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Region of interest
A Region of Interest, often abbreviated ROI, is a selected subset of samples within a dataset identified for a particular purpose.
Additional recommended knowledge
The concept of an ROI is commonly used in medical imaging. For example, the boundaries of a tumor may be defined on an image or in a volume, for the purpose of measuring its size. The endocardial border may be defined on an image, perhaps during different phases of the cardiac cycle, say end-systole and end-diastole, for the purpose of assessing cardiac function.
There are three fundamentally different means of encoding an ROI:
Medical imaging standards such as DICOM provide general and application-specific mechanisms to support various use-cases.
For DICOM images (two or more dimensions):
For DICOM radiotherapy:
For DICOM time-based waveforms:
HL7 CDA (Clinical Document Architecture) also has a subset of mechanisms similar to (and intended to be compatible with) DICOM for referencing image-related spatial coordinates as observations; it allows for a circle, ellipse, polyline or point to be defined as integer pixel-relative coordinates referencing an external multi-media image object, which may be of a consumer rather than medical image format (e.g., a GIF, PNG or JPEG).
As far as non-medical standards are concerned, in addition to the purely graphic markup languages (such as PostScript or PDF) and vector graphic (such as SVG) and 3D (such as VRML) drawing file formats that are widely available, and which carry no specific ROI semantics, some standards such as JPEG 2000 specifically provide mechanisms to label and/or compress to a different degree of fidelity, what they refer to as regions of interest.
|This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article "Region_of_interest". A list of authors is available in Wikipedia.|