素間での傾きに基づき、肝臓の硬化によって退縮してもなお残っている直線部の抽出を行う。具体的には、左上の点Aから、この傾きが所定値に達するまでの区間を上側の直線部に係る区間とし、その後絶対値が所定値以下となった点から左下の点BBまでの区間を下側の直線部に係る区間とする。この所定値は、例えば無限大とすることができ、この場合上側の直線部を構成する画素として、図8の例では画素Aから画素Xが抽出される。この抽出された画素に属する傾きから、直線と見なせる範囲を抽出して、これを直線部s1 ,s2 (図9参照)とする。直線部の抽出は、例えば、抽出された画素の平均値を中心に標準偏差内に納まる画素を選ぶようにすることができる。図8の上の部分であれば、画素Aから画素Xの平均値は0.82、標準偏差は0.89となるから、−0.07から1.71の範囲が直線部を構成する画素であるとする。これを満たすのは、画素Bから画素Tまでであり、これの近似直線を最小二乗法により算出する。図9の上側の直線部s1 を近似した直線がm1 であり、同様にして、下側の直線部s2 を近似した直線がm2 である。   The straight line calculation unit 40 extracts a straight line portion that remains even after retraction due to hardening of the liver, based on the inclination between adjacent pixels obtained as shown in FIG. Specifically, a section from the upper left point A until the slope reaches a predetermined value is a section related to the upper straight line portion, and thereafter a section from the point where the absolute value is equal to or lower than the predetermined value to the lower left point BB Is a section related to the lower straight line portion. This predetermined value can be set to infinity, for example, and in this case, pixel X is extracted from pixel A in the example of FIG. A range that can be regarded as a straight line is extracted from the slopes belonging to the extracted pixels, and these are defined as straight line portions s1 and s2 (see FIG. 9). For the extraction of the straight line portion, for example, it is possible to select pixels that fall within the standard deviation around the average value of the extracted pixels. In the upper part of FIG. 8, since the average value from pixel A to pixel X is 0.82 and the standard deviation is 0.89, pixels in the range from −0.07 to 1.71 form a straight line portion. Suppose that This is satisfied from pixel B to pixel T, and an approximate straight line is calculated by the method of least squares. In FIG. 9, a straight line approximating the upper straight line portion s1 is m1, and similarly, a straight line approximating the lower straight line portion s2 is m2.

鈍化部面積計測部42は、直線算出部40により算出された直線m1 ,m2 と輪郭線eで囲まれた部分Φの面積を求める。これは、直線m1 ,m2 が正常な肝臓の輪郭線、すなわち肝辺縁を構成する2辺であり、これと実際の輪郭線の差が、肝臓が病変によって退縮した部分とする仮定に基づく。   The blunt portion area measuring unit 42 obtains the area of the portion Φ surrounded by the straight lines m1 and m2 calculated by the straight line calculating unit 40 and the contour line e. This is based on the assumption that the straight lines m1 and m2 are the contours of a normal liver, that is, the two sides constituting the liver margin, and the difference between this and the actual contour is the portion where the liver is retracted due to the lesion.

二つの直線m1 ,m2 の角度は、被検者によって大きく変わるものではないが、当然個人差がある。鈍化部面積計測部42で、求められた面積が同じであっても角度が異なれば、退縮の程度が異なるため、正規化を行うことが好ましい。そこで、正規化部44において、直線m1 ,m2 と輪郭線eで囲まれた部分Φの面積を、直線m1 ,m2 の交差する角度θ(図9参照)で割って、正規化を行う。   The angles of the two straight lines m1 and m2 do not vary greatly depending on the subject, but naturally there are individual differences. Even if the obtained area is the same in the blunt part area measuring unit 42, normalization is preferably performed because the degree of retraction differs if the angle is different. Therefore, the normalizing unit 44 performs normalization by dividing the area of the portion Φ surrounded by the straight lines m1 and m2 and the contour line e by the angle θ (see FIG. 9) at which the straight lines m1 and m2 intersect.

算出された鈍化の程度を示す値を超音波診断装置の表示部46に表示し、退縮したと思われる部分、すなわち図8に符号Φで示した部分に色を付して表示する。   A value indicating the calculated degree of blunting is displayed on the display unit 46 of the ultrasonic diagnostic apparatus, and a portion that is considered to be retracted, that is, a portion indicated by a symbol Φ in FIG.

以上の実施形態では、退縮した部分Φの面積に基づき、鈍化の程度を定量化したが、前述の近似直線m1 ,m2 の交点と、輪郭線eとの最短距離f(図10参照)により定量化することも可能である。この場合、図4に示すブロック図の鈍化部面積計測部42と正規化部44に替えて、退縮距離計測部を設け、肝臓の硬化によって肝辺縁が退縮した長さと考えられる前述の距離fを計測する。この値を鈍化の程度を表す指標とすることができる。この数値そのものを表示部46に表示し、またその長さを図10のように矢印などで、超音波断層画像上に重ねて表示することもできる。さらに、近似直線m1 ,m2 と輪郭線eで囲まれた部分を色を付して表示してもよい。   In the above embodiment, the degree of blunting is quantified on the basis of the area of the retracted portion Φ, but it is quantified by the shortest distance f (see FIG. 10) between the intersection of the above approximated lines m1 and m2 and the contour line e. It is also possible to In this case, instead of the blunt portion area measuring unit 42 and the normalizing unit 44 in the block diagram shown in FIG. 4, a retraction distance measuring unit is provided, and the above-mentioned distance f considered to be the length at which the liver margin has retracted due to the hardening of the liver. Measure. This value can be used as an index representing the degree of blunting. This numerical value itself can be displayed on the display unit 46, and the length thereof can be displayed over the ultrasonic tomographic image with an arrow or the like as shown in FIG. Further, a portion surrounded by the approximate straight lines m1 and m2 and the contour line e may be displayed with a color.

