CN112834970A - Method for improving TOF3D resolution by k-space enhancement for magnetic resonance imaging - Google Patents
Method for improving TOF3D resolution by k-space enhancement for magnetic resonance imaging Download PDFInfo
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Abstract
The invention discloses a method for improving TOF3D resolution by k-space enhancement for magnetic resonance imaging, which is characterized by comprising the following steps: (1) performing three-dimensional Fourier transform on the plurality of slab image space data to obtain three-dimensional k space data; (2) processing the three-dimensional k-space data by using high-pass filtering, and superposing the processed three-dimensional k-space data and the original three-dimensional k-space data; (3) processing the superposed three-dimensional k space data by using three-dimensional inverse Fourier transform to obtain image space data; (4) the spatial data are subjected to modulo obtaining a DCM image of TOF3D and MIP three-dimensional reconstruction is performed on the DCM image. The invention can effectively improve the image resolution and contrast and show the unobvious small blood vessels. Is suitable for diagnosing and distinguishing the vascular lesions and has higher clinical application value.
Description
Technical Field
The invention belongs to the field of magnetic resonance imaging, and particularly relates to a method for improving the resolution of TOF3D by k-space enhancement for magnetic resonance imaging.
Background
Three-dimensional TOF imaging, also known as inflow MRA, which utilizes perturbed GRET1WI sequences to clearly show vascular structures without the need for contrast injection, has significant clinical application value in the area of head vessel imaging. The three-dimensional time-of-flight (TOF3D) sequence of a magnetic resonance imaging system is used for head vessel imaging, MRA can be used for the diagnosis of symptoms such as aneurysms, vessel stenosis, or in certain anatomical areas. The principle is that a very short TR is used, the longitudinal magnetization of the still brain tissue is relatively small without recovery signals, the moving inflow blood is not saturated, and the longitudinal magnetization is relatively large. By T1 three-dimensional acquisition of short TR, good vascular and brain tissue contrast is obtained. However, due to the fact that the flow velocity of small blood vessels is low, signals are weak, the contrast between the obtained image blood vessels and background tissues is not strong, and the resolution and the blood vessel contrast of a 3D image after MIP is used are low.
Disclosure of Invention
The invention aims to: a method for k-space enhancement for magnetic resonance imaging to improve TOF3D resolution is provided that enables the image vessels, particularly small vessels, to be sharpened and increases the contrast of the vessels and brain tissue.
The technical scheme of the invention is as follows: a method of k-space enhancement for magnetic resonance imaging to improve TOF3D resolution, comprising the steps of:
(1) performing three-dimensional Fourier transform on the plurality of slab image space data to obtain three-dimensional k space data;
(2) processing the three-dimensional k-space data by using high-pass filtering, and superposing the processed three-dimensional k-space data and the original three-dimensional k-space data;
(3) processing the superposed three-dimensional k space data by using three-dimensional inverse Fourier transform to obtain image space data;
(4) the spatial data are subjected to modulo obtaining a DCM image of TOF3D and MIP three-dimensional reconstruction is performed on the DCM image.
Further, the algorithm of the high-pass filtering is as follows:
The invention has the advantages that:
the method is based on a special three-dimensional high-pass filtering function and used for enhancing the k-space high-frequency signal. Because the blood vessel signals are distributed in high frequency, the specially designed high-pass filter function can well enhance the blood vessel signals, particularly the small blood vessel signals, and because the background signals are not enhanced, the contrast of the image is improved by the method. The three-dimensional reconstructed image blood vessels after MIP of the image enhanced by the three-dimensional high-pass filtering become clear, and particularly the small blood vessels are increased visually. The invention can effectively improve the image resolution and contrast and show the unobvious small blood vessels. Is suitable for diagnosing and distinguishing the vascular lesions and has higher clinical application value.
Drawings
The invention is further described with reference to the following figures and examples:
FIG. 1 is a flow chart of the algorithm of the present invention.
Fig. 2 is a comparison graph of the effect of the algorithm of the present invention before and after use.
Detailed Description
Example (b): as shown in fig. 1, the method for enhancing k-space for magnetic resonance imaging to improve TOF3D resolution of the present invention comprises the following steps: (1) performing three-dimensional Fourier transform on the plurality of slab image space data to obtain three-dimensional k space data; (2) processing the three-dimensional k-space data by using high-pass filtering, and superposing the processed three-dimensional k-space data and the original three-dimensional k-space data; (3) processing the superposed three-dimensional k space data by using three-dimensional inverse Fourier transform to obtain image space data; (4) and performing modulus on the spatial data to obtain a DCM image of TOF3D, and performing MIP three-dimensional reconstruction on the DCM image to obtain a required image for diagnosis of a doctor.
In this embodiment, (1) three-dimensional fourier transform K-space is performed on all acquired TOF3D images of different slabs to obtain three-dimensional K-space data a, where signals of blood vessels are mainly distributed at high frequencies;
(2) the following algorithm is utilized:
generating a filter B with the same size as the k space data, and adjusting parameters;
(3) multiplying the K space data A and the filter B point to obtain high-pass filtered K space data C, wherein the data mainly comprises high-frequency signals such as blood vessels and the like;
(4) the K-space raw data a and the high-pass filtered K-space data C are added to the enhanced K-space data D, at which time the signals of the blood vessels in the data D are enhanced.
(5) The enhanced k-space data D is transformed back to an image space by three-dimensional Fourier transform to obtain image space data E, and the contrast of tissues and blood vessels in the data E is enhanced, so that the resolution of the MIP image is improved;
(6) the object spatial data E is modelled to obtain a DCM image F of the final TOF3D, which is the original image diagnosed by the doctor.
(7) And performing MIP three-dimensional reconstruction on the image F to obtain an image shown in the figure 2.
