[go: up one dir, main page]

WO1999023940A1 - Systeme d'imagerie non invasif pour ecoulement sanguin turbulent - Google Patents

Systeme d'imagerie non invasif pour ecoulement sanguin turbulent Download PDF

Info

Publication number
WO1999023940A1
WO1999023940A1 PCT/US1997/020186 US9720186W WO9923940A1 WO 1999023940 A1 WO1999023940 A1 WO 1999023940A1 US 9720186 W US9720186 W US 9720186W WO 9923940 A1 WO9923940 A1 WO 9923940A1
Authority
WO
WIPO (PCT)
Prior art keywords
patient
sensors
blood flow
sounds
iii
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/US1997/020186
Other languages
English (en)
Inventor
Charles E. Chassaing
Scott Donaldson Stearns
Mark Harold Vanhorn
Carl Ashley Ryden
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
MedAcoustics Inc
Original Assignee
MedAcoustics Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by MedAcoustics Inc filed Critical MedAcoustics Inc
Priority to PCT/US1997/020186 priority Critical patent/WO1999023940A1/fr
Priority to AU52471/98A priority patent/AU5247198A/en
Priority to EP97947373A priority patent/EP1030592A4/fr
Priority to US09/188,434 priority patent/US6193668B1/en
Priority to US09/293,199 priority patent/US6243599B1/en
Publication of WO1999023940A1 publication Critical patent/WO1999023940A1/fr
Anticipated expiration legal-status Critical
Priority to US09/828,565 priority patent/US6574494B2/en
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S15/00—Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
    • G01S15/88—Sonar systems specially adapted for specific applications
    • G01S15/89—Sonar systems specially adapted for specific applications for mapping or imaging
    • G01S15/8906—Short-range imaging systems; Acoustic microscope systems using pulse-echo techniques
    • G01S15/8979—Combined Doppler and pulse-echo imaging systems
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B7/00—Instruments for auscultation
    • A61B7/02—Stethoscopes
    • A61B7/04—Electric stethoscopes
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/52—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00
    • G01S7/52017—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00 particularly adapted to short-range imaging
    • G01S7/52023—Details of receivers
    • G01S7/52036—Details of receivers using analysis of echo signal for target characterisation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/44—Constructional features of the ultrasonic, sonic or infrasonic diagnostic device
    • A61B8/4405—Device being mounted on a trolley
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S15/00—Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
    • G01S15/02—Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems using reflection of acoustic waves
    • G01S15/50—Systems of measurement, based on relative movement of the target
    • G01S15/52—Discriminating between fixed and moving objects or between objects moving at different speeds
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S15/00—Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
    • G01S15/88—Sonar systems specially adapted for specific applications
    • G01S15/89—Sonar systems specially adapted for specific applications for mapping or imaging
    • G01S15/8906—Short-range imaging systems; Acoustic microscope systems using pulse-echo techniques
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S15/00—Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
    • G01S15/88—Sonar systems specially adapted for specific applications
    • G01S15/89—Sonar systems specially adapted for specific applications for mapping or imaging
    • G01S15/8906—Short-range imaging systems; Acoustic microscope systems using pulse-echo techniques
    • G01S15/899—Combination of imaging systems with ancillary equipment
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S15/00—Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
    • G01S15/88—Sonar systems specially adapted for specific applications
    • G01S15/89—Sonar systems specially adapted for specific applications for mapping or imaging
    • G01S15/8906—Short-range imaging systems; Acoustic microscope systems using pulse-echo techniques
    • G01S15/8993—Three dimensional imaging systems
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/52—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00
    • G01S7/52017—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00 particularly adapted to short-range imaging
    • G01S7/5205—Means for monitoring or calibrating
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/52—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00
    • G01S7/52017—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00 particularly adapted to short-range imaging
    • G01S7/52053—Display arrangements
    • G01S7/52057—Cathode ray tube displays
    • G01S7/52073—Production of cursor lines, markers or indicia by electronic means
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/52—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00
    • G01S7/52017—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00 particularly adapted to short-range imaging
    • G01S7/52077—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00 particularly adapted to short-range imaging with means for elimination of unwanted signals, e.g. noise or interference
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/52—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00
    • G01S7/52017—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00 particularly adapted to short-range imaging
    • G01S7/52079—Constructional features

