WO2017060106A1 - Mobile ffr simulation - Google Patents

Mobile ffr simulation Download PDF

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Publication number
WO2017060106A1
WO2017060106A1 PCT/EP2016/072787 EP2016072787W WO2017060106A1 WO 2017060106 A1 WO2017060106 A1 WO 2017060106A1 EP 2016072787 W EP2016072787 W EP 2016072787W WO 2017060106 A1 WO2017060106 A1 WO 2017060106A1
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Prior art keywords
blood vessel
stenosis
blood
data
method according
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PCT/EP2016/072787
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French (fr)
Inventor
Holger Schmitt
Christian Haase
Hannes NICKISCH
Sven Prevrhal
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Koninklijke Philips N.V.
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/02Devices for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03Computerised tomographs
    • A61B6/032Transmission computed tomography [CT]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/0033Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/02007Evaluating blood vessel condition, e.g. elasticity, compliance
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6887Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
    • A61B5/6898Portable consumer electronic devices, e.g. music players, telephones, tablet computers
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7271Specific aspects of physiological measurement analysis
    • A61B5/7278Artificial waveform generation or derivation, e.g. synthesising signals from measured signals
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/74Details of notification to user or communication with user or patient ; user input means
    • A61B5/742Details of notification to user or communication with user or patient ; user input means using visual displays
    • A61B5/7425Displaying combinations of multiple images regardless of image source, e.g. displaying a reference anatomical image with a live image
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/50Clinical applications
    • A61B6/503Clinical applications involving diagnosis of heart
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/50Clinical applications
    • A61B6/504Clinical applications involving diagnosis of blood vessels, e.g. by angiography
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/50Clinical applications
    • A61B6/507Clinical applications involving determination of haemodynamic parameters, e.g. perfusion CT
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021Measuring pressure in heart or blood vessels
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/02Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/026Measuring blood flow
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/44Constructional features of the device for radiation diagnosis
    • A61B6/4417Constructional features of the device for radiation diagnosis related to combined acquisition of different diagnostic modalities
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/46Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment with special arrangements for interfacing with the operator or the patient
    • A61B6/461Displaying means of special interest
    • A61B6/462Displaying means of special interest characterised by constructional features of the display

Abstract

Stenosis information is obtained by obtaining photographic image data (302) from a displayed image of a blood vessel (103, 203) containing the stenosis. Contours of the blood vessel and the stenosis are detected and dimensions are estimated from the photographic image data. A blood vessel model is reconstructed and fractional flow reserve data is calculated using the blood vessel model.

Description

Mobile FFR simulation

FIELD OF THE INVENTION

The present invention generally relates to a method for obtaining stenosis information in a blood vessel comprising a stenosis, a portable mobile device and a computer program for obtaining stenosis information in a blood vessel comprising a stenosis.

BACKGROUND OF THE INVENTION

Traditionally, a stenosis (a lesion that forms a narrowing of a blood vessel) and its impact on blood flow is detected by catheterization, which measures pressure in the blood vessel before (proximal to) and behind (distal to) the stenosis. From the pressure measurements a fractional flow reserve (FFR) is calculated, which is the most used property to determine functional stenosis severity.

Recently non-invasive image-based stenosis detection and characterization methods have become available as well. These image-based methods are performed using 3D coronary artery models extracted from image volumes obtained by 3D imaging, for instance computed tomography (CT) imaging and usually will provide simulated FFR values.

Known image-based models require a high computational effort and are in some cases time consuming.

SUMMARY OF THE INVENTION

The present invention attempts to provide a simpler and less time consuming non-invasive alternative to the known FFR determination methods and systems.

