Rapid medical image reconstruction method based on multi-feature fusion
A multi-feature fusion and medical image technology, applied in neural learning methods, image generation, image data processing, etc., can solve the problems of accuracy impact and inability to apply real-time imaging
Active Publication Date: 2021-03-09
SHANGHAI TECH UNIV
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[0012] The technical problem to be solved by the present invention is: using an iterative method to obtain an accurate matrix x through a time-domain photoacoustic signal y cannot be applied to real-time imaging; using a non-iterative method to obtain an accurate matrix x through a time-domain photoacoustic signal y is affected by the training samples
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[0038] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.
[0039] The invention discloses a fast medical image reconstruction method based on multi-feature fusion. The specific technical solution includes a preprocessing method for photoacoustic signals and a corresponding AS-Net. The overall schematic diagram is as follows figure 1 shown. Among them, the preprocessing of the photoacoustic signal (folding transformation processing of the photoacoustic signal) is to change the original...
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The invention discloses a rapid medical image reconstruction method based on multi-feature fusion, and the method is characterized in that the method comprises the following steps: carrying out the preprocessing of an original photoacoustic signal, and enabling the original photoacoustic signal in a long sequence shape to be converted into a preprocessed photoacoustic signal in a square matrix form; and inputting the preprocessed photoacoustic signal into a fast medical image reconstruction deep learning network based on multi-feature fusion to obtain a reconstructed photoacoustic image. Aiming at the reconstruction problem under sparse setting, the invention provides a rapid and efficient photoacoustic reconstruction method, the photoacoustic reconstruction method adopts a rapid medical image reconstruction deep learning network based on multi-feature fusion, and a high-quality image can be rapidly reconstructed with a small parameter quantity.
Description
technical field [0001] The invention relates to a fast medical image reconstruction method, which belongs to the technical fields of photoacoustic imaging, medical image reconstruction and deep learning. Background technique [0002] Photoacoustic imaging is an emerging imaging modality that combines both optical and ultrasound modalities. While maintaining the advantages of high penetration depth of ultrasound imaging, it also has higher spatial resolution and contrast than ultrasound imaging. [0003] Current photoacoustic imaging systems are broadly classified into three categories according to system configuration and application fields: PACT (Photoacoustic Computed Tomography), PAM (Photoacoustic Microimaging), and PAE (Photoacoustic Endoscopic Imaging). Many clinically significant applications have been investigated, such as early tumor detection and whole-body imaging in small animals. Photoacoustic computed tomography plays an important role in the preclinical and ...
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IPC IPC(8): G06T11/00G06N3/04G06N3/08
CPCG06T11/003G06N3/08G06T2210/41G06N3/045Y02T10/40
Inventor高飞兰恒荣郭梦杰
OwnerSHANGHAI TECH UNIV