Definitions

  • the present invention relates generally to non-
  • occluded vessel may produce sounds which are
  • turbulent blood flow are known. See, e.g., Lees, et al . ,
  • This invention provides reliable, non-invasive
  • the shear wave component is
  • isolated shear wave component is processed to provide a
  • uniform display may indicate the presence of an occlusion
  • the invention may include sensor signal conditioning
  • the signal processing circuitry may be any circuitry
  • the invention may include means for enhancement of the
  • field refers to a volume of space
  • the wave front is
  • the source in relation to the array can be determined.
  • the location would have 3 dimensions either in Cartesian,
  • phase shifts between the sensors may be different.
  • the direction would have two angular dimensions in
  • the algorithm is typically called a delay and sum beamformer.
  • Steering Vector vector derived from a path model
  • Vessel Any part of the human circulatory system
  • Abnormal Blood Flow Any non-laminar, e.g.,
  • the array of sensors may be fixed
  • Phonocardiographv The graphic representation of the
  • phonocardiography also comprises
  • the vessels carrying blood toward the heart include the aorta and pulmonary artery.
  • the vessels carrying blood toward the heart include the
  • Algorithm A series of steps or a method to achieve
  • an information objective e.g., the identification or
  • Compression Wave wave which compresses the medium
  • Shear Wave A wave whose propagated disturbance is a
  • Beamformer n algorithm that defines or creates a beam.
  • Beamformin The process of selectively controlling
  • Beamforming is a search through 3-D
  • null In the context of this invention, null means
  • Null space is a vector subspace, if present, of a matrix.
  • the goal may be to place the null at the
  • the interfering signal e.g., a jammer
  • Velocity Filtering eans for separating wave forms
  • shear waves from compression waves as a
  • Figures 26A, B and C and Figure 27 illustrate of a three
  • the four dimension is wave speed.
  • Photogrammetry nalytic photogrammetry refers to
  • photogrammetry refers to the computer processing of
  • Extraction includes the steps of
  • Figure 1 is a front and side view of one form of a
  • Figure 2A is a view of a second form of a clinical
  • Figure 2B is a view of the Figure 2A form of the
  • Figure 3 is a schematic that depicts one form of a
  • Figure 4 illustrates a portion of the top surface of
  • Figure 5 depicts a five element preselected sensor
  • Figure 6 illustrates a prior art nine sensor array
  • Sensors 1-5 are positioned in an outer circle, sensors 6-
  • Figure 7 is a schematic block diagram that depicts
  • Figure 8 is schematic block diagram that depicts an
  • Figure 9 is a schematic block diagram that depicts
  • FIGS. 10 and 11 are circuit diagrams for the
  • Figure 12 is a plot of the beam steering angle 0 to
  • Figure 13 is a plot of the beam steering angle 0
  • Figure 14 is a plot of the beam steering angle 0
  • GN gain 1, 10,100, 1000 and 10,000.
  • Figure 15 is a plot comparing the beam steering
  • beamformer as a function of output from 0 to 1 from five
  • Figure 16 illustrates a frequency number
  • Figure 17 illustrates a frequency number
  • Figure 18 illustrates a windowed 2-D transform
  • Figure 19 is a stacked plot that depicts synthetic
  • Figure 20 is a stacked plot that depicts synthetic
  • Figure 21 is a plot of the beam steering angle 0
  • First, second, third and fourth nulls at 0.1, 0.3, 0.7
  • Figure 22 is similar to Figure 21 except that a
  • Figure 23 is a plot of the beam steering angle 0 to
  • Figure 24 is similar to Figure 23 except that a null
  • Figure 25 is similar to Figure 24, except that it
  • Figure 26A is an x-y background projection of a
  • Figure 26B is an x-z depth projection of a regularly
  • Figure 26C is a y-z depth projection of a regularly
  • Figure 27 displays the 3D grid points in three
  • Figure 28A is an x-y projection of a 4D optimally
