An optimization method for medical image volume reconstruction based on usage scenarios

Abstract

The invention discloses a medical image volume reconstruction optimization method based on usage scenarios, which includes creating a template library containing several histogram features, setting several mapping functions and a default mapping function for each histogram feature; obtaining the medical image input by the user Image, calculate its histogram features, and match the histogram feature template library, use the matching default mapping function to perform 3D reconstruction of the new medical image sequence; monitor the mapping function selected by the user, perform 3D reconstruction of the medical image, and update the mapping function Frequency of use, set the mapping function with the highest frequency of use as the default mapping function matching the histogram feature template; if a new / modified / deleted histogram feature template or mapping function is monitored, update the histogram feature template library. The present invention provides a method that can quickly adapt to the doctor's personal diagnosis habits. By optimizing the mapping function, the volume reconstruction can more and more match the doctor's use scene, so as to improve the efficiency of image reading.

Description

technical field [0001] The invention relates to an optimization selection method of a mapping function (including an opacity mapping function and a color mapping function) in a medical image volume reconstruction process, in particular to an optimization method of a medical image volume reconstruction mapping function in a fixed use scene. Background technique [0002] In the volumetric reconstruction, the three-dimensional data needs to be rendered and displayed, and the opacity mapping function and the color mapping function are required in this process. The appropriate opacity mapping function and color mapping function are different in the image reconstruction of different parts produced by different devices. Even if it is the same image, doctors will hope to have different opacity mapping functions and color mapping when viewing different tissues, so as to observe different pathological features. The usage scenarios of doctors are relatively fixed (CT machines, persona...

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Problems solved by technology

The usage scenarios of doctors are relatively fixed (CT machines, personal diagnosis habits), and usually 3D processing software will initialize a color mapping table, but this mapping table is fixed for all devices and doctors, so many initial mapping tables cannot be very accurate. To better meet the needs of doctors, adjusting the mapping table is also a time-consuming and inefficient operation

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