JP2018027401A5 - Diagnostic system and information processing apparatus - Google Patents
Diagnostic system and information processing apparatus Download PDFInfo
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- JP2018027401A5 JP2018027401A5 JP2017226397A JP2017226397A JP2018027401A5 JP 2018027401 A5 JP2018027401 A5 JP 2018027401A5 JP 2017226397 A JP2017226397 A JP 2017226397A JP 2017226397 A JP2017226397 A JP 2017226397A JP 2018027401 A5 JP2018027401 A5 JP 2018027401A5
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- oxygen saturation
- blood volume
- total blood
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- MYMOFIZGZYHOMD-UHFFFAOYSA-N oxygen Chemical compound O=O MYMOFIZGZYHOMD-UHFFFAOYSA-N 0.000 claims 25
- 229910052760 oxygen Inorganic materials 0.000 claims 25
- 239000001301 oxygen Substances 0.000 claims 25
- 210000004369 Blood Anatomy 0.000 claims 23
- 239000008280 blood Substances 0.000 claims 23
- 210000001519 tissues Anatomy 0.000 claims 10
- 230000000875 corresponding Effects 0.000 claims 6
- 230000003595 spectral Effects 0.000 claims 5
- 238000003384 imaging method Methods 0.000 claims 1
Claims (12)
前記電子内視鏡より入力した前記分光画像データに基づいてビデオ信号を生成する電子内視鏡用プロセッサと、 An electronic endoscope processor for generating a video signal based on the spectral image data input from the electronic endoscope;
前記電子内視鏡用プロセッサより入力したビデオ信号を基に画像を表示する画像表示装置と、 An image display device for displaying an image based on a video signal input from the processor for electronic endoscope;
を備え、With
前記分光画像データは、 The spectral image data is
前記生体組織の総血液量と酸素飽和度を特徴量として含むデータ群であり、 A data group including the total blood volume and oxygen saturation of the living tissue as feature quantities,
前記電子内視鏡用プロセッサは、 The electronic endoscope processor is:
前記分光画像データに基づいて前記生体組織における総血液量と酸素飽和度を求め、 Obtain the total blood volume and oxygen saturation in the living tissue based on the spectral image data,
前記データ群に対して前記総血液量に関する閾値判定を行い、 Performing a threshold determination on the total blood volume for the data group;
前記閾値判定によって抽出された抽出データ群に対して、前記酸素飽和度に応じた画像処理を行うことにより、前記抽出データ群に対応する画像領域について、前記酸素飽和度が所定量となる画像領域を他の画像領域と識別可能に前記画像表示装置に表示させる、 An image region in which the oxygen saturation is a predetermined amount for an image region corresponding to the extracted data group by performing image processing corresponding to the oxygen saturation on the extracted data group extracted by the threshold determination Is displayed on the image display device so as to be distinguishable from other image areas.
診断システム。Diagnostic system.
前記抽出データ群に対応する画像領域を、前記酸素飽和度に応じた濃淡度で又は前記酸素飽和度に応じて色分けして前記画像表示装置に表示させる、 The image region corresponding to the extracted data group is displayed on the image display device with color gradation according to the oxygen saturation or according to the oxygen saturation,
請求項１に記載の診断システム。The diagnostic system according to claim 1.
前記総血液量と第１閾値との比較により前記生体組織において前記総血液量が高い領域か否かを判定し、かつ前記酸素飽和度と第２閾値との比較により前記総血液量と前記第１閾値との比較を行った前記生体組織において前記酸素飽和度が高い領域か否かを判定し、前記判定の結果に基づいて前記生体組織の状態を分類する、 It is determined whether the total blood volume is a region where the total blood volume is high in the living tissue by comparing the total blood volume with the first threshold value, and comparing the total blood volume with the first threshold value by comparing the oxygen saturation with a second threshold value. Determining whether or not the oxygen saturation level is high in the biological tissue compared with the threshold value, and classifying the state of the biological tissue based on the determination result;
請求項１又は請求項２に記載の診断システム。The diagnostic system according to claim 1 or claim 2.
前記総血液量が高くないと判定した低血液量となる画像領域でかつ前記酸素飽和度が高くないと判定した低酸素飽和度となる画像領域を、他の画像領域と識別できるように前記画像表示装置に表示させる、 The image area having a low blood volume determined not to have a high total blood volume and the image area having a low oxygen saturation level determined not to have a high oxygen saturation can be distinguished from other image areas. Display on a display device,
請求項３に記載の診断システム。The diagnostic system according to claim 3.
前記総血液量が高いと判定した高血液量となる画像領域でかつ前記酸素飽和度が高くないと判定した低酸素飽和度となる画像領域を、他の画像領域と識別できるように前記画像表示装置に表示させる、 The image display so that an image region having a high blood volume determined to have a high total blood volume and a low oxygen saturation level having been determined not to have a high oxygen saturation can be distinguished from other image regions. Display on the device,
請求項３又は請求項４に記載の診断システム。The diagnostic system according to claim 3 or 4.
前記抽出データ群について、前記総血液量及び前記酸素飽和度の閾値の論理積により個々のデータを識別する、 For the extracted data group, individual data is identified by a logical product of the total blood volume and the oxygen saturation threshold value.
請求項１から請求項５の何れか一項に記載の診断システム。The diagnostic system according to any one of claims 1 to 5.