  • Figure 28B is an x-z depth projection of a 4D
  • Figure 28C is a y-z depth projection of a 4D
  • Figure 29 is a 3D projection of the 4D grid onto
  • Figure 30 is the flow diagram or algorithm that
  • Figure 31 is a flow diagram that illustrates further
  • Figure 32 is a flow diagram that illustrates the
  • Figure 33 shows spectrograms ambient room noise
  • Figure 34 is a volumetric image of a computer
  • Figure 35 is a volumetric image of data obtained
  • severities levels of stenosis, i.e., 25%, 50%, 62%,
  • Figures 36A and 36B compare a volumetric acoustic
  • Figures 37A and 37B are volumetric images of a
  • Figure 38 depicts a comparison of acoustic features
  • Figure 40 is a flow chart that illustrates
  • Figure 41 is a flow chart or logic diagram that
  • Figure 42 is a flow chart which illustrates the
  • Figure 40 illustrates operations of one embodiment
  • Such relative locations may be determined
  • acoustic sensors may be any form of sensor suitable for
  • obtaining acoustic information but are preferably
  • This acoustic information preferably
  • ECG ECG
  • the acquired information regarding the sensors the
  • parsing of the data preferably includes isolating sensor data corresponding to the time period for the second
  • the sensor data could be
  • the averaged data is then beamformed (block 2008)
  • Figure 41 illustrates the averaging process
  • difference matrix may be determined as described above.
  • matrices are averaged (block 2028) . This averaging
  • phase difference matrices are then decomposed into their
  • This optimal grid provides search through
  • the grid is
  • the optimal grid may be
  • the 4D grid is then used to beamform through the
  • a new region or regions of interest may be
  • This new region of interest is preferably
  • the region of interest is the region of interest
  • gain grid may be precomputed or computed for each use.
  • the adjustable gain grid is also preferably
  • instructions may be provided to a processor to produce a
  • processor create means for implementing the functions
  • program instructions may be executed by a processor to
  • Figure 1 illustrates a preferred clinical
  • workstation configuration 110 which may include a
  • the rotating push dial 114 as shown, has no
  • switches 113 as shown, is a two-state (ON-OFF) device.
  • the data may be
  • operating system is a 32 -bit Microsoft NT workstation
  • Figures 2A and 2B are schematics that show a form of
  • Element 117 is
  • the element 119 has arms 120 foldable into
  • the acoustic imaging system processes signals
  • the sensors measure body surface response to
  • S/N signal to noise ratio
  • signal may also be included to provide a reference for
  • the sensors may be charge or voltage mode
  • Preferred individual sensors comprise a stretched
  • piezoelectric film transducer typically, the transducer
  • dimension width is less than one-half wavelength for the
  • Figure 5 illustrates a device 130 in which five
  • sensors 131 (one of five sensors) are fixed in a
  • the array includes a centrally positioned
  • the device 130 is operatively
  • FIG. 6 comprises eight equally spaced sensors
  • a ninth sensor is at the center of the
  • the sensors may be any suitable type of sensors.
  • the sensors may be any suitable type of sensors.
  • the sensors may be any suitable type of sensors.
  • acoustic imaging system may amplify the signals from the
  • the MUX box may include a
  • interface may be an analog interface circuit suitable for
  • ECG sensor interface is provided as a channel input to
  • the multiplexer such that when selected, the ECG sensor
  • output may be converted by the analog to digital converter from an analog signal to a digital signal.
  • a breath gating circuit which may be
  • the control logic may include circuitry for (i) gain
  • a filter which may be
  • multiple pole high pass filter such as a Butterworth or
  • the output of the filter is any suitable filter.