Embodiments according to the present invention are directed to a method for obtaining stenosis information in a blood vessel comprising a stenosis. The method comprises the steps of displaying an initial image of an area of interest of a patient comprising at least the stenosis on a display unit; obtaining photographic data of the displayed image of the area of interest using a camera of a portable mobile device; estimating a blood vessel size from the photographic data; detecting contours of at least the blood vessel and the stenosis; reconstructing a blood vessel model based on the obtained photographic image data and the detected contours; simulating blood pressure values and blood flow values in the blood vessel proximal to and distal to the stenosis using at least the blood vessel model and the estimated blood vessel size; calculating a fractional flow reserve value from the simulated blood pressure values and blood flow values; and displaying the calculated fractional flow reserve value. In other words: a photograph is taken of the displayed image and a portable mobile device is used to analyze the image and determine the FFR values. As such, stenosis information is quickly and with low computational power by using a portable mobile device.

A preferred embodiment includes that wherein the initial image of the area of interest was obtained by 2D or 3D medical imaging data, preferably chosen from a group comprising X-ray imaging data, computed tomography imaging data or magnetic resonance imaging data. Such imaging data is of high quality and may form a good basis to obtain stenosis information from.

A further preferred embodiment includes that the blood vessel is displayed in an orientation such that an unobstructed view of the stenosis is displayed. This ensures that the stenosis data is accurate.

A further preferred embodiment includes that the photographic data comprises a still image or a series of still images. The still image may be manually or automatically selected from a series of still images.

A further preferred embodiment includes that the photographic data comprises temporal information relating to a time frame in which the photographic data was obtained and/or positional information relating to a spatial position in which the photographic data was obtained. This additional data may be used as input for reconstruction, modeling or calculation algorithms to obtain more accurate stenosis information with respect to a position or time frame.

A further preferred embodiment includes that the blood vessel size is estimated by detecting known structures in the photographic image data; comparing the detected known structures to typical dimensions of the known structures; and calculating a scale factor based on the compared dimensions. This is an automated procedure that may be performed quickly.

A further preferred embodiment includes that the blood vessel size was estimated or influenced by a user-defined scale factor. A user may define or correct the size by using his knowledge on interpreting medical images.

A further preferred embodiment includes that the contours of the blood vessel and/or the stenosis are automatically determined, preferably by a vesselness filter. Alternatively, the contours may be manually determined by a user or the automatic determination may be influenced or corrected by a user.

A further preferred embodiment includes that the calculated fractional flow reserve value are displayed as a single value distal to the stenosis or as a color coded pressure gradient along the blood vessel.

A further preferred embodiment includes that also a recommendation for further investigation is displayed.

Other, corresponding embodiments are directed towards a portable mobile device and a computer program product configured to perform the relevant steps of the method with.

Still further aspects and embodiments of the present invention will be appreciated by those of ordinary skill in the art upon reading and understanding the following detailed description. Numerous additional advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of preferred embodiments.

BRIEF DESCRIPTION OF THE DRAWINGS

The present invention is illustrated by drawings of which

Fig. 1 shows a schematic depiction of an embodiment of a method and device of the present invention using a 3D computed tomography image as an initial image.

Fig. 2 shows a schematic depiction of an embodiment of a method and device of the present invention using a 2D X-ray image as an initial image.

Fig. 3 shows a flowchart of an embodiment of a method according to the present invention.

The invention may take form in various components and arrangements of components, and in various process operations and arrangements of process operations. The drawings are only for the purpose of illustrating preferred embodiments and are not to be construed as limiting the invention. To better visualize certain features may be omitted or dimensions may be not be according to scale.

DETAILED DESRIPTION OF EMBODIMENTS

In radiology and cardiology departments, blood vessels, such as for instance coronary arteries, as imaged by imaging systems, such as for instance 3D x-ray, computed tomography (CT), magnetic resonance (MR), positron emission transmission (PET), single- photon emission computed tomography (SPECT), ultrasound (US) or combinations thereof, are displayed on screens with the intention to measure and assess the severity of a stenosis.

The most common way to express stenosis severity is fractional flow reserve (FFR), which is defined as the ratio of maximum blood flow distal to a stenotic lesion in a blood vessel to normal maximum flow in the same vessel: FFR = Pd/Pa ( Pd is the pressure distal to the lesion, Pa is the pressure proximal to the lesion).

