WO2015170959A1 - Système et procédé de détection et de mesure d'une région rétrécie d'un vaisseau sanguin à partir d'une image médicale - Google Patents

Système et procédé de détection et de mesure d'une région rétrécie d'un vaisseau sanguin à partir d'une image médicale Download PDF

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Publication number
WO2015170959A1
WO2015170959A1 PCT/MY2015/000027 MY2015000027W WO2015170959A1 WO 2015170959 A1 WO2015170959 A1 WO 2015170959A1 MY 2015000027 W MY2015000027 W MY 2015000027W WO 2015170959 A1 WO2015170959 A1 WO 2015170959A1
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WO
WIPO (PCT)
Prior art keywords
blood vessel
measuring
width
constricted region
diameter
Prior art date
Application number
PCT/MY2015/000027
Other languages
English (en)
Inventor
Chin Jou CHONG
Harjinthar Singh PRETUM SINGH
Mohamed Fraid NOOR BATCHA
Original Assignee
Mimos Berhad
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Filing date
Publication date
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Publication of WO2015170959A1 publication Critical patent/WO2015170959A1/fr

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Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/46—Ultrasonic, sonic or infrasonic diagnostic devices with special arrangements for interfacing with the operator or the patient
    • A61B8/461—Displaying means of special interest
    • A61B8/465—Displaying means of special interest adapted to display user selection data, e.g. icons or menus
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1076—Measuring physical dimensions, e.g. size of the entire body or parts thereof for measuring dimensions inside body cavities, e.g. using catheters
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/46—Arrangements for interfacing with the operator or the patient
    • A61B6/461—Displaying means of special interest
    • A61B6/463—Displaying means of special interest characterised by displaying multiple images or images and diagnostic data on one display
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/46—Arrangements for interfacing with the operator or the patient
    • A61B6/461—Displaying means of special interest
    • A61B6/465—Displaying means of special interest adapted to display user selection data, e.g. graphical user interface, icons or menus
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/46—Ultrasonic, sonic or infrasonic diagnostic devices with special arrangements for interfacing with the operator or the patient
    • A61B8/461—Displaying means of special interest
    • A61B8/463—Displaying means of special interest characterised by displaying multiple images or images and diagnostic data on one display
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03—Computed tomography [CT]
    • A61B6/037—Emission tomography