  • the output of the filter is any suitable filter.
  • the output of the analog to digital converter is buffered and provided to a digital I/O board resident
  • This sub-system may provide 16-bit A/D readings to the
  • the workstation of Figure 8 also includes an analog
  • the ECG sensors the ECG sensors and the respiration sensor.
  • analog sub-system may process this information in analog
  • the analog sub-system shown in Figure 8 includes a
  • digital I/O board may be a PC-DIO-24 board available from
  • the power sub-system illustrated in Figure 8 may be any power sub-system illustrated in Figure 8.
  • Input devices such as a keyboard, rotary dial and soft
  • switches may also be provided for receiving input from a
  • a removable media file or other storage device may be any removable media file or other storage device.
  • the Figure 8 power sub-system may be industry
  • the computer including the CRT display and
  • keyboard preferably is an industry standard, e.g., IBM
  • the sensors may be connected to the
  • analog sub-system which may output digital data
  • analog sub-system may be incorporated
  • FIGS. 10 and 11 are circuit diagrams for the
  • FIG. 10 depicts one of the 32 analog channels that
  • FIG 11 are the seven digital input "data request"
  • A/D Converter of ADC analog-to-digital converter
  • Figure 11 are digital buffers for output to the PC.
  • the system may execute a self-test each time it is
  • User controls may include a
  • the user access may be limited to
  • the patient may be a patient having ECG leads, and verifying the signals.
  • the patient may be a patient having ECG leads, and verifying the signals.
  • the patient may be a patient having ECG leads, and verifying the signals.
  • the patient may be a patient having ECG leads, and verifying the signals.
  • the patient may be a patient having ECG leads, and verifying the signals.
  • the patient may be a patient having ECG leads, and verifying the signals.
  • the system may record
  • the instrument may provide feedback to guide the
  • Preferred embodiments may provide real-time
  • the instrument may store acquired data over a
  • the data stored may contain a record which can be mapped
  • the instrument preferably
  • the system includes means to internally retain patient records.
  • the system may include means to internally retain patient records.
  • the system may include means to internally retain patient records.
  • the system may include means to internally retain patient records.
  • the system may include means to internally retain patient records.
  • the system may include means to internally retain patient records.
  • workstation may apply a fast executing (less than three
  • the workstation may execute
  • a copy of the patient's record may be
  • system may indicate if the storage medium is full and also warn the operator of an attempt to delete a record
  • the workstation may provide the
  • Equation 1 This matrix is shown by Equation 1:
  • Equation 2 Equation 2
  • IPM in Equation 2 becomes a function of both
  • IPM is a
  • the receiver signals are first ensembled to
  • the R matrix may be
  • interchannel phase difference matrices may be produced.
  • Equation 7 R matrices is given by Equation 7:
  • path model information is contained in steering vectors.
  • Equation 8 shows this different
  • the beamformer output can be computed.
  • Equation 9
  • Figures 12 and 13 are plots of a normalized
  • gain/resolution null space beamformer to acquire and process abnormal blood flow noise and image turbulent
  • blood flow may include:
  • the uniformly spaced three dimensional grid is
  • This space has dimensions in X, Y and Z of
  • each of the sensors may be determined using stereo
  • CCD charge coupled device
  • the cameras are rigidly mounted 18
  • Retro-reflective tape is affixed to the sensor tops
  • LEDs mounted around each camera's lens.
  • infrared filter is mounted in front of the camera lens.
  • the filter allows the reflected IR light to pass through

