CN113397580A - AVM model construction method based on hemodynamics analysis - Google Patents

AVM model construction method based on hemodynamics analysis Download PDF

Info

Publication number
CN113397580A
CN113397580A CN202110853909.1A CN202110853909A CN113397580A CN 113397580 A CN113397580 A CN 113397580A CN 202110853909 A CN202110853909 A CN 202110853909A CN 113397580 A CN113397580 A CN 113397580A
Authority
CN
China
Prior art keywords
blood flow
hemodynamic
model
analysis
avm
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.)
Pending
Application number
CN202110853909.1A
Other languages
Chinese (zh)
Inventor
赵继宗
叶迅
赵元立
王亮
王昊
康帅
鲁峻麟
孔德生
梁剑峰
张俊
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.)
Beijing Tiantan Hospital
Original Assignee
Beijing Tiantan Hospital
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 Beijing Tiantan Hospital filed Critical Beijing Tiantan Hospital
Priority to CN202110853909.1A priority Critical patent/CN113397580A/en
Publication of CN113397580A publication Critical patent/CN113397580A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • 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
    • A61B5/00Measuring 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
    • A61B5/0263Measuring blood flow using NMR
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/05Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A61B5/055Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves  involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
    • 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
    • A61B6/501Clinical applications involving diagnosis of head, e.g. neuroimaging, craniography
    • 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
    • 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
    • G16H30/00ICT specially adapted for the handling or processing of medical images
    • G16H30/20ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS

Abstract

The invention provides an AVM model construction method based on hemodynamic analysis, which comprises the steps of reconstructing CT, nuclear magnetism and DSA original data, performing hemodynamic analysis on the DSA data, defining hemodynamic characteristics of different positions of malformed blood supply artery, malformed corpuscle, drainage vein and the like, giving different colors, fusing the different colors to a three-dimensional reconstructed arteriovenous malformation model in a multi-mode manner, and printing on a computer to obtain an arteriovenous malformation model capable of visually reflecting the hemodynamic characteristics. The AVM model construction method based on the hemodynamic analysis, provided by the invention, obtains the arteriovenous malformation image data of a clinical patient by virtue of the iconography examination, performs the hemodynamic analysis by utilizing the color blood flow coding perfusion technology, distinguishes and expresses the blood flow characteristics by visual gradient colors, performs three-dimensional reconstruction and 3D prints out an arteriovenous malformation model, and can be used for preoperative simulation and rehearsal, reduce the surgical risk and enhance the confidence of doctors.