Definitions

  • the present invention relates to a system and method for diagnostic detection of a constricted region of a blood vessel, and more particularly, the present invention relates to a system and method for measuring the length of the constricted region in a blood vessel based on computer vision in medical image analysis.
  • a region of blood vessel becomes constricted or narrower when the lumen of a blood vessel is partially obstructed or locally reduced by compression which then leads to reduction in blood flow.
  • the obstructed or narrowed blood vessel may develop as the cholesterol-laden plaque deposits on the wall of the blood vessels.
  • the constricted region of blood vessel may result in various crucial diseases, such as heart diseases. Early diagnosis and detection of the blood vessel constriction therefore plays an important role as a precaution and preventive measures on the blood flow related diseases.
  • constricted blood vessel detection includes visual detection using medical imaging such as conventional ultrasound, duplex ultrasound, positron emission tomography (PET) and angiogram. Detection of the constricted region of the blood vessel is also conventionally performed via manual measurement using tools such as ruler, caliper and eyepiece micrometer.
  • the problem encountered by the manual detection is the vast amount of time required to detect the blockages blood stream, due to the fact that in an image there could be hundreds of blood vessels and it requires laborious efforts to detect constricted region in a blood vessel. Furthermore, the measurements may not be accurate and might be prone to human errors.
  • WO 2010/101660 A2 discloses a method for determining at least one feature including the diameter for indicating the thickening of the blood vessel within each of the plurality of regions, and defining the boundary of the portion of the vasculature based on the diameter each of the plurality of regions, wherein the boundary forms a volume defining a separation between inside and outside of the portion of the vasculature.
  • United States Patent No. US 8,437,520 B2 discloses a medical image processing method comprising the steps of extracting a longitudinal line from three-dimensional volume data for a medical image, generating multiple longitudinal cross-sectional images extending along the longitudinal line, generating multiple short-axis cross-sectional images intersecting the longitudinal line, detecting a specific structural element of the tubular structure from each of the plurality of short-axis cross-sectional images, wherein the structural element includes the calcification of the lumen; and a correction unit configured to correct the specific structural element detected from each of the multiple short-axis cross-sectional images on a basis of the multiple longitudinal cross-sectional images.
  • United States Patent No. US 8,538,105 B2 discloses a medical image processing apparatus.
  • An index value calculation unit of the apparatus calculates an index value representing a characteristic of a tubular structure according to a three-dimensional medical image in each direction of radial visual lines orthogonal to a core line of the tubular structure.
  • a map image generation unit generates a characteristic map image by mapping the index value calculated in each direction of the radial visual lines at each point on the core line to a coordinate plane defined by a first coordinate component representing a position in a direction of the core line and a second coordinate component representing a direction of each visual line.
  • It yet another objective of the present invention to provide a system and method for detecting the average diameter at different region of the blood vessel.
  • the present invention relates to a system for detecting and measuring a constricted region of a blood vessel from a medical image, comprising an acquisition module for acquiring a medical image from a medical imaging instrument or medical imaging database, an area selection module for selecting a region from the medical image which contains at least one blood vessel, and a detection module for determining a constricted region of the blood vessel.
  • the detection module further comprises a width measurement unit for measuring the width values of the blood vessel, a diameter calculation unit for determining the diameter of the blood vessel based on the measured width values, a comparison unit for computing the diameter difference in percentage as compared to a maximum diameter, a constriction length measurement unit for determining the length of the constricted region.
  • the detection module is a reference dependent detection module which comprises a reference selection unit for selecting reference points of the blood vessel for the measurement of width by the width measurement unit, and a decision unit for determining the constricted region of the blood vessel according the difference in percentage as obtained by the comparison unit.
  • the detection module is a reference independent detection module which comprises a transition detection unit for determining the constricted region and non-constricted region of the blood vessel based on the deviation between two neighboring widths as obtained from the width measuring unit, wherein the width measurement unit measures the width values of every cross sections along the blood vessel.
  • the present invention also relates to a method for detecting and measuring a constricted region in a blood vessel from a medical image, comprising the steps of obtaining a top boundary line, a bottom boundary line, and a radial line along the blood vessel from the medical image of the blood vessel, measuring the width of the blood vessel at a plurality of points by a width measuring unit, obtaining diameter of a single or a group of the plurality of points by a diameter calculation unit based on the widths obtained by the width measuring unit, computing the differences in percentage of the diameter from a maximum diameter by a comparison unit.
  • Figure 1 is a block diagram showing a system for detecting and measuring a constricted region of blood vessel according to the present invention.
  • Figure 2 is a flow chart showing a method for detecting and measuring a constricted region of blood vessel according to the present invention.