The blood pressure may be measured in the artery using catheterization, but it may also be simulated using advanced models that analyze the imaging data and calculate simulated FFR (and/or other related blood flow or pressure) values. Depending on the used model and required accuracy, calculation of the FFR values may take between minutes and hours. However, processing time will reduce further with more advanced computational power and further improved models.

Normally, FFR is modeled using 3D image data, but recently it has become possible to also use 2D image data, such as 2D contrast-enhanced angiographic data. Under the right conditions (e.g. an unobstructed view of the stenosis and an optimal orientation of the blood vessel), FFR calculations may be obtained without the need to extract the full coronary tree and therefore require significantly less computational power. This insight lies at the basis of the present invention.

The present invention proposes to take the 2D approach further and simulate FFR values on portable mobile devices which use their built-in camera to capture the geometry of blood vessels and stenoses from any suitable display of medical imaging devices.

Current 3D models are complex and require high computational power and direct access to the original 3D image data. It is therefore the obvious choice to use a strong computer that is integrated in or directly connected to the imaging device to perform the modelling and the FFR calculations. A skilled person would not use a small mobile device to perform this task, but the inventive insight that 2D modeling, when done right, lowers the requirements for computational power such that becomes available for less powerful devices, such as mobile phones.

Figures 1 , 2 and 3 all illustrate the present invention and how it may be implemented. Of course, a skilled person would understand that the present invention may be implemented in different embodiments as well to achieve the same or similar result. Figures 1 and 2 show a schematic depiction of an embodiment of the present invention using a 3D computed tomography (Figure 1) and a 2D X-ray (Figure 2) image respectively as an initial image. Figure 3 shows a flowchart of a workflow according to the present invention.

First an initial image is obtained and displayed 301, for instance an image of an organ, such as a heart or a cardiac arterial system, or a section of a patient scanned in a CT imager 10 or an x-ray imager (20). In the present example, in one embodiment, an imaged heart 102 is presented in a 3D-like view, for instance a volume rendered image, on a display 101, for instance a monitor, where a stenosed blood vessel 103 is visible on the display 101. In another embodiment a 2D image, for instance a 2D contrast-enhanced angiogram, of a part of the cardiac vasculatory system 202 is visualized on a display 201. Also here a stenosed blood vessel 203 is clearly present. For the accuracy of the proposed method, it is important to display the artery in an orientation that allows for an unobstructed view of the lesion. This is especially important in case of a 2D image. It may be necessary to obtain images from multiple angles and then manually or automatically select the best image.

Next, photographic image data is obtained 302 of the initial image data. The photographic image data is acquired by using a camera that is integrated in a portable mobile device 105, 205. The portable mobile device 105, 205 may be a smartphone, tablet computer, augmented reality glasses, a computer with a built-in or attached camera 106, 206, e.g. a computer equipped with a webcam or a laptop with an integrated webcam or any other portable mobile device that integrates an adequate computer processor and a camera. The camera 106, 206 may be a photo camera and/or a camera to capture moving images. The photographic image data should include at least a section 104, 204 that includes the part of the blood vessel 103, 203 that includes the stenosis, for instance the relevant part of the coronary tree. In the context of the present invention photographic data is not restricted to a single photographic image. It may also be a series of images, such as in a movie or a series of temporarily spaced sequential images. Recording of a series of images (heart beat in angiography, rotation in CT) allows improved vessel reconstruction if combined with suitable tracking. Alternatively, the application on the portable mobile device could simply select the frame with highest image quality or the best orientation to show the blood vessel and the stenosis.

The photographic image data may also include temporal information relating to a time frame in which the photographic data was obtained and/or positional information relating to a spatial position in which the photographic data was obtained. This data may be used as additional input in later-discussed algorithms and models to improve their accuracy and/or reliability. The blood vessel and the stenosis are identified on the photographic image data by detecting 303 their contours 107, 207. The contours 107, 207 may be drawn manually by the user, or detected automatically, e.g. based on a vesselness filter. This part of the algorithm is the same as for FFR simulation based on 2D X-ray angiograms, and has been described in for instance, O. Wink, W.J. Niessen, M.A. Viergever, "Multi-scale vessel tracking", IEEE Transactions on Medical Imaging, vol. 23, no. 1, pp. 130-135, 2004.