Description

AVM model construction method based on hemodynamics analysis
Technical Field
The invention relates to a model construction method, in particular to an AVM model construction method based on hemodynamics analysis.
Background
Arteriovenous malformations (AVMs) are abnormal connections between cerebral arteries and veins, and there is no capillary connection between the cerebral arteries and the cerebral veins, resulting in malformed masses in which the arteries are shunted directly to the veins. Bleeding from arteriovenous malformations is the leading cause of death, and is the most complex of cerebrovascular diseases, with not only multiple blood supplies and drains, but also complex hemodynamic changes.
The cerebral arteriovenous malformation has different sizes, positions, forms, blood supply arteries and drainage veins, and completely identical arteriovenous malformations do not exist, so the treatment difficulty is high, and the treatment of the cerebral arteriovenous malformations comprises the following steps: surgical resection, interventional embolization, and radiation therapy or combination therapy. The cerebral arteriovenous malformation operation is the most difficult operation in the angiopathy operation, is much more difficult than the aneurysm operation, and requires years of operation training and experience of an operating doctor.
The prerequisite condition of the operation of arteriovenous malformation is that the size, characteristics, position and relation of arteriovenous malformation and peripheral tissues, position and relation of blood supply artery and drainage vein, and hemodynamics characteristics of arteriovenous malformation are also very important in malformation operation. According to the traditional method, a doctor needs to construct a three-dimensional arteriovenous malformation model in the brain and sea according to a two-dimensional clinical image picture, the method has limitations, and the hemodynamic characteristics of arteriovenous malformation are difficult to conceive, so that high requirements are provided for the professional knowledge and clinical experience of the doctor.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, provides an AVM model construction method based on hemodynamic analysis, and solves the problem that the existing three-dimensional arteriovenous malformation model is difficult to construct.
In order to solve the technical problems, the invention provides the following technical scheme:
an AVM model construction method based on hemodynamics analysis comprises the following steps:
a. performing skull CT thin-layer scanning, skull nuclear magnetic scanning and whole brain angiography examination on a patient to respectively obtain corresponding original DICOM data;
b. b, performing post-processing on the original DICOM data obtained in the step a by using Mimics software to obtain a three-dimensional image of arteriovenous malformation;
c. b, performing hemodynamic analysis on the data obtained by the whole cerebral angiography examination in the step a by using a color blood flow coding perfusion technology to obtain blood flow data;
d. according to the blood flow data obtained in the step c, giving a gradient color to the three-dimensional image obtained in the step b;
e. and D, printing the three-dimensional image obtained in the step D on a computer by using a 3D printing machine to obtain an AVM model.
Further, the blood flow data in step c includes the average blood flow passing time of the key positions of normal artery, blood supply artery, different parts of malformed ball and drainage vein.
Furthermore, the average blood flow passing time reflects the flow velocity of the blood flow, the color is given to the three-dimensional image according to the flow velocity of the blood flow, the red represents the blood vessel with high flow velocity, the blue represents the blood vessel with low flow velocity, and the color shows gradient change between the highest value and the lowest value of the flow velocity.
Further, the model of the 3D printer is Objet Connex 350.
Furthermore, the material of the model is photosensitive resin.
The invention relates to an AVM model construction method based on hemodynamic analysis, which obtains arteriovenous malformation image data of clinical patients by means of imaging examination, performs hemodynamic analysis by utilizing a color blood flow coding perfusion technology, distinguishes and expresses the characteristics of blood flow by visual gradient color, performs three-dimensional reconstruction, prints an arteriovenous malformation model by a 3D printer, can be used for preoperative simulation and exercise, reduces surgical risks and enhances the confidence of doctors.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic view of a 3D printed model of a right temporal venule malformation from multiple perspectives in the present case;
fig. 2 is a schematic diagram comparing right temporal lobe arteriovenous malformation radiography, 3D printing model and intraoperative condition in the case of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
An AVM model construction method based on hemodynamics analysis comprises the following steps:
a. performing skull CT thin-layer scanning, skull nuclear magnetic scanning and whole brain angiography examination on a patient to respectively obtain corresponding original DICOM data;
b. b, performing post-processing on the original DICOM data obtained in the step a by using Mimics software to obtain a three-dimensional image of arteriovenous malformation;
c. b, performing hemodynamic analysis on the data obtained by the whole cerebral angiography examination in the step a by using a color blood flow coding perfusion technology to obtain blood flow data;
d. according to the blood flow data obtained in the step c, giving a gradient color to the three-dimensional image obtained in the step b;
e. and D, printing the three-dimensional image obtained in the step D on a computer by using a 3D printing machine to obtain an AVM model.
The blood flow data in the step c comprise the average passing time of blood flow at multiple key positions of normal arteries, blood supply arteries, different parts of malformed masses and drainage veins.
The blood flow average passing time reflects the flow velocity of the blood flow, the color is given to the three-dimensional image according to the flow velocity of the blood flow, the red represents the blood vessel with high flow velocity, the blue represents the blood vessel with low flow velocity, and the color of the flow velocity between the highest value and the lowest value presents gradient change.
The model of the 3D printer is Objet Connex 350.
The material of the model is photosensitive resin.
Case (2):
a24-year-old male patient is admitted to the hospital after finding intracranial space occupation for 2 weeks, mainly due to repeated headache for 5 years. The nuclear magnetic resonance examination of the head shows that: the right temporal lobe occupies space, and the blood vessel runs empty, and arteriovenous malformation is considered. The malformed masses were found to be supplied by the right middle cerebral artery and finally drawn into the superior sagittal sinus by the large drainage vein, as detected by Digital Subtraction Angiography (DSA): reconstructing arteriovenous malformation according to DSA and original standard DICOM data of magnetic resonance venous imaging (MRV), and performing hemodynamic analysis on data obtained by whole brain angiography examination by using a color blood flow coding perfusion technology to obtain blood flow data; the obtained three-dimensional image is given gradient colors, and the printing of a colorful and multi-texture integral model is respectively carried out, the 3D printing model is shown in figure 1, and the neurosurgery and the interventionalist carry out preoperative discussion and the formulation of an operation plan. Finally, the patient is subjected to craniotomy arteriovenous malformation resection operation. Fig. 2 is a schematic diagram comparing right temporal lobe arteriovenous malformation radiography, 3D printing model and intraoperative situation, wherein: a: a digital subtraction angiography side bitmap, wherein a displayed blood supply artery is a right middle cerebral artery; b: the 3D model is enlarged to display the blood supply artery; c: blood supply arteries are seen inside the malformed masses in the operation; d: a digital subtraction angiography lateral bitmap, wherein thick black blood vessels are drainage veins; e: the 3D model enlargements show the drainage veins; f: the intraoperative images show gross drainage veins.
The invention relates to an AVM model construction method based on hemodynamic analysis, which obtains arteriovenous malformation image data of clinical patients by means of imaging examination, performs hemodynamic analysis by utilizing a color blood flow coding perfusion technology, distinguishes and expresses the characteristics of blood flow by visual gradient color, performs three-dimensional reconstruction, prints an arteriovenous malformation model by a 3D printer, can be used for preoperative simulation and exercise, reduces surgical risks and enhances the confidence of doctors.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (5)

