Motion amplitude automatic estimation method for CT and MR brain perfusion data

Abstract

The invention provides an automatic motion amplitude estimation method for CT (Computed Tomography) and MR (Magnetic Resonance) brain perfusion data, which is used for evaluating and prompting the data and filtering out the data which cannot be accurately post-processed due to overlarge motion amplitude. The specific technical scheme provided by the invention is as follows: the technical scheme provided by the invention is mainly realized through three steps: step 1, performing rigid registration of a time axis on data by using a general technology; step 2, extracting features through a registration matrix; and step 3, evaluating the motion amplitude. According to the invention, the motion amplitude can be evaluated according to an objective standard, and the motion generation position and time can be positioned; and the key point of the invention lies in a method for calculating an abnormal period and an abnormal layer, and a method for judging whether the overall data moves excessively.

Description

technical field [0001] The invention relates to the medical field, in particular to a method for automatically estimating the motion amplitude of CT and MR brain perfusion data. Background technique [0002] 4D brain perfusion data is the result of multiple time-period scans of the same location. However, since the entire scan time is generally long, the patient will inevitably move slightly during the scan, which requires registration of the scanned data. Then analyze on the time axis. [0003] However, because the layer thickness of the data itself is relatively thick, usually above 5mm, when the range of motion is too large, the interpolation operation of the layer-thick data will produce a sudden change in value, causing calculation errors in subsequent steps. In order to calculate the accuracy of the results, it is necessary to carry out the registration effect of the data. [0004] Currently there are various rigid registration techniques to achieve registration, but...

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Problems solved by technology

[0004] Currently there are various rigid registration techniques to achieve registration, but it is impossible to perfectly complete the time axis registration of such thick layer data

At the same time, there is no effective method for estimating and judging its motion range.

[0005] In the above-mentioned background technology, the main disadvantage is: if there is still large-scale motion in the registered data, the signal change caused by the motion will be regarded as a prominent change feature of the contrast agent, resulting in the characteristics of the time-density curve of brain tissue. confusion, which eventually leads to errors in the perfusion parameter map

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