  • Figure 3 is a flow chart showing a method for detecting and measuring a constricted region of blood vessel via reference points according to an embodiment of the present invention.
  • Figure 4 is a flow chart showing a method for determining the number of constrictions and measuring respective lengths initiated from reference points of each constriction according to an embodiment of the present invention.
  • Figure 5 is a flow chart showing a method for detecting and measuring a constricted region of blood vessel continuously without reference points according to an embodiment of the present invention.
  • Figure 6 is a flow chart showing a method for detecting the regions of constricted blood vessel and regions of normal blood vessel without reference point according to an embodiment of the present invention.
  • the present invention relates to a system for detecting and measuring a constricted region of a blood vessel from a medical image.
  • the system comprises an acquisition module (10) for acquiring and retrieving a medical image from a medical imaging instrument or medical imaging database. Each of the medical images contains at least one blood vessel for further processing.
  • the acquired medical image from the acquisition module (10) is provided to an area selection module (20) for selecting a region from the medical image which contains at least one blood vessel.
  • a detection module (40, 50) is provided in the system for determining a constricted region of the blood vessel.
  • the area selection module (20) is connected to a preprocessing module (30), wherein the medical image is processed for better detection in subsequent stages.
  • the preprocessing module (30) comprises means for performing noise removal, image quality enhancement, blood vessel segmentation and feature extraction.
  • a detection module (40, 50) is provided for detecting normal blood vessels and constricted blood vessels from the acquired and processed medical image.
  • the detection module (40, 50) generally comprises a width measurement unit (42, 51) for measuring the width values of the blood vessel, a diameter calculation unit (43, 53) for determining the diameter of the blood vessel based on the measured width values, a comparison unit (45, 54) for computing the diameter difference in percentage as compared to a maximum diameter, a constriction length measurement unit (47, 55) for determining the length of the constricted region.
  • the detection module is selected from one of reference dependent detection module (40) and reference independent detection module (50).
  • a reference selection unit (41) is provided for selecting reference points of the blood vessel, wherein the selected reference points is subjected to measurement of width by the width measurement unit (42).
  • the diameter calculation unit (43) connected to the width measurement unit (42) determines the diameter of blood vessel at each of the selected reference points.
  • a maximum diameter detection unit (44) is provided for identifying the maximum diameter as obtained by the diameter calculation unit (43), and hence determines the normal blood vessel from all the diameter values.
  • the comparison unit (45) which is connected to the maximum diameter detection unit (44), computes the difference in percentage of the referenced normal blood vessel diameter value against the rest of the diameter values.
  • a decision unit (46) is provided for determining the constricted region of the blood vessel according to the diameter difference in percentage as obtained by the comparison unit (45).
  • the constriction length measurement unit (47) is connected to the decision unit (46) for determining the regions of constriction along the blood vessel and the length of the constricted region.
  • the width measurement unit (51) is provided for measuring the width at every cross section along the blood vessel.
  • a transition detection unit (52) is provided for determining the constricted region and non-constricted region of the blood vessel based on the deviation between two neighboring widths as obtained from the width measuring unit (51).
  • the diameter calculation unit (53) connected to the width transition detection unit (52) computes the diameter of each region detected as non-constricted and each region detected as constricted.
  • the comparison unit (54) provided in connection to the diameter calculation unit (53) computes the diameter difference in percentage of the non-constricted blood vessel diameter against the rest of the diameter values.
  • the constriction length measurement unit (55) is provided for measuring the constriction length for each region detected as constricted.
  • the present invention also relates to a method for detecting and measuring a constricted region in a blood vessel from a medical image, comprising the steps of obtaining a top boundary line, a bottom boundary line, and a radial line along the blood vessel from the medical image of the blood vessel, measuring the width of the blood vessel at a plurality of points by a width measuring unit (42, 51), obtaining diameter of a single or a group of the plurality of points by a diameter calculation unit (43, 53) based on the widths obtained by the width measuring unit (42, 51), computing the differences in percentage of the diameter from a maximum diameter by a comparison unit (54).
  • the method for detecting constriction is initiated with acquiring medical image by an acquisition module (10) from a medical imaging instrument or medical imaging database.
  • the method then proceeds to selecting a region from the medical image in which the selected blood vessel is identified and marked.
  • the preprocessing of the medical image then follows which include removing the background noise, enhancing the image contrast, segmenting the vessel, and obtaining top boundary lines and bottom boundary lines of the vessel and radial line through the vessels' length.
  • the method then proceeds to detection of the constricted region wherein the detection can be performed with or without reference. In the embodiment in which the detection is performed with reference, a plurality of points is selected as reference points via the reference selection unit (41).
  • the width measurement unit (42) measures the widths at the selected reference points follow by calculation of diameter based on the measured widths via the diameter calculation unit (43).