From the comparison of the effects before and after the algorithm of fig. 2 is used, the invention is not used on the side, and the invention is used on the right side, so that the blood vessels on the image become clear after the algorithm is used, particularly the visible increase of small blood vessels is realized, the image contrast is enhanced, and the diagnosis of a patient by a doctor is facilitated.
Claims (2)
1. A method of k-space enhancement for magnetic resonance imaging to improve TOF3D resolution, comprising the steps of:
(1) performing three-dimensional Fourier transform on the plurality of slab image space data to obtain three-dimensional k space data;
(2) processing the three-dimensional k-space data by using high-pass filtering, and superposing the processed three-dimensional k-space data and the original three-dimensional k-space data;
(3) processing the superposed three-dimensional k space data by using three-dimensional inverse Fourier transform to obtain image space data;
(4) the spatial data are subjected to modulo obtaining a DCM image of TOF3D and MIP three-dimensional reconstruction is performed on the DCM image.
2. The method for improving TOF3D resolution by k-space enhancement for magnetic resonance imaging according to claim 1, wherein the algorithm of the high-pass filtering is as follows:
wherein X, Y and Z are coordinates of corresponding points in the read encoding direction, the phase encoding direction and the layer phase encoding direction respectively, and X, Y and Z are the read encoding direction, the phase encoding direction and the layer encoding respectively.
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Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080258724A1 (en) * | 2007-04-20 | 2008-10-23 | General Electric Company | Magnetic resonance imaging visualization method and system |
| US20090087066A1 (en) * | 2007-10-02 | 2009-04-02 | Odry Benjamin L | Method and system for vessel enhancement and artifact reduction in TOF MR angiography of brain |
| CN101520499A (en) * | 2008-02-29 | 2009-09-02 | 西门子（中国）有限公司 | Method and device for removing artifacts in magnetic resonance imaging |
| CN103300858A (en) * | 2013-05-22 | 2013-09-18 | 北京大学 | Three dimensional vascular wall imaging sequence with rapid high isotropy resolution ration |
| CN103810754A (en) * | 2014-03-04 | 2014-05-21 | 姜卫剑 | Medical image processing method |
| CN107767357A (en) * | 2017-09-14 | 2018-03-06 | 北京工业大学 | A kind of depth image super-resolution method based on multi-direction dictionary |
| CN108333545A (en) * | 2018-01-25 | 2018-07-27 | 浙江大学 | MR image reconstruction method based on high-pass filtering |
| CN110570485A (en) * | 2019-08-23 | 2019-12-13 | 苏州朗润医疗***有限公司 | FCSA (fuzzy C-means-SA) improvement-based compressed sensing accelerated reconstruction method |
| CN110796694A (en) * | 2019-10-13 | 2020-02-14 | 西北农林科技大学 | Fruit three-dimensional point cloud real-time acquisition method based on KinectV2 |
| CN111784793A (en) * | 2020-07-01 | 2020-10-16 | 厦门大学 | Dynamic magnetic resonance imaging reconstruction method |
-
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- 2020-12-31 CN CN202011640742.2A patent/CN112834970B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080258724A1 (en) * | 2007-04-20 | 2008-10-23 | General Electric Company | Magnetic resonance imaging visualization method and system |
| US20090087066A1 (en) * | 2007-10-02 | 2009-04-02 | Odry Benjamin L | Method and system for vessel enhancement and artifact reduction in TOF MR angiography of brain |
| CN101520499A (en) * | 2008-02-29 | 2009-09-02 | 西门子（中国）有限公司 | Method and device for removing artifacts in magnetic resonance imaging |
| CN103300858A (en) * | 2013-05-22 | 2013-09-18 | 北京大学 | Three dimensional vascular wall imaging sequence with rapid high isotropy resolution ration |
| CN103810754A (en) * | 2014-03-04 | 2014-05-21 | 姜卫剑 | Medical image processing method |
| CN107767357A (en) * | 2017-09-14 | 2018-03-06 | 北京工业大学 | A kind of depth image super-resolution method based on multi-direction dictionary |
| CN108333545A (en) * | 2018-01-25 | 2018-07-27 | 浙江大学 | MR image reconstruction method based on high-pass filtering |
| CN110570485A (en) * | 2019-08-23 | 2019-12-13 | 苏州朗润医疗***有限公司 | FCSA (fuzzy C-means-SA) improvement-based compressed sensing accelerated reconstruction method |
| CN110796694A (en) * | 2019-10-13 | 2020-02-14 | 西北农林科技大学 | Fruit three-dimensional point cloud real-time acquisition method based on KinectV2 |
| CN111784793A (en) * | 2020-07-01 | 2020-10-16 | 厦门大学 | Dynamic magnetic resonance imaging reconstruction method |
Non-Patent Citations (3)
| Title |
|---|
| MARIO CIRILLOA 等: "Comparison of 3D TOF-MRA and 3D CE-MRA at 3 T for imaging of intracranial aneurysms", 《EUROPEAN JOURNAL OF RADIOLOGY》 * |
| 刘定西 等: "三维K-空间Kz轴数据不对称填充技术在3D-TOF脑动脉MRA的应用价值", 《中国医学影像技术》 * |
| 耿辰 等: "基于深度学习的时间飞跃法磁共振血管成像对脑动脉瘤自动检测方法研究", 《上海医学》 * |
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Application publication date: 20210525 Assignee: Suzhou Temperature Imaging Co.,Ltd. Assignor: SUZHOU LONWIN MEDICAL SYSTEM CO.,LTD. Contract record no.: X2023980035514 Denomination of invention: A k-space enhancement method for improving TOF3D resolution in magnetic resonance imaging Granted publication date: 20221220 License type: Common License Record date: 20230512 |
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