WO2015106955A1 - Procédé de commande d'un système de traitement d'images vidéo, logiciel de commande de système de traitement d'images vidéo et système de vidéoendoscopie - Google Patents

Procédé de commande d'un système de traitement d'images vidéo, logiciel de commande de système de traitement d'images vidéo et système de vidéoendoscopie Download PDF

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Publication number
WO2015106955A1
WO2015106955A1 PCT/EP2015/000013 EP2015000013W WO2015106955A1 WO 2015106955 A1 WO2015106955 A1 WO 2015106955A1 EP 2015000013 W EP2015000013 W EP 2015000013W WO 2015106955 A1 WO2015106955 A1 WO 2015106955A1
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WO
WIPO (PCT)
Prior art keywords
image
video
enhancement
image processing
activation
Prior art date
Application number
PCT/EP2015/000013
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German (de)
English (en)
Inventor
Thorsten JÜRGENS
Peter Schouwink
Ilja KIPERMANN
Original Assignee
Olympus Winter & Ibe Gmbh
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Filing date
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Publication of WO2015106955A1 publication Critical patent/WO2015106955A1/fr

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Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
    • A61B1/00002—Operational features of endoscopes
    • A61B1/00004—Operational features of endoscopes characterised by electronic signal processing
    • A61B1/00009—Operational features of endoscopes characterised by electronic signal processing of image signals during a use of endoscope
    • A61B1/000095—Operational features of endoscopes characterised by electronic signal processing of image signals during a use of endoscope for image enhancement
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
    • A61B1/00002—Operational features of endoscopes
    • A61B1/00039—Operational features of endoscopes provided with input arrangements for the user
    • A61B1/00042—Operational features of endoscopes provided with input arrangements for the user for mechanical operation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
    • A61B1/06—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor with illuminating arrangements
    • A61B1/0655—Control therefor
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H04N23/71—Circuitry for evaluating the brightness variation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H04N23/76—Circuitry for compensating brightness variation in the scene by influencing the image signals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/60—Noise processing, e.g. detecting, correcting, reducing or removing noise