前記画像処理部は、 The image processing unit
生体組織の総血液量と酸素飽和度を特徴量として含むデータ群を取得し、 Acquire a data group that includes the total blood volume and oxygen saturation of biological tissues as features,
前記取得されたデータ群に対して前記総血液量に関する閾値判定を行い、 Performing a threshold determination on the total blood volume for the acquired data group,
前記閾値判定によって抽出された抽出データ群に対して、前記酸素飽和度に応じた画像処理を行うことにより、前記抽出データ群に対応する画像領域について、前記酸素飽和度が所定量となる画像領域を他の画像領域と識別可能に所定の表示装置に表示させる、 An image region in which the oxygen saturation is a predetermined amount for an image region corresponding to the extracted data group by performing image processing corresponding to the oxygen saturation on the extracted data group extracted by the threshold determination Is displayed on a predetermined display device so that it can be distinguished from other image areas.
情報処理装置。Information processing device.
前記抽出データ群に対応する画像領域を、前記酸素飽和度に応じた濃淡度で又は前記酸素飽和度に応じて色分けして前記表示装置に表示させる、 The image region corresponding to the extracted data group is displayed on the display device with color depending on the lightness according to the oxygen saturation or according to the oxygen saturation,
請求項７に記載の情報処理装置。The information processing apparatus according to claim 7.
前記総血液量と第１閾値との比較により前記生体組織において前記総血液量が高い領域か否かを判定し、かつ前記酸素飽和度と第２閾値との比較により前記総血液量と前記第１閾値との比較を行った前記生体組織において前記酸素飽和度が高い領域か否かを判定し、前記判定の結果に基づいて前記生体組織の状態を分類する、 It is determined whether the total blood volume is a region where the total blood volume is high in the living tissue by comparing the total blood volume with the first threshold value, and comparing the total blood volume with the first threshold value by comparing the oxygen saturation with a second threshold value. Determining whether or not the oxygen saturation level is high in the biological tissue compared with the threshold value, and classifying the state of the biological tissue based on the determination result;
請求項７又は請求項８に記載の情報処理装置。The information processing apparatus according to claim 7 or 8.
前記総血液量が高くないと判定した低血液量となる画像領域でかつ前記酸素飽和度が高くないと判定した低酸素飽和度となる画像領域を、他の画像領域と識別できるように前記表示装置に表示させる、 The image area having a low blood volume determined not to have a high total blood volume and the image area having a low oxygen saturation determined to have a low oxygen saturation to be distinguishable from other image areas. Display on the device,
請求項９に記載の情報処理装置。The information processing apparatus according to claim 9.
前記総血液量が高いと判定した高血液量となる画像領域でかつ前記酸素飽和度が高くないと判定した低酸素飽和度となる画像領域を、他の画像領域と識別できるように前記画像表示装置に表示させる、 The image display so that an image region having a high blood volume determined to have a high total blood volume and a low oxygen saturation level having been determined not to have a high oxygen saturation can be distinguished from other image regions. Display on the device,
請求項９又は請求項１０に記載の情報処理装置。The information processing apparatus according to claim 9 or 10.
前記抽出データ群について、前記総血液量及び前記酸素飽和度の閾値の論理積により個々のデータを識別する、 For the extracted data group, individual data is identified by a logical product of the total blood volume and the oxygen saturation threshold value.
請求項７から請求項１１の何れか一項に記載の情報処理装置。The information processing apparatus according to any one of claims 7 to 11.
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| JP2017226397A JP6650919B2 (en) | 2017-11-27 | 2017-11-27 | Diagnostic system and information processing device |
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| JP2017226397A JP6650919B2 (en) | 2017-11-27 | 2017-11-27 | Diagnostic system and information processing device |
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| JP2013113017A Division JP2014230647A (en) | 2013-05-29 | 2013-05-29 | Display device, display method, and display program |
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| JP2018027401A JP2018027401A (en) | 2018-02-22 |
| JP2018027401A5 true JP2018027401A5 (en) | 2018-05-17 |
| JP6650919B2 JP6650919B2 (en) | 2020-02-19 |
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| WO2024111349A1 (en) * | 2022-11-22 | 2024-05-30 | 富士フイルム株式会社 | Medical image recognition device, endoscopy system, and operation method for medical image recognition device |
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| JP5767775B2 (en) * | 2009-07-06 | 2015-08-19 | 富士フイルム株式会社 | Endoscope device |
| JP5389742B2 (en) * | 2009-09-30 | 2014-01-15 | 富士フイルム株式会社 | Electronic endoscope system, processor device for electronic endoscope, and method for operating electronic endoscope system |
| JP5393554B2 (en) * | 2010-03-23 | 2014-01-22 | 富士フイルム株式会社 | Electronic endoscope system |
| JP5395725B2 (en) * | 2010-04-05 | 2014-01-22 | 富士フイルム株式会社 | Electronic endoscope system |
| JP5303012B2 (en) * | 2010-12-15 | 2013-10-02 | 富士フイルム株式会社 | Endoscope system, processor device for endoscope system, and method for operating endoscope system |
| JP5222934B2 (en) * | 2010-12-21 | 2013-06-26 | 富士フイルム株式会社 | Endoscope system, processor device for endoscope system, and method for operating endoscope system |
| JP5426620B2 (en) * | 2011-07-25 | 2014-02-26 | 富士フイルム株式会社 | Endoscope system and method for operating endoscope system |
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