Since the photographic image data is obtained using a portable mobile device, most likely held by a user, the distance between the display and the camera and/or the used zoom factor makes it difficult to assess the actual size of the blood vessel or stenosis.

Therefore, it is essential to estimate 304 the blood vessel size to build a realistic model of the geometry of the area of interest. The estimation may be done by the user providing a scale factor 304-4 or by analyzing the photographic image data to detect known features 304-1. This may be done automatically or user-defined or user-assisted. The size of these known features may then be compared 304-2 and related to typical sizes and lengths of organs, such as the myocardium, bones, blood vessels and the like. For instance a database of known organ dimensions may be consulted. A scale factor may then be calculated 304-3 based on the compared dimensions of the known features and the imaged features. For more accuracy multiple features may be compared and a (weighted) average of a scale factor for each feature might be used.

Next a 3D artery model is reconstructed 305 from the photographic data using the detected contours and scale factor. Known algorithms may be used to reconstruct the 3D model from the 2D data. A 3D model may be built assuming a circular vessel cross section with the diameter obtained during the contour step (O. Wink, W.J. Niessen, M.A. Viergever, "Multi-scale vessel tracking", IEEE Transactions on Medical Imaging, vol. 23, no. 1, pp. 130-135, 2004), or using videodensitometry based methods (e.g., J. Haase et al,

"Quantification of intracoronary volume by videodensitometry: Validation study using fluid filling of human coronary casts", Catheterization and Cardiovascular Diagnosis, vol. 33, no. l, pp. 89-94, 1994).

In the next step blood pressure and blood flow values are simulated 306 proximal and distal to the stenosis using known algorithms, for instance as described in Van de Vosse, "Mathematical modelling of the cardiovascular system", Journal of Engineering Mathematics, vol. 47, pp. 175-183, 2003; Kim et al, "Patient-specific modeling of blood flow and pressure in human coronary arteries", Annals of Biomedical Engineering, vol. 38, no. 10, pp. 3195-3209; or Smith et al, "An anatomically based model of transient coronary blood flow in the heart", SIAM Journal on Applied Mathematics, vol. 62, no. 3, pp. 990- 1018.

Also here the detected contours and scale factor need to be used as additional input in these algorithms. From the blood pressure and blood flow values a simulated FFR value is calculated 308.

The FFR values are then displayed 307 to the user, preferably on the display of the portable mobile device 105, 205. This may be done, for example, as a color coded gradient of pressure along the vessel 108, 208 and/or as a single value for a location distal to the stenosis 109, 209.

Other information may be displayed as well. For instance, a warning indication (e.g. visual or auditory) that an FFR value is below a certain threshold (e.g. 0.8), which would indicate that the stenosis is severe and treatment must be started. Additionally or alternatively, the user may be prompted to perform a more traditional non- invasive or invasive procedure if the values are below or near the threshold to obtain more, potentially improved, stenosis data.

The steps of capturing photographic data to simulating and displaying an FFR data may be embedded in software code loaded on the portable mobile device 105, 205, for instance in the form of an app or a computer program, or loaded on a remote workstation with which the portable mobile device, such as a mobile phone, is in wireless or wired contact.

While the invention has been illustrated and described in detail in the drawings and foregoing description, such illustration and description are to be considered illustrative or exemplary and not restrictive; the invention is not limited to the disclosed embodiments.

For instance, the invention is certainly not limited to the presented embodiments. For instance, the present invention would be suitable for any other initial image of a stenosed blood vessel obtained by any other suitable technique, for instance MR, PET, SPECT, Ultrasound or any other imaging modality that could provide an image suitable for use with this invention.

