Systems and methods for image processing

A system for image processing, comprising:

• at least one storage device storing a set of instructions;
• and
• at least one processor configured to communicate with the at least one storage device, wherein when executing the set of instructions, the at least one processor is directed to cause the system to:
• obtain an image relating to volume data of a plurality of tissues, wherein tissue labels of the plurality of tissues are organized in a tissue set;
• select a sample point based on the volume data;
• obtain one or more neighboring points of the sample point, wherein one or more neighboring labels corresponding to the one or more neighboring points respectively are organized in a neighboring point set;
• determine whether the one or more neighboring labels belong to the tissue set;
• determine a color of the sample point based on the determination result, wherein to determine a color of the sample point based on the determination result, the at least one processor is directed to cause the system to:
• in response to determining that a target neighboring label of the one or more neighboring labels does not belong to the tissue set, obtain a first color list based on the target neighboring label, the first color list including preset color attributes corresponding to image values respectively;
• and
• determine the color of the sample point based on an image value of the sample point and the first color list;
• and
• obtain a volume rendering result of the plurality of tissues based on the color of the sample point.

A non-transitory computer readable medium storing instructions, the instructions, when executed by at least one machine, causing the at least one machine to implement a method comprising:

• obtaining an image relating to volume data of a plurality of tissues, wherein tissue labels of the plurality of tissues are organized in a tissue set;
• selecting a sample point based on the volume data;
• obtaining one or more neighboring points of the sample point, wherein one or more neighboring labels corresponding to the one or more neighboring points respectively are organized in a neighboring point set;
• determining whether the one or more neighboring labels belong to the tissue set;
• determining a color of the sample point based on the determination result, wherein the determining a color of the sample point based on the determination result comprises:
• in response to determining that a target neighboring label of the one or more neighboring labels does not belong to the tissue set, obtaining a first color list based on the target neighboring label, the first color list including preset color attributes corresponding to image values respectively;
• and
• determining the color of the sample point based on an image value of the sample point and the first color list;
• and
• obtaining a volume rendering result of the plurality of tissues based on the color of the sample point.