ヒトの肝臓の外観を示した図である。It is the figure which showed the external appearance of the human liver. ヒトの肝臓の超音波断層画像を示した図であり、特に正常な肝臓の画像を示したものである。It is the figure which showed the ultrasonic tomographic image of the human liver, and shows the image of the normal liver especially. ヒトの肝臓の超音波断層画像を示した図であり、特に肝機能が低下した肝臓の画像を示したものである。It is the figure which showed the ultrasonic tomographic image of the human liver, and shows the image of the liver in which especially the liver function fell. 肝辺縁の退縮程度の算出に係る超音波診断装置の機能ブロック図である。It is a functional block diagram of the ultrasonic diagnostic apparatus which concerns on calculation of the retraction degree of a liver margin. 関心領域の設定例を示す図である。It is a figure which shows the example of a setting of a region of interest. 関心領域と、肝辺縁の輪郭線eを示した図である。It is the figure which showed the region of interest and the outline e of the liver margin. 肝辺縁の2辺を示す直線の算出に係る説明図である。It is explanatory drawing which concerns on calculation of the straight line which shows two sides of a liver margin. 肝辺縁の2辺を示す直線の算出に係る説明図である。It is explanatory drawing which concerns on calculation of the straight line which shows two sides of a liver margin. 肝辺縁の退縮した部分を示す図である。It is a figure which shows the part which the liver margin retreated. 肝辺縁の退縮量の例を示す図である。It is a figure which shows the example of the retraction amount of a liver margin.

符号の説明Explanation of symbols

10 肝臓、12 肝辺縁、20 超音波探触子、26 鈍化度算出部。   10 liver, 12 liver margin, 20 ultrasonic probe, 26 bluntness calculation unit.

Claims (6)

肝臓の超音波断層画像を得る断層画像取得手段と、
前記断層画像において、肝辺縁の鈍化の程度を示す値である鈍化度を算出する鈍化度算出手段と、
を有することを特徴とする超音波診断装置。
A tomographic image acquisition means for obtaining an ultrasonic tomographic image of the liver;
In the tomographic image, a blunting degree calculating means for calculating a blunting degree that is a value indicating a degree of blunting of the liver margin,
An ultrasonic diagnostic apparatus comprising:
請求項1に記載の超音波診断装置において、前記鈍化度算出手段は、肝辺縁を構成する2辺を抽出し、これらに対してそれぞれ近似直線を求め、この近似直線と肝辺縁の輪郭線とで囲まれる部分に基づき鈍化度を算出することを特徴とする超音波診断装置。   2. The ultrasonic diagnostic apparatus according to claim 1, wherein the blunting degree calculating unit extracts two sides constituting the liver margin, obtains an approximate line for each of them, and calculates the approximate line and the contour of the liver margin. An ultrasonic diagnostic apparatus characterized in that a blunting degree is calculated based on a portion surrounded by a line. 請求項2に記載の超音波診断装置において、前記鈍化度算出手段は、前記近似直線と前記輪郭線とで囲まれる部分の面積に基づき鈍化度を算出することを特徴とする超音波診断装置。   The ultrasonic diagnostic apparatus according to claim 2, wherein the blunting degree calculating unit calculates the blunting degree based on an area of a portion surrounded by the approximate straight line and the contour line. 請求項3に記載の超音波診断装置において、前記鈍化度は、前記近似直線と前記輪郭線とで囲まれる部分の面積を、前記近似直線の交わる角度で割って正規化した値であることを特徴とする超音波診断装置。   The ultrasonic diagnostic apparatus according to claim 3, wherein the blunting degree is a value obtained by dividing an area of a portion surrounded by the approximate line and the contour line by an angle at which the approximate line intersects. A characteristic ultrasonic diagnostic apparatus. 請求項1に記載の超音波診断装置において、前記鈍化度算出手段は、肝辺縁を構成する2辺を抽出し、これらに対しそれぞれ近似直線を求め、前記近似直線の交点と、前記輪郭線の最短距離に基づき鈍化度を算出することを特徴とする超音波診断装置。   2. The ultrasonic diagnostic apparatus according to claim 1, wherein the blunting degree calculating unit extracts two sides constituting a liver margin, obtains an approximate line for each of them, obtains an intersection of the approximate lines, and the contour line An ultrasonic diagnostic apparatus characterized in that the degree of blunting is calculated based on the shortest distance. 請求項2から5のいずれか1項に記載の超音波診断装置において、前記近似直線と前記輪郭線とで囲まれる部分に色を与えた画像を提供することを特徴とする超音波診断装置。   6. The ultrasonic diagnostic apparatus according to claim 2, wherein an image is provided in which a color is given to a portion surrounded by the approximate straight line and the contour line.
JP2004139688A 2004-05-10 2004-05-10 Ultrasonic diagnostic equipment Expired - Fee Related JP4555603B2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2004139688A JP4555603B2 (en) 2004-05-10 2004-05-10 Ultrasonic diagnostic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2004139688A JP4555603B2 (en) 2004-05-10 2004-05-10 Ultrasonic diagnostic equipment