Furthermore, in addition to FFR simulations, other hemodynamic measures (e.g. CFR, HSR) or parameters like flow velocity or myocardial resistance could be extracted from the fluid dynamics simulations on the portable mobile device. To improve the simulation accuracy, the portable mobile device may capture additional measured values like aortic or distal pressure from the same or from other displays and include these

measurements in the simulation. Other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed invention, from a study of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the indefinite article "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measured cannot be used to advantage. A computer program may be stored/distributed on a suitable medium, such as an optical storage medium or a solid-state medium supplied together with or as part of other hardware, but may also be distributed in other forms, such as via the Internet or other wired or wireless telecommunication systems. Any reference signs in the claims should not be construed as limiting the scope.

Claims

CLAIMS:
1. Method for obtaining stenosis information in a blood vessel comprising a stenosis, comprising the steps of:
displaying an initial image of an area of interest of a patient comprising at least the stenosis on a display unit;
- obtaining photographic data of the displayed initial image of the area of interest using a camera of a portable mobile device;
estimating a blood vessel size from the photographic data;
detecting contours of at least the blood vessel and the stenosis; reconstructing a blood vessel model based on the obtained photographic image data and the detected contours;
simulating blood pressure values and blood flow values in the blood vessel proximal to and distal to the stenosis using at least the blood vessel model and the estimated blood vessel size;
calculating a fractional flow reserve value from the simulated blood pressure values and blood flow values;
displaying the calculated fractional flow reserve value.
2. Method according to claim 1, wherein the initial image of the area of interest was obtained by 2D or 3D medical imaging data, preferably chosen from a group comprising X-ray imaging data, computed tomography imaging data or magnetic resonance imaging data.
3. Method according to claim 1 or 2, wherein the blood vessel is displayed in an orientation such that an unobstructed view of the stenosis is displayed.
4. Method according to any of the previous claims, wherein the photographic data comprises a still image or a series of still images.
5. Method according to claim 4, wherein the still image is manually or automatically selected from a series of still images.
6. Method according to any of the previous claims, wherein the photographic data comprises temporal information relating to a time frame in which the photographic data was obtained and/or positional information relating to a spatial position in which the photographic data was obtained.
7. Method according to any of the previous claims, wherein the blood vessel size is estimated by
detecting known structures in the photographic image data;
comparing the detected known structures to typical dimensions of the known structures; and
calculating a scale factor based on the compared dimensions.
8. Method according to any of the previous claims, wherein the blood vessel size was estimated or influenced by a user-defined scale factor.
9. Method according to any of the previous claims, wherein the contours of the blood vessel and/or the stenosis are manually determined.
10. Method according to any of the claims 1 to 8, wherein the contours of the blood vessel and/or the stenosis are automatically determined, preferably by a vesselness filter.
11. Method according to any of the previous claims, wherein the calculated fractional flow reserve value are displayed as a single value distal to the stenosis or as a color coded pressure gradient along the blood vessel.
12. Method according to any of the previous claims, wherein also a
recommendation for further investigation is displayed.
13. Portable mobile device comprising:
a camera for obtaining photographic image data from a displayed initial image data of at least a section of a blood vessel comprising a stenosis;
a blood vessel size estimator for estimating a blood vessel size from the obtained photographic image data;
a contour determiner for detecting a contour of the blood vessel contour and of the stenosis from the obtained photographic image data;
a reconstructor for reconstructing a blood vessel model based on the obtained photographic image data and the detected contours;
a simulator for simulating blood pressure values and blood flow values in the blood vessel proximal to and distal to the stenosis using at least the blood vessel model and the estimated blood vessel size;
a calculator for calculating a fractional flow reserve value from the simulated blood pressure values and blood flow values;
a display for displaying the calculated fractional flow reserve value or a connection to an external display for displaying the calculated fractional flow reserve value.
14. Portable mobile device according to claim 10 being a mobile phone, a tablet computer, augmented reality glasses or visors or a camera-equipped desktop or laptop computer.
15. A computer program for obtaining stenosis information in a blood vessel comprising a stenosis; the program comprising software code adapted to perform the steps of:
obtaining, from a portable mobile device, photographic data of a displayed initial image data of at least a section of a blood vessel comprising a stenosis;
estimating a blood vessel size from the obtained photographic image data; - detecting a contour of the blood vessel contour and of the stenosis from the obtained photographic image data;
simulating blood pressure values and blood flow values in the blood vessel proximal to and distal to the stenosis using at least the blood vessel model and the estimated blood vessel size;
- calculating a fractional flow reserve value from the simulated blood pressure values and blood flow values;
providing the calculated fractional flow reserve value to a display unit.
PCT/EP2016/072787 2015-10-07 2016-09-26 Mobile ffr simulation WO2017060106A1 (en)

