Multi-material decomposition method for single-energy-spectrum CT image

Abstract

The invention discloses a multi-material decomposition method for a single-energy-spectrum CT image. The multi-material decomposition method comprises the following steps: (1) acquiring the single-energy-spectrum CT image; (2) aiming at a CT image, constructing a decomposition target function comprising a data fidelity term and three penalty terms according to a CT image domain multi-material decomposition theory, wherein the data fidelity term ensures that the error between the measured value and the true value is as small as possible, in the three penalty terms, the first term uses a total variation term to ensure the piecewise constant characteristic of a CT material image, the second term uses a 0 norm term to ensure the sparsity of materials in the CT image, and the third term uses afeature function term to ensure that a multi-material decomposition result meets the constraint that the volume fraction is 0-1 and the sum of the volume fractions of all the materials is 1; and (3) solving an initial value of the target function by adopting a matrix inversion method based on dual-material hypothesis, and solving the target function by adopting an alternating direction multipliermethod, so that accurate decomposition of various materials under single-energy common CT is realized, and the decomposition precision is equivalent to that of dual-energy CT.

Description

technical field [0001] The invention relates to the technical field of medical engineering, in particular to a multi-material decomposition method for single-energy spectrum CT images. Background technique [0002] In high-end CT applications, such as quantification of liver fibrosis, diagnosis of breast tumors, diagnosis of spinal compression fractures, and detection of kidney stones and urine stone components, multi-material decomposition technology has shown important application value. [0003] At present, multi-material decomposition is mostly carried out on dual-energy CT data, such as a convolutional neural network-based dual-energy CT image decomposition method disclosed by the publication number CN108230277A. However, compared to ordinary single-energy CT images, dual-energy CT images , the scanning hardware system is more complicated, and the cost of the dual-tube dual-energy CT imaging method of Siemens, the fast-kVp switching dual-energy CT imaging method of GE C...

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Problems solved by technology

[0003] At present, multi-material decomposition is mostly carried out on dual-energy CT data, such as a convolutional neural network-based dual-energy CT image decomposition method disclosed by the publication number CN108230277A. However, compared to ordinary single-energy CT images, dual-energy CT images , the scanning hardware system is more complicated, and the cost of the dual-tube dual-energy CT imaging method of Siemens, the fast-kVp switching dual-energy CT imaging method of GE Company and the double-layer plate dual-energy CT imaging method of Philips Company used in clinical practice are all much higher single energy spectral CT

Expensive price limits the further high-end application of dual-energy CT material decomposition technology

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