Definitions

  • a CCU typically has the ability to amplify the imager's signal with an automatic gain control (AGC) to produce a brighter image impression
  • AGC automatic gain control
  • AGC automatic gain control
  • the useful signal of a pixel containing the image information becomes smaller as the amount of light decreases
  • the noise signal of the pixel remains unchanged, which reduces the signal-to-noise ratio (SNR) as the amount of light decreases.
  • SNR signal-to-noise ratio
  • a CCU according to the prior art often has a so-called structural enhancement (SE) or a contrast enhancement (CE), which are also collectively referred to as image enhancement (IE)
  • SE structural enhancement
  • CE contrast enhancement
  • IE image enhancement
  • structural enhancement by using an edge filter emphasizes certain structures, such as vascularization patterns.
  • the image enhancement options used in the prior art are not networked with the existing systems. This can cause problems, as some functions cause opposing effects.
  • an activated image enhancement function will result in more perceived image noise depending on the intensity of the adjustment, since, for example, an edge filter enhances the differences in signal amplitudes of adjacent pixels due to noise.
  • noise suppression by low-pass filtering or artefacts due to inaccurately superimposed images results in a reduction in the perceptual resolution of the system.
  • the present invention is therefore based on the object of providing a method for controlling video image processing, image processing control software and a video endoscopy system, with which the disadvantages described above are eliminated.
  • This object of the invention is based on a method for controlling video image processing in a video endoscopy system with a video endoscope, a controllable in particular brightness, light source and a Videosentaufsacrificing, in which video signals of the video pickup an automatic gain control and / or noise reduction and / or an image enhancement, in particular in the form of a structure enhancement and / or a contrast enhancement, is applied, which is further developed by an activation level of the noise suppression and an activation level of the image enhancement, in particular an activation level of the structural enhancement and / or an activation level the contrast enhancement, in dependence on a current image brightness and / or on a current gain value of the automatic gain control and / or on a current viewing automatically adjusted.
  • the surgeon is relieved of the task, in addition to his actual activity, the endoscopic examination or treatment of a patient, also having to make all settings for image processing.
  • certain parameters are linked to each other in the CCU, which describe the current image situation and the desired result, so that the user an optimal combination of image enhancement functions, AGC gain adjustment and noise filtering achieved and a user error is avoided.
  • amplification or AGC amplification is understood to mean signal amplification, while image enhancement options are termed structural amplification or contrast enhancement.
  • the CCU makes an automatic adjustment of the image enhancement and noise suppression activation levels as a function of the object illumination and the observation or viewing distance on the basis of the corresponding parameters ensures that the user always has an image situation for him (brightness, viewing distance) ) receives optimized image.
  • an unnecessary limitation of the spatial resolution for example by a strong noise suppression, with sufficient image brightness and resulting good SNR avoided and on the other artifacts and amplification of image noise at a poor SNR by reducing image enhancement functions while activating or amplifying a noise suppression avoided.
  • the image situation expresses itself visibly for the surgeon in the current image brightness, which among other things depends on illumination, observation distance and addicted tissue.
  • the method according to the invention implements a fully automatic control of the image processing. This means that in every situation in the decision logic of the CCU it is decided, depending on the parameters image brightness, AGC amplification factor and / or current viewing distance, with which activation levels the image enhancement options are operated in order to obtain a clear picture in every situation.
  • the degrees of activation of the noise suppression and the image enhancement are changed in opposite directions. This avoids that the effects of image enhancement and noise suppression affect each other negatively. Depending on the picture situation, more emphasis is placed on noise reduction or image enhancement and the other parameter is used only attenuated until only one option is carried out in extreme situations.
  • Characteristics of the gradients of the activation levels of the noise suppression and of the image enhancement are preferably linear or nonlinear or the gradients of the degrees of activation of the noise suppression and of the image enhancement are stored as values in a lookup table. Linear characteristic curves are particularly easy to parametrize, non-linear characteristics can better compensate for non-linear effects in image processing.
  • an illumination value of the light source as a measure of a relative light emission. and / or set an exposure duration by means of an electric shutter and / or an amplification factor of the automatic gain control.
  • the CCU In order to determine the image brightness, the CCU, for example, monitors the average output voltage of the CCD over the entire image or in a specific part of the image, a so-called "area of interest.” If appropriate, the AGC control can also be selected as a substitute variable for the image brightness become.
