- Region of interest
A Region of Interest, often abbreviated ROI, is a selected subset of samples within a dataset identified for a particular purpose.
* on a waveform (1D dataset), a time or frequency interval
* on an image (2D dataset), the boundaries of an object
* in a volume (3D dataset), the contours or surfaces outlining an object
* in a time-volume (4D dataset), the outline of an object at or during a particular time interval
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:
* burned in to the dataset, with a value that may or may not be outside the normal range of normally occurring values
* as separate purely graphic information, such as with vector or bitmap (rasterized) drawing elements, perhaps with some accompanying plain (unstructured) text annotation
* as separate structured semantic information (such as coded value types) with a set of spatial and/or temporal coordinates
Medical imaging standards such as DICOM provide general and application-specific mechanisms to support various use-cases.
DICOMimages (two or more dimensions):
* burned in graphics and text may occur within the normal pixel value range (e.g., as the maximum white value) (deprecated)
* bitmap (rasterized) overlay graphics and text may be present in unused high bits of the pixel data or in a separate attribute (deprecated)
* vector graphics may be encoded in separate image attributes as curves (deprecated)
* unstructured vector graphics and text as well as bitmap (rasterized) overlay graphics may be encoded in a separate object as a presentation state that references the image object to which it is to be applied
* structured data may be encoded in a separate object as a structured report in the form of a tree of name-value pairs of coded or text concepts possibly associated with derived quantitative information can reference spatial and/or temporal coordinates that in turn reference the image objects to which they apply
* reference locations may be encoded as
fiducials in the form of spatial coordinates with an associated coded purpose, either as pixel coordinates by reference to specific images, or as coordinates in a named 3D cartesian space
* pixels (possibly non-contiguous) may be classified into segments encoded in a segmentation object as either binary or probabilistic values in a raster (which is not required to have the same spatial sampling or extent as the images from which the segmentation was derived)
* contours of objects may be defined as structure sets, either as pixel coordinates by reference to specific images, or as coordinates in a named 3D cartesian space
* burned in values may occur with the waveform (deprecated)
* annotations may be encoded in a separate attribute can select multiple time points or a range of time points, either by sample number or specified time
* structured data may be encoded in a separate object as a structured report in the form of a tree of name-value pairs of coded or text concepts possibly associated with derived quantitative information can reference temporal coordinates that in turn reference the waveform objects to which they apply
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
PostScriptor 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 2000specifically provide mechanisms to label and/or compress to a different degree of fidelity, what they refer to as regions of interest.
Wikimedia Foundation. 2010.