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Acoustics & Sound (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Surgery (AREA)
  • Molecular Biology (AREA)
  • Medical Informatics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
  • Ultra Sonic Daignosis Equipment (AREA)

Abstract

Cette invention concerne un procédé et un instrument non invasifs de détection et de localisation de débit sanguin anormal dans un vaisseau. Un ensemble aligné de capteurs (131) est disposé sur une zone du corps du patient située au-dessus d'un volume dans lequel le débit sanguin semble anormal. Les signaux détectés par cet ensemble de capteurs (131) sont traités et affichés sous forme d'une image qui indique la présence ou non d'un débit sanguin anormal.
PCT/US1997/020186 1997-11-10 1997-11-10 Systeme d'imagerie non invasif pour ecoulement sanguin turbulent Ceased WO1999023940A1 (fr)

Priority Applications (6)

Application Number Priority Date Filing Date Title
PCT/US1997/020186 WO1999023940A1 (fr) 1997-11-10 1997-11-10 Systeme d'imagerie non invasif pour ecoulement sanguin turbulent
AU52471/98A AU5247198A (en) 1997-11-10 1997-11-10 Non-invasive turbulent blood flow imaging system
EP97947373A EP1030592A4 (fr) 1997-11-10 1997-11-10 Systeme d'imagerie non invasif pour ecoulement sanguin turbulent
US09/188,434 US6193668B1 (en) 1997-11-10 1998-11-09 Acoustic sensor array for non-invasive detection of coronary artery disease
US09/293,199 US6243599B1 (en) 1997-11-10 1999-04-16 Methods, systems and computer program products for photogrammetric sensor position estimation
US09/828,565 US6574494B2 (en) 1997-11-10 2001-04-06 Methods, systems and computer program products for photogrammetric sensor position estimation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/US1997/020186 WO1999023940A1 (fr) 1997-11-10 1997-11-10 Systeme d'imagerie non invasif pour ecoulement sanguin turbulent

Related Child Applications (2)

Application Number Title Priority Date Filing Date
US09/188,434 Continuation US6193668B1 (en) 1997-11-10 1998-11-09 Acoustic sensor array for non-invasive detection of coronary artery disease
US09/188,510 Continuation US6278890B1 (en) 1997-11-10 1998-11-09 Non-invasive turbulent blood flow imaging system

Publications (1)

Publication Number Publication Date
WO1999023940A1 true WO1999023940A1 (fr) 1999-05-20

Family

ID=22262012

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US1997/020186 Ceased WO1999023940A1 (fr) 1997-11-10 1997-11-10 Systeme d'imagerie non invasif pour ecoulement sanguin turbulent

Country Status (3)

Country Link
EP (1) EP1030592A4 (fr)
AU (1) AU5247198A (fr)
WO (1) WO1999023940A1 (fr)

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000027287A1 (fr) 1998-11-09 2000-05-18 Medacoustics, Inc. Detection acoustique non invasive de coronaropathie
WO2016207092A1 (fr) * 2015-06-26 2016-12-29 Koninklijke Philips N.V. Système et procédé de production d'une image ultrasonore
EP3013220A4 (fr) * 2013-06-26 2017-03-29 Intel Corporation Détection d'indicateur prépondérant de risque d'accident vasculaire cérébral
US20170086703A1 (en) * 2014-03-26 2017-03-30 Koninklijke Philips N.V. Rheology system and mr rheology system with rheology sensor feedback control
WO2017222033A1 (fr) * 2016-06-24 2017-12-28 Canon Kabushiki Kaisha Appareil et procédé de traitement d'information
US10925573B2 (en) 2017-10-04 2021-02-23 Ausculsciences, Inc. Auscultatory sound-or-vibration sensor
US11045144B2 (en) 2017-10-20 2021-06-29 Ausculsciences, Inc. Coronary artery disease detection signal processing system and method
US11045163B2 (en) 2017-09-19 2021-06-29 Ausculsciences, Inc. Method of detecting noise in auscultatory sound signals of a coronary-artery-disease detection system
US11191486B2 (en) 2017-09-19 2021-12-07 Ausculsciences, Inc. System and method for detecting decoupling of an auscultatory sound sensor from a test-subject
US11284827B2 (en) 2017-10-21 2022-03-29 Ausculsciences, Inc. Medical decision support system
US11517289B2 (en) 2017-07-21 2022-12-06 Wuxi Hisky Medical Technologies Co., Ltd. Method and apparatus for acquiring motion information