Publications (2)

Publication Number Publication Date
JP2005319081A true JP2005319081A (en) 2005-11-17
JP4555603B2 JP4555603B2 (en) 2010-10-06

Family

ID=35466801

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2004139688A Expired - Fee Related JP4555603B2 (en) 2004-05-10 2004-05-10 Ultrasonic diagnostic equipment

Country Status (1)

Country Link
JP (1) JP4555603B2 (en)

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
JPN6010008227, 加藤博基他, "慢性肝障害のComputer aided diagnosis(CAD):肝辺縁形状および肝実質テクスチャ解析の試み", 日本医学放射線学会雑誌, 200402, Vol.64, No.2, Page.S104 *
JPN7010000551, 竹原靖明他編, "腹部エコーのABC", 日本医師会雑誌臨時増刊号, 19870620, vol.97, no.13, page.180 *

Also Published As

Publication number Publication date
JP4555603B2 (en) 2010-10-06

Similar Documents

Publication Publication Date Title
Loizou et al. Snakes based segmentation of the common carotid artery intima media
US11191518B2 (en) Ultrasound system and method for detecting lung sliding
US10368833B2 (en) Method and system for fetal visualization by computing and displaying an ultrasound measurement and graphical model
US9872614B2 (en) Image processing apparatus, method for image processing, image pickup system, and computer-readable storage medium
JP4550599B2 (en) Three-dimensional ultrasonic image forming apparatus and method
WO2011013693A1 (en) Ultrasonic diagnostic device and region-of-interest setting method therefor
TWI473598B (en) Breast ultrasound image scanning and diagnostic assistance system
EP2989990B1 (en) Ultrasound diagnosis apparatus, ultrasound diagnosis method performed by the ultrasound diagnosis apparatus, and computer-readable storage medium having the untrasound dianognosis method recorded thereon
EP1913874B1 (en) Ultrasound diagnostic apparatus and method for measuring a size of a target object
EP1747757A1 (en) Ultrasound system for displaying an elastic image
JP6303912B2 (en) Ultrasonic diagnostic apparatus, ultrasonic diagnostic method, and computer-readable non-transitory recording medium storing program
US20140018682A1 (en) Ultrasonic diagnostic apparatus and ultrasonic diagnostic image rendering method
WO2018113284A1 (en) Sphincter image processing method and apparatus, and ultrasonic device
JP6191328B2 (en) Ultrasonic diagnostic apparatus, ultrasonic image analysis method, and program
KR100847796B1 (en) Ultrasound system for forming and displaying elastic image
JP3802462B2 (en) Ultrasonic diagnostic equipment
KR101059824B1 (en) Method measuring the ratio of intima to media thickness in carotid artery using ultrasound image
JP4555603B2 (en) Ultrasonic diagnostic equipment
CN107767386B (en) Ultrasonic image processing method and device
Loizou et al. Atherosclerotic carotid plaque segmentation
JP4202966B2 (en) Ultrasonic diagnostic equipment
WO2017056779A1 (en) Ultrasonic tissue detection device, ultrasonic tissue detection method, and ultrasonic tissue detection program
JP2007518508A (en) Ultrasound imaging system for calculating compressibility
JP7215053B2 (en) Ultrasonic image evaluation device, ultrasonic image evaluation method, and ultrasonic image evaluation program
Petroudi et al. Atherosclerotic carotid wall segmentation in ultrasound images using Markov random fields

Legal Events

Date Code Title Description
A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20070319

A977 Report on retrieval

Free format text: JAPANESE INTERMEDIATE CODE: A971007

Effective date: 20100209

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20100302

A521 Written amendment

Free format text: JAPANESE INTERMEDIATE CODE: A523

Effective date: 20100422

TRDD Decision of grant or rejection written
A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

Effective date: 20100713

A01 Written decision to grant a patent or to grant a registration (utility model)

Free format text: JAPANESE INTERMEDIATE CODE: A01

A61 First payment of annual fees (during grant procedure)

Free format text: JAPANESE INTERMEDIATE CODE: A61

Effective date: 20100716

FPAY Renewal fee payment (event date is renewal date of database)

Free format text: PAYMENT UNTIL: 20130723

Year of fee payment: 3

R150 Certificate of patent or registration of utility model

Free format text: JAPANESE INTERMEDIATE CODE: R150

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

R250 Receipt of annual fees

Free format text: JAPANESE INTERMEDIATE CODE: R250

LAPS Cancellation because of no payment of annual fees