  • the maximum diameter detection unit (44) identifies the maximum diameter which will be used as reference normal blood vessel. The difference in percentage of the calculated diameter is computed against the maximum diameter via the comparison unit (45).
  • the reference points which belong to the non-constricted region and constricted region are then determined by the decision unit (46), based on the difference in percentage of the diameter from the maximum diameter.
  • the lengths of the constricted regions are measured by the constriction length measurement unit (47).
  • a reference selection unit (41) selects a plurality of points as reference points, wherein the plurality of points includes points at both the normal and constricted region of the blood vessel.
  • the total number of the reference points selected is indicated as P.
  • Reference lines are extrapolated across the blood vessel perpendicularly from each of the plurality of reference points to intersect the top boundary line and the bottom boundary line. The coordinates of the intersecting points between the radial line and P reference lines are obtained.
  • the method then proceeds with a first reference point for measurement of the widths for a total of N adjacent points.to the first reference point.
  • the diameter is then determined by averaging the widths for a total of N adjacent points.
  • the widths and diameter determination step is reiterated with the second reference point and so forth until all the P number of reference points has been measured in terms of widths and diameter. This is then followed by determining the maximum diameter which will be taken as the diameter of a reference normal blood vessel and will be used as comparison to compare with all other diameter obtained. The computation of the percentage of difference in diameter is then carried out by comparing the maximum diameter with the diameters of all other plurality of points.
  • the decision unit (46) determines each of the plurality of points of the blood vessel based on the percentage difference in diameter, the reference point of which the percentage difference in diameter exceeding a predetermined threshold value will be considered as constricted point and reference point of which the percentage difference in diameter is less than the threshold value will be considered as non-constricted point.
  • the number of the constricted points is then determined and the constricted regions of the blood vessel are then identified by extending diameter measurement from all the identified constricted points, and the lengths of all the constricted regions are measured.
  • Figure 4 shows a detailed process for identifying the constricted region from the constricted point as detected.
  • the total number of constricted points detected is indicated as Q.
  • the width measurement is carried out first in the backward along the radial line.
  • the variance of the measured width is calculated against the diameter of the constricted point to determine whether the variance exceeds a predetermined threshold value.
  • the measurement of the width stops when the variance exceeds the threshold value or the end of radial line is encountered.
  • the variance is less than the threshold value
  • measurement of width and determination of variance continue with the subsequent point until a stop to the constricted region is encountered.
  • the position where the measurement is stopped is marked and taken as the starting point of the constricted region of the first constricted point.
  • the measurement of the width and determination of variance is then reset to the first constricted point and proceeds now in forward direction. If the variance detected less than the threshold value, the measurement will proceed with subsequent point in the forward direction. Otherwise, the measurement of width and determination of variance is stopped and the variance is larger than the threshold value or when an end of the radial line is met.
  • the position where the measurement is stopped is marked and taken as the ending point of the constricted region of the first constricted point.
  • the method then proceeds with a second constricted point for determination of the starting point and the ending point of the constricted region of the second constricted point. With the consecutive order of measurement for all the Q number of constricted points, all the constricted regions can then be determined. If a constricted point is found within a previously identified constricted region, the method will proceeds to a subsequent constricted point.
  • the plurality of points comprises each point along the blood vessel radial line.
  • the width measurement is performed for one point and continues to the subsequent point until the end of radial line or when a fork is met.
  • the total number of points measured is recorded and indicated as R.
  • Constricted regions and non-constricted regions are detected via a transition detection unit (52).
  • the diameter at the constricted region and the diameter at the non-constricted region are calculated, wherein the width measurements along the region are averaged to obtain the diameter.
  • the maximum diameter value is obtained from the diameter as detected from all the regions of the blood vessel.
  • the percentage difference in diameter between the maximum diameter and the other diameters is computed via a comparison unit (54).
  • the lengths of constricted regions are measured by computing the distance between the starting point and ending point.
  • the process proceeds with the calculation of deviation of width measurement between the current point with the previous point. If the deviation exceeding a predetermined threshold value is encountered, the current position will be taken as the transition point, and the process proceeds with the subsequent point for the calculation of deviation of width measurements. Otherwise, the current position will be taken for determination of whether the point is an end of the transition. If the current position is not an end of the transition, it will be assigned into the same region. Otherwise, the current position is assigned into a subsequent region.
  • the point which has been assigned into a subsequent region will further be categorized into a non-constricted region if the slope of the current position is negative or a constricted region when the slope of the current position is positive.
  • the process is carried out for all the R number of points.