  • the CCU may perform the following calculation. First, the CCU reads a value that can serve as a measure of the relative light output of the light source, for example, the aperture, the active light mode ("high”, “low"), the selected operating voltage or the selected operating current of the bulb or the duty cycle, with the used light source is driven out of the light source. In addition, the CCU evaluates the activation of the "Electrical Shutters" as well as the image brightness via the image or in a certain "Area of Interest".
  • the illumination value and / or the exposure duration and / or the gain factor on the one hand and the current image brightness in the entire video image or in a partial region of the video image on the other hand are preferably evaluated as a measure for estimating the current observation distance and from the difference between an expected image brightness and the measured image brightness the current observation distance is determined, in particular a ratio of expected and measured image brightness is formed as the observation distance measure.
  • the observation distance may also be a function of the illumination state, the exposure settings, and the actually observed Image brightness be parameterized, which is equivalent to a ratio of actual and expected image brightness, since both are model-based.
  • an automatic simultaneous and mutually dependent adjustment of amplification factor, degree of activation of the noise suppression, degree of activation of the structure amplification and degree of activation of the contrast enhancement continue as a function of at least one user-selectable parameter, in particular a presentation parameter with a selection of preset values.
  • the selection of preset values for the presentation parameter may include, for example, presets for rendering detailed structures, for rendering an overview with few structures, and a pre-set for balanced mediocrity between a low-level overview and a high-detail representation.
  • the parameters AGC, NR and IE or SE and CE are weighted differently and then individually adapted to the existing image situation.
  • the amplification factor and the activation levels of the noise suppression, the structure enhancement and the contrast enhancement are represented on a coordinate system, wherein the amplification factor and the degree of activation of the contrast enhancement on the positive and negative Are registered side of a first axis of the coordinate system and the degrees of activation of the structure gain and the noise suppression are recorded on the positive and negative side of a second axis of the coordinate system, where in a user-selectable parameter, a center of a selection circle or selection cross or a selection ellipse and optionally another user selectable parameter are a radius of the selection circle or the lengths of the semiaxis of the selection cross or the selection ellipse, wherein intersections of the selection circle with the positive and negative sides of the axes of the coordinate or Extremes of the selection circle in the direction of the axes of the coordinate system or the endpoints of the semiaxes of the selection cross or the selection ellipse form the
  • the surgeon does not have to worry about the degree of activation with which he must set the four different options individually, but all four parameters are set simultaneously, so that it is avoided that two different parameters are set so that their effects mutually cancel or a negative influence occurs.
  • Equivalent to the selection circle is a selection cross whose center is moved. This is the same as the case where the extreme values of the selection circle are used. The extreme values are to be understood in the context of the present application as in the direction of the two axes of the coordinate system, the values at 0 °, 90 °, 180 ° and 270 ° of the circle, seen from the positive horizontal axis, as a 0 ° direction.
  • the selection cross also has the same orientation as the coordinate system.
  • the semiaxes of the selection cross or circle may also be different lengths, so that, for example, an ellipse instead of a circle results.
  • a, in particular graphical, user interface is encompassed, by means of which a user can be shown a selection of preset or manually adjustable user-selectable parameters for image brightness and image processing.
  • FIG. 1 is a schematic representation of a erfindungsge- according to the video endoscopy system
  • FIG. 2 is an illustration of a functional dependency of degrees of activation according to the invention of various automatic image processing options on an image brightness
  • the video endoscope 20 is connected to the image processing control unit 30, which has on its front side via an operating unit 32 in the form of a touch screen, on which a graphical user interface (GUI) is shown, to which in the following
  • the image processing control unit 30 applies various processing options such as noise reduction, contrast enhancement, or the like to the image data from the imager in the video endoscope 20.
  • the thus processed image is sent to the monitor 40 via an image signal cable 41 on which the processed image is displayed ,
  • the CCU may also be integrated in the monitor 40 or vice versa.
  • the CCU also controls the image capture in the video endoscope 20, for example, by driving the "Electrical Shutters" and the automatic gain control (AGC).
  • AGC automatic gain control
  • FIG. 2 the functional relationship of the degree of activation of various image enhancement options with the image brightness is shown. With minimum image brightness, noise reduction is maximal because low image brightness is accompanied by high noise and a low signal-to-noise ratio. The characteristic curve for the noise suppression is shown linearly in FIG. Conversely, a contrast enhancement is also shown linearly but increasing. With minimal image brightness, there are few contrasts to amplify, and contrast enhancement would increase the perception of image noise.
  • FIGS. 3a) and 3b) show the functional dependencies of an example according to the invention of contrast enhancement, noise reduction, and structural enhancement versus AGC enhancement in FIGS. 3a) and As can be seen from Fig. 3a) are, as well as 2, the characteristics of the contrast enhancement and the noise suppression are linear, the dependency on the AGC gain being shown as a measure of the image brightness in FIG. 3a).
  • the AGC gain on the left side with "Off" is minimal, so it is a high amount of light available, resulting in a good signal-to-noise ratio, so that low noise suppression is necessary and high
  • the available amount of light decreases, the AGC gain increases and the signal-to-noise ratio decreases, and the hidden noise has to be absorbed by increased noise reduction and reduced contrast enhancement.
  • Fig. 3b it is shown that the structure gain does not depend linearly on the viewing distance.
  • Near point a strongly activated structure enhancement is observed, at medium distance this parameter is on a plateau at a medium level and is strongly minimized again to a high distance (“far point”).
  • far point a highlighting of fine structures in an overview representation, which is given when viewed with a large viewing distance, does not make sense. Only at a short distance to the investigated area, the fine structures that are to be reinforced, interesting, so that in this area, the structural reinforcement is particularly strong applied.
  • the setting of the activation level of noise reduction, contrast enhancement and texture enhancement can be set automatically depending on the image brightness, the AGC gain and / or the viewing distance, respectively. So can For example, the structure gain may be parametrized primarily as a function of the viewing distance and subordinate as a function of the brightness, the various functionalities being linked to one another in a multiplicative or additive manner or in another suitable manner.
  • Noise reduction and contrast enhancement can be obtained as parameterization from brightness and / or AGC amplification factor, where the image brightness is analyzed either in the overall image or in a sub-region of interest.
  • the parameters of AGC amplification factor and image brightness can be linked together multiplicatively or additively, or an average value with suitable weighting of the various contributions can be formed. Averaging with appropriate weighting also provides a way to calculate the degree of activation of the structure gain as a function of viewing distance and image brightness.
  • AGC limit an AGC gain adjustable limit value, in this case "AGC limit”
  • maximum contrast gain to be set on the negative side. Enhance a coordinate system 60 is shown.
  • GUI 5 shows the graphical user interface (GUI) of the operating unit 32 of the image processing control unit 30.
  • the GUI is horizontally divided into two areas, namely a control panel 33 with general settings and a control panel 34 with the possibility of selection
  • a control panel 33 with general settings
  • a control panel 34 with the possibility of selection
  • three preset settings 35 namely "D", "B” and "O” can be selected, which correspond to those from FIG
  • the Manual control panel has a manual setting of 36 with the letter M.
  • the option "O" is activated.
  • the right-hand control panel 33 shows three menu items, namely a brightness adjustment field 37, an exposure selection field 38 and a special selection field 39.
  • the brightness adjustment field 37 has an activated selection field "Auto", with which the displayed brightness is adjusted automatically, as well as via a virtual slider, with which a user can adjust the displayed brightness of the picture by himself / herself An operation of the virtual slider leads to a deactivation of the automatic brightness control.
  • the exposure selection field 38 offers three possibilities for controlling the exposure. "Peak” is a mode in which the brightest areas of the image determine how the exposure is set, and "AVG” (Average) is used to adjust the averaged image brightness.
  • HDR High Dynamic Range
  • HDR High Dynamic Range
  • the special selection field 39 is optional and contains some special functions.
  • NBI narrow band imaging, using specific blue and green wavelengths to emphasize certain details of the image, particularly used to darken blood vessels and highlight other details.
  • PPD stands for photodynamic diagnosis and is based on fluorescence diagnosis
  • ICG is an Indocyanine Green (ICG) -based fluorescence-based perfusion assessment in the near infrared range, if the endoscope is equipped for this purpose.
  • Fig. 6a) and Fig. 6b) show the principle of manual adjustment of the activation levels of structure enhancement, contrast enhancement, noise suppression and AGC limit.
  • a selection circuit 66 is shown, the center 67 is displaceable. With a shift of the center of the circle, the extrema of the selection circle 66, i. the endpoints of the semi-axes of the cross, which is located in the selection circle 66.
  • the extrema of the selection circle 66 i. the endpoints of the semi-axes of the cross, which is located in the selection circle 66.
  • Fig. 6a a situation similar to the preselection "detail" of Fig. 4 is shown, while in Fig. 6b) the situation is similar to that of the preset "Overview".
  • FIG. 7 shows various views of the GUI on the operating unit 32.
  • FIG. 7 a shows the coordinate system 60 in a selection field 70 for the coordinate system 60 in the region of the GUI in which the other selection areas for image brightness, exposure mode and special selection were also shown in FIG. 5.
  • 7a) shows an overview mode which is a default is selected with "O" as the active setting 76.
  • the corresponding values are displayed as an irregular quadrilateral on the coordinate system 60. Touching the rejection field 74 or deselection field 74 can be used in the Representation of Fig. 5 are changed back.
  • the manually set setting can be accepted, with the rejection field 74 can be jumped back to a preselection, for example, "B" or "O". Both fields 72, 74 result in operation back to the initial screen, which is shown in Fig. 7c) in turn. It can be seen from Fig. 7c) that the setting of the activation levels of image enhancement options has been manually selected. The displayed brightness is adjusted automatically and the selected exposure mode is "HDR".

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Abstract

Procédé de commande d'un système de traitement d'images vidéo dans un système de vidéoendoscopie (10) comportant un vidéoendoscope (20), une source de lumière pouvant être commandée, en particulier pour ce qui est de sa luminosité, et un dispositif d'enregistrement d'images vidéo dans lequel une commande automatique de gain (AGC) et/ou une réduction du bruit (NR) et/ou une amélioration de l'image (IE) en particulier sous forme d'un réhaussement de structure (SE) et/ou d'une amélioration de contraste (CE) est ou sont appliquée(s) sur les signaux vidéo du dispositif d'enregistrement vidéo. L'invention concerne en outre un logiciel de commande de système de traitement d'images vidéo avec un code programme, et un système de vidéoendoscopie (10). Selon ledit procédé, un degré d'activation de la réduction de bruit (NR) et un degré d'activation de l'amélioration d'image (IE), en particulier un degré d'activation du réhaussement de structure (SE) et/ou un degré d'activation de l'amélioration de contraste (CE) sont adaptés automatiquement en fonction d'une luminosité existante et/ou d'une valeur de gain présente de la commande automatique de gain (AGC) et/ou d'une mesure de distance d'observation actuelle.
PCT/EP2015/000013 2014-01-17 2015-01-07 Procédé de commande d'un système de traitement d'images vidéo, logiciel de commande de système de traitement d'images vidéo et système de vidéoendoscopie WO2015106955A1 (fr)

Applications Claiming Priority (2)

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DE102014200833.6 2014-01-17
DE102014200833.6A DE102014200833A1 (de) 2014-01-17 2014-01-17 Verfahren zur Steuerung einer Videobildverarbeitung, Bildverarbeitungssteuerungssoftware sowie Video-Endoskopiesystem

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Cited By (2)

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US11096553B2 (en) 2017-06-19 2021-08-24 Ambu A/S Method for processing image data using a non-linear scaling model and a medical visual aid system
CN113487498A (zh) * 2021-06-22 2021-10-08 南京诺源医疗器械有限公司 一种内视镜成像图像增强处理系统

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JPH09299325A (ja) * 1996-05-20 1997-11-25 Asahi Optical Co Ltd 電子内視鏡装置
EP1484002A1 (fr) * 2002-03-14 2004-12-08 Olympus Corporation Appareil de traitement d'image d'endoscope
DE102006022322A1 (de) * 2005-05-12 2006-11-16 Pentax Corp. Endoskopprozessor, Computerprogrammprodukt und Endoskopsystem
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US11096553B2 (en) 2017-06-19 2021-08-24 Ambu A/S Method for processing image data using a non-linear scaling model and a medical visual aid system
US20210345857A1 (en) * 2017-06-19 2021-11-11 Ambu A/S Method for processing image data using a non-linear scaling model and a medical visual aid system
US11930995B2 (en) 2017-06-19 2024-03-19 Ambu A/S Method for processing image data using a non-linear scaling model and a medical visual aid system
CN113487498A (zh) * 2021-06-22 2021-10-08 南京诺源医疗器械有限公司 一种内视镜成像图像增强处理系统

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