1. An AVM model construction method based on hemodynamics analysis is characterized by comprising the following steps:
a. performing skull CT thin-layer scanning, skull nuclear magnetic scanning and whole brain angiography examination on a patient to respectively obtain corresponding original DICOM data;
b. b, performing post-processing on the original DICOM data obtained in the step a by using Mimics software to obtain a three-dimensional image of arteriovenous malformation;
c. b, performing hemodynamic analysis on the data obtained by the whole cerebral angiography examination in the step a by using a color blood flow coding perfusion technology to obtain blood flow data;
d. according to the blood flow data obtained in the step c, giving a gradient color to the three-dimensional image obtained in the step b;
e. and D, printing the three-dimensional image obtained in the step D on a computer by using a 3D printing machine to obtain an AVM model.
2. The method for constructing an AVM model based on hemodynamic analysis of claim 1, wherein: the blood flow data in the step c comprise the average passing time of blood flow at multiple key positions of normal arteries, blood supply arteries, different parts of malformed masses and drainage veins.
3. The method for constructing an AVM model based on hemodynamic analysis of claim 2, wherein: the blood flow average passing time reflects the flow velocity of the blood flow, the color is given to the three-dimensional image according to the flow velocity of the blood flow, the red represents the blood vessel with high flow velocity, the blue represents the blood vessel with low flow velocity, and the color of the flow velocity between the highest value and the lowest value presents gradient change.
4. The method for constructing an AVM model based on hemodynamic analysis of claim 1, wherein: the model of the 3D printer is Objet Connex 350.
5. The method for constructing an AVM model based on hemodynamic analysis of claim 1, wherein: the material of the model is photosensitive resin.
CN202110853909.1A 2021-07-27 2021-07-27 AVM model construction method based on hemodynamics analysis Pending CN113397580A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110853909.1A CN113397580A (en) 2021-07-27 2021-07-27 AVM model construction method based on hemodynamics analysis

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110853909.1A CN113397580A (en) 2021-07-27 2021-07-27 AVM model construction method based on hemodynamics analysis

Publications (1)

Publication Number Publication Date
CN113397580A true CN113397580A (en) 2021-09-17

Family

ID=77687870

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110853909.1A Pending CN113397580A (en) 2021-07-27 2021-07-27 AVM model construction method based on hemodynamics analysis

Country Status (1)