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4586514A (en) * 1983-08-10 1986-05-06 Biotronics Instruments Phonoangiographic spectral analysing apparatus
US5109863A (en) * 1989-10-26 1992-05-05 Rutgers, The State University Of New Jersey Noninvasive diagnostic system for coronary artery disease
US5365937A (en) * 1992-09-09 1994-11-22 Mcg International, Inc. Disposable sensing device with contaneous conformance
US5638823A (en) * 1995-08-28 1997-06-17 Rutgers University System and method for noninvasive detection of arterial stenosis

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5327893A (en) * 1992-10-19 1994-07-12 Rensselaer Polytechnic Institute Detection of cholesterol deposits in arteries

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4586514A (en) * 1983-08-10 1986-05-06 Biotronics Instruments Phonoangiographic spectral analysing apparatus
US5109863A (en) * 1989-10-26 1992-05-05 Rutgers, The State University Of New Jersey Noninvasive diagnostic system for coronary artery disease
US5365937A (en) * 1992-09-09 1994-11-22 Mcg International, Inc. Disposable sensing device with contaneous conformance
US5638823A (en) * 1995-08-28 1997-06-17 Rutgers University System and method for noninvasive detection of arterial stenosis

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000027287A1 (fr) 1998-11-09 2000-05-18 Medacoustics, Inc. Detection acoustique non invasive de coronaropathie
EP3013220A4 (fr) * 2013-06-26 2017-03-29 Intel Corporation Détection d'indicateur prépondérant de risque d'accident vasculaire cérébral
US20170086703A1 (en) * 2014-03-26 2017-03-30 Koninklijke Philips N.V. Rheology system and mr rheology system with rheology sensor feedback control
US10918304B2 (en) * 2014-03-26 2021-02-16 Koninklijke Philips N.V. Rheology system and MR rheology system with rheology sensor feedback control
WO2016207092A1 (fr) * 2015-06-26 2016-12-29 Koninklijke Philips N.V. Système et procédé de production d'une image ultrasonore
WO2017222033A1 (fr) * 2016-06-24 2017-12-28 Canon Kabushiki Kaisha Appareil et procédé de traitement d'information
US11517289B2 (en) 2017-07-21 2022-12-06 Wuxi Hisky Medical Technologies Co., Ltd. Method and apparatus for acquiring motion information
US11191486B2 (en) 2017-09-19 2021-12-07 Ausculsciences, Inc. System and method for detecting decoupling of an auscultatory sound sensor from a test-subject
US11045163B2 (en) 2017-09-19 2021-06-29 Ausculsciences, Inc. Method of detecting noise in auscultatory sound signals of a coronary-artery-disease detection system
US11510644B2 (en) 2017-10-04 2022-11-29 Ausculsciences, Inc. Wiring harness for use with auscultatory sound-or-vibration sensors
US10925573B2 (en) 2017-10-04 2021-02-23 Ausculsciences, Inc. Auscultatory sound-or-vibration sensor
US11896420B2 (en) 2017-10-04 2024-02-13 Ausculsciences, Inc. Auscultatory sound-or-vibration sensor
US11045144B2 (en) 2017-10-20 2021-06-29 Ausculsciences, Inc. Coronary artery disease detection signal processing system and method
US11284827B2 (en) 2017-10-21 2022-03-29 Ausculsciences, Inc. Medical decision support system

Also Published As

Publication number Publication date
AU5247198A (en) 1999-05-31
EP1030592A1 (fr) 2000-08-30
EP1030592A4 (fr) 2004-04-07