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Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040114717A1 (en) * 2002-07-29 2004-06-17 Kabushiki Kaisha Toshiba Apparatus and method for processing X-ray images
JP2005216011A (en) * 2004-01-29 2005-08-11 Ntt Communications Kk Questionnaire system and display method for questionnaire information
JP2006198296A (en) * 2005-01-24 2006-08-03 Taito Corp Game machine with two-dimensional bar code preparation function and system of accessing web content linked with the game machine
KR101258961B1 (en) * 2011-11-18 2013-04-29 서울과학기술대학교 산학협력단 The apparatus and method of augmented reality of bodily tissue with smartphone
US20130314388A1 (en) * 2012-05-22 2013-11-28 Ricoh Company, Ltd. Image processing system, image processing method, and computer program product
US20140024932A1 (en) * 2012-07-09 2014-01-23 Siemens Aktiengesellschaft Computation of Hemodynamic Quantities From Angiographic Data
US20140249399A1 (en) * 2013-03-04 2014-09-04 Siemens Aktiengesellschaft Determining Functional Severity of Stenosis
US20150089337A1 (en) * 2013-09-25 2015-03-26 Heartflow, Inc. Systems and methods for validating and correcting automated medical image annotations

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040114717A1 (en) * 2002-07-29 2004-06-17 Kabushiki Kaisha Toshiba Apparatus and method for processing X-ray images
JP2005216011A (en) * 2004-01-29 2005-08-11 Ntt Communications Kk Questionnaire system and display method for questionnaire information
JP2006198296A (en) * 2005-01-24 2006-08-03 Taito Corp Game machine with two-dimensional bar code preparation function and system of accessing web content linked with the game machine
KR101258961B1 (en) * 2011-11-18 2013-04-29 서울과학기술대학교 산학협력단 The apparatus and method of augmented reality of bodily tissue with smartphone
US20130314388A1 (en) * 2012-05-22 2013-11-28 Ricoh Company, Ltd. Image processing system, image processing method, and computer program product
US20140024932A1 (en) * 2012-07-09 2014-01-23 Siemens Aktiengesellschaft Computation of Hemodynamic Quantities From Angiographic Data
US20140249399A1 (en) * 2013-03-04 2014-09-04 Siemens Aktiengesellschaft Determining Functional Severity of Stenosis
US20150089337A1 (en) * 2013-09-25 2015-03-26 Heartflow, Inc. Systems and methods for validating and correcting automated medical image annotations

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
J. HAASE ET AL.: "Quantification of intracoronary volume by videodensitometry: Validation study using fluid filling of human coronary casts", CATHETERIZATION AND CARDIOVASCULAR DIAGNOSIS, vol. 33, no. 1, 1994, pages 89 - 94
KIM ET AL.: "Patient-specific modeling of blood flow and pressure in human coronary arteries", ANNALS OF BIOMEDICAL ENGINEERING, vol. 38, no. 10, pages 3195 - 3209, XP019811680
O. WINK; W.J. NIESSEN; M.A. VIERGEVER: "Multi-scale vessel tracking", IEEE TRANSACTIONS ON MEDICAL IMAGING, vol. 23, no. 1, 2004, pages 130 - 135
SMITH ET AL.: "An anatomically based model of transient coronary blood flow in the heart", SIAM JOURNAL ON APPLIED MATHEMATICS, vol. 62, no. 3, pages 990 - 1018
VAN DE VOSSE: "Mathematical modelling of the cardiovascular system", JOURNAL OF ENGINEERING MATHEMATICS, vol. 47, 2003, pages 175 - 183

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