Country Link
CN (1) CN113397580A (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160314601A1 (en) * 2015-04-21 2016-10-27 Heartflow, Inc. Systems and methods for risk assessment and treatment planning of arterio-venous malformation
CN107049484A (en) * 2017-01-21 2017-08-18 绍兴市人民医院 Intracranial aneurysm 3D model Method of printings based on DSA data
US20180174490A1 (en) * 2016-12-15 2018-06-21 The Brigham And Women's Hospital, Inc. Methods and systems for generating fluid simulation models
CN108523997A (en) * 2018-04-28 2018-09-14 上海交通大学医学院附属仁济医院 Cortex structure, the cerebrovascular and intracerebral lesion 3D printing model and preparation method thereof
US20200316868A1 (en) * 2019-04-04 2020-10-08 The Regents Of The University Of Colorado, A Body Corporate Ultra-high resolution 3d printed anatomical and structural models
US20210219849A1 (en) * 2020-01-17 2021-07-22 Canon Medical Systems Corporation Apparatus and method of determining dynamic vascular parameters of blood flow

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160314601A1 (en) * 2015-04-21 2016-10-27 Heartflow, Inc. Systems and methods for risk assessment and treatment planning of arterio-venous malformation
US20180174490A1 (en) * 2016-12-15 2018-06-21 The Brigham And Women's Hospital, Inc. Methods and systems for generating fluid simulation models
CN107049484A (en) * 2017-01-21 2017-08-18 绍兴市人民医院 Intracranial aneurysm 3D model Method of printings based on DSA data
CN108523997A (en) * 2018-04-28 2018-09-14 上海交通大学医学院附属仁济医院 Cortex structure, the cerebrovascular and intracerebral lesion 3D printing model and preparation method thereof
US20200316868A1 (en) * 2019-04-04 2020-10-08 The Regents Of The University Of Colorado, A Body Corporate Ultra-high resolution 3d printed anatomical and structural models
US20210219849A1 (en) * 2020-01-17 2021-07-22 Canon Medical Systems Corporation Apparatus and method of determining dynamic vascular parameters of blood flow

Similar Documents

Publication Publication Date Title
Weinstock et al. Optimizing cerebrovascular surgical and endovascular procedures in children via personalized 3D printing
Fishman et al. Volume rendering versus maximum intensity projection in CT angiography: what works best, when, and why
Lell et al. New techniques in CT angiography
Nakajima et al. Computer-assisted surgical planning for cerebrovascular neurosurgery
Pratt et al. Computer‐assisted surgical planning and intraoperative guidance in fetal surgery: a systematic review
CN105631930A (en) DTI (Diffusion Tensor Imaging)-based cranial nerve fiber bundle three-dimensional rebuilding method
US11364002B2 (en) Medical-image processing apparatus and medical-image diagnostic apparatus
CN108523997A (en) Cortex structure, the cerebrovascular and intracerebral lesion 3D printing model and preparation method thereof
Jakab et al. Microvascular perfusion of the placenta, developing fetal liver, and lungs assessed with intravoxel incoherent motion imaging
Yoon et al. Vertebrobasilar junction aneurysms associated with fenestration: experience of five cases treated with Guglielmi detachable coils
JP6017281B2 (en) Stage judgment support system
Shinomiya et al. Usefulness of the 3D virtual visualization surgical planning simulation and 3D model for endoscopic endonasal transsphenoidal surgery of pituitary adenoma: technical report and review of literature
Duran et al. The additional diagnostic value of the three-dimensional volume rendering imaging in routine radiology practice
Jha et al. Three-dimensional volume rendering: an underutilized tool in neurosurgery
CN109949322A (en) A kind of cerebrovascular image partition method based on magnetic resonance T1 enhancing image
Fitski et al. MRI-based 3-dimensional visualization workflow for the preoperative planning of nephron-sparing surgery in wilms’ tumor surgery: A pilot study
D’Arco et al. Which neuroimaging techniques are really needed in Chiari I? A short guide for radiologists and clinicians
Saito et al. Surgical simulation of cerebrovascular disease with multimodal fusion 3-dimensional computer graphics
CN113397580A (en) AVM model construction method based on hemodynamics analysis
Fellner et al. Virtual cisternoscopy of intracranial vessels: a novel visualization technique using virtual reality
Wagner et al. Development of a 3D printed patient-specific neonatal brain simulation model using multimodality imaging for perioperative management
Shigematsu et al. Invited III. New developments: 2. Virtual MR endoscopy in the central nervous system
Yoshino et al. Usefulness of high-resolution three-dimensional multifusion medical imaging for preoperative planning in patients with cerebral arteriovenous malformation
WO2021214323A1 (en) Medical mimicking system
Rao et al. CT head in children

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination