Computer-aided detection of regions of interest in tomographic breast imagery
Abstract
Disclosed are methods, and associated systems comprising processors, input devices and output devices, of detecting regions of interest in a tomographic breast image. The methods may comprise: acquiring tomographic breast image data; deriving a plurality of synthetic sub-volumes from the tomographic breast image data; wherein each subvolume is defined by parallel planar top and bottom surfaces; wherein planar top and bottom surfaces of successive subvolumes are parallel to each other; and wherein a top planar surface of a sub-volume is offset from a top planar surface of a prior sub-volume, such that successive sub-volumes overlap; for each sub-volume, deriving a two-dimensional image; for each two-dimensional image, identifying regions of interest therein; deriving at least one region of interest of potential clinical interest from a plurality of identified regions of interest; and outputting information associated with at least one derived region of interest of potential clinical interest.
Claims
exact text as granted — not AI-modified1 . In a system comprising a processor, an input device and an output device, a method of detecting regions of interest in a tomographic breast image, comprising:
a. by means of an input device, acquiring tomographic breast image data; b. by means of a processor, deriving a plurality of synthetic sub-volumes from the tomographic breast image data; wherein each subvolume is defined by parallel planar top and bottom surfaces; wherein planar top and bottom surfaces of successive subvolumes are parallel to each other; and wherein a top planar surface of a sub-volume is offset from a top planar surface of a prior sub-volume, such that successive sub-volumes overlap; c. by means of a processor, for each sub-volume, deriving a two-dimensional image; d. by means of a processor, for each two-dimensional image, identifying regions of interest therein; e. by means of a processor, deriving at least one region of interest of potential clinical interest from a plurality of identified regions of interest; and f. by means of an output device, outputting information associated with at least one derived region of interest of potential clinical interest.
2 . The method of claim 1 , wherein the tomographic breast image data is acquired by means of an image acquisition unit.
3 . The method of claim 1 , wherein the tomographic breast image data comprises a tomographic breast volume.
4 . The method of claim 3 , wherein the tomographic breast volume is acquired by means of an image acquisition unit obtaining a plurality of two-dimensional breast images of an anatomical breast at differing angles, and a processor computing the tomographic breast volume from the plurality of two-dimensional breast images.
5 . The method of claim 1 , wherein the tomographic breast image data is acquired from at least one of a computer network and a storage device.
6 . The method of claim 5 , wherein the tomographic breast image data comprises a tomographic breast volume.
7 . The method of claim 6 , wherein the tomographic breast volume is acquired by obtaining a plurality of two-dimensional breast images of an anatomical breast at differing angles by means of at least one of a computer network and a storage device, computing the tomographic breast volume from the plurality of two-dimensional breast images by means of a processor.
8 . The method of claim 1 , wherein deriving at least one region of interest of potential clinical interest from a plurality of identified regions of interest comprises:
e1. for each region of interest identified in a plurality of two-dimensional images, determining a location of the region of interest; e2. for each located region of interest, deriving a further sub-volume enclosing said located region of interest; and e3. for each located region of interest, further evaluating said located region of interest to determine if it is of potential clinical interest.
9 . The method of claim 1 , wherein each subvolume has a same thickness as all other subvolumes.
10 . The method of claim 9 , wherein the same thickness is a predetermined thickness.
11 . The method of claim 1 , wherein each subvolume is offset from the prior subvolume by a same offset amount.
12 . The method of claim 11 , wherein the same offset amount is a predetermined offset amount.
13 . The method of claim 1 , wherein outputting information associated with at least one derived region of interest of potential clinical interest comprises displaying said at least one derived region of interest in conjunction with at least a portion of a breast image.
14 . The method of claim 13 , wherein information associated with at least one derived region of interest of potential clinical interest comprises at least one CAD mark.
15 . The method of claim 13 , wherein information associated with at least one derived region of interest of potential clinical interest comprises a location of the said at least one region of interest.
16 . The method of claim 1 , wherein each synthetic sub-volume is derived from a plurality of consecutive thin slices of the tomographic breast volume.
17 . The method of claim 16 , wherein each thin slice is in the range of about 1 mm. to about 3 mm. thick.
18 . The method of claim 1 , wherein a thickness of each subvolume is in the range of about 3 mm. to about 30 mm.
19 . The method of claim 18 , wherein an offset between top planar surfaces of successive sub-volumes is in the range of about 1 mm. to about 3 mm.
20 . The method of claim 18 , wherein an offset between top planar surfaces of successive sub-volumes is equal to a thickness of a thin slice of a tomographic breast volume.
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