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Abstract

La présente invention concerne un système permettant de détecter et de mesurer une région rétrécie d'un vaisseau sanguin à partir d'une image médicale, caractérisé par une unité de mesure de largeur (42, 51 ) pour mesurer les valeurs de largeur du vaisseau sanguin, une unité de calcul du diamètre (43, 53) pour déterminer le diamètre du vaisseau sanguin sur la base des valeurs de largeur mesurées, une unité de comparaison (45, 54) pour calculer la différence de diamètre en pourcentage par rapport à un diamètre maximum, et une unité de mesure de longueur de rétrécissement (47, 55) pour déterminer la longueur de la zone rétrécie. La présente invention concerne en outre un procédé permettant de mesurer la largeur du vaisseau sanguin au niveau d'une pluralité de points par une unité de mesure de largeur (42, 51), d'obtenir un diamètre d'un seul point ou d'un groupe de la pluralité de points par une unité de calcul de diamètre (43, 53) en se basant sur les largeurs obtenues par l'unité de mesure de largeur (42, 51), et de calculer les différences en pourcentage du diamètre d'un diamètre maximal par une unité de comparaison (54).
PCT/MY2015/000027 2014-05-07 2015-04-30 Système et procédé de détection et de mesure d'une région rétrécie d'un vaisseau sanguin à partir d'une image médicale WO2015170959A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
MYPI2014701179 2014-05-07
MYPI2014701179A MY185729A (en) 2014-05-07 2014-05-07 A system and method for detecting and measuring a constricted region of a blood vessel from a medical image

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030208116A1 (en) * 2000-06-06 2003-11-06 Zhengrong Liang Computer aided treatment planning and visualization with image registration and fusion
JP2005198708A (ja) * 2004-01-13 2005-07-28 Toshiba Corp 血管狭窄率解析装置及び血管狭窄率解析方法
US20070197898A1 (en) * 2006-01-17 2007-08-23 Nikolaus Bolle Method for examination of vessels in a patient on the basis of image data recorded by means of a scanner within an examination area
US20070244393A1 (en) * 2004-06-03 2007-10-18 Mitsuhiro Oshiki Image Diagnosing Support Method and Image Diagnosing Support Apparatus
US20130116739A1 (en) * 2011-11-07 2013-05-09 Paieon Inc. Method and system for detecting and analyzing heart mecahnics

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030208116A1 (en) * 2000-06-06 2003-11-06 Zhengrong Liang Computer aided treatment planning and visualization with image registration and fusion
JP2005198708A (ja) * 2004-01-13 2005-07-28 Toshiba Corp 血管狭窄率解析装置及び血管狭窄率解析方法
US20070244393A1 (en) * 2004-06-03 2007-10-18 Mitsuhiro Oshiki Image Diagnosing Support Method and Image Diagnosing Support Apparatus
US20070197898A1 (en) * 2006-01-17 2007-08-23 Nikolaus Bolle Method for examination of vessels in a patient on the basis of image data recorded by means of a scanner within an examination area
US20130116739A1 (en) * 2011-11-07 2013-05-09 Paieon Inc. Method and system for detecting and analyzing heart mecahnics

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