Similar Documents

Publication Publication Date Title
US6278890B1 (en) Non-invasive turbulent blood flow imaging system
US6585647B1 (en) Method and means for synthetic structural imaging and volume estimation of biological tissue organs
US5727561A (en) Method and apparatus for non-invasive detection and analysis of turbulent flow in a patient's blood vessels
EP1579244B1 (fr) Outil de segmentation permettant d'identifier des regions de flux dans un systeme d'imagerie
US6371924B1 (en) Acoustic window identification
US7740584B2 (en) Method and system for mapping physiology information onto ultrasound-based anatomic structure
US6402693B1 (en) Ultrasonic transducer aligning system to replicate a previously obtained image
JP2011505951A (ja) 取得された画像データに反応するフィードバックを用いる微調整及び位置決め制御を持つロボット超音波システム
US9069062B2 (en) Surface rendering for volume data in an ultrasound system
WO1999023940A1 (fr) Systeme d'imagerie non invasif pour ecoulement sanguin turbulent
EP0477434B2 (fr) Analyse de signaux biologiques utilisant des données des réseaux de détecteurs
US12161449B1 (en) Systems, apparatuses, and methods for locating blood flow turbulence in the cardiovascular system
CA2677381A1 (fr) Procede et systeme pour l'evaluation regionale de la fonction pulmonaire
US20100228120A1 (en) System and method of positioning a sensor for acquiring a vital parameter of a subject
Saeidi et al. 3D heart sound source localization via combinational subspace methods for long-term heart monitoring
Owsley et al. Beamformed nearfield imaging of a simulated coronary artery containing a stenosis
EP1808122A2 (fr) Système d'imagerie de flux sanguin turbulent non invasif
Al-Jarrah et al. Novel hybrid computed axial phono-cardiac tomography system for heart sound sources localization
Tang et al. Deep learning radar for high-fidelity heart sound recovery in real-world scenarios
BAHADIRLAR et al. Cardiac passive acoustic localization: Cardiopal
US11412984B1 (en) Systems, apparatuses, and methods for establishing sensor positions on a human's body with an articulated conformal array
Abbas et al. Phonocardiography Acoustic Imaging and Mapping
Cailly et al. Accuracy and robustness of an air-ultrasound method for non-contact heart rate and heart rate variability measurements
WO2006124192A2 (fr) Procede et systeme pour la generation d'une image a partir d'ondes sonores de haute ou de basse frequence
McKee et al. Beam shape, focus index, and localization error for performance evaluation of a multisensor stethoscope beamformer

Legal Events

Date Code Title Description
WWE Wipo information: entry into national phase

Ref document number: 09188434

Country of ref document: US

AK Designated states

Kind code of ref document: A1

Designated state(s): AL AU BA BB BG BR CA CN CU CZ EE GE HU IL IS JP KP KR LC LK LR LT LV MD MG MK MN MX NO NZ PL RO SG SI SK SL TR TT UA US UZ VN YU

AL Designated countries for regional patents

Kind code of ref document: A1

Designated state(s): GH KE LS MW SD SZ UG ZW AM AZ BY KG KZ MD RU TJ TM AT BE CH DE DK ES FI FR GB GR IE IT LU MC NL PT SE BF BJ CF CG CI CM GA GN ML MR NE SN TD TG

121 Ep: the epo has been informed by wipo that ep was designated in this application
DFPE Request for preliminary examination filed prior to expiration of 19th month from priority date (pct application filed before 20040101)
NENP Non-entry into the national phase

Ref country code: KR

WWE Wipo information: entry into national phase

Ref document number: 1997947373

Country of ref document: EP

WWP Wipo information: published in national office

Ref document number: 1997947373

Country of ref document: EP

NENP Non-entry into the national phase

Ref country code: CA

WWW Wipo information: withdrawn in national office

Ref document number: 1997947373

Country of ref document: EP