Medical image processing and registration system
An image data subtraction system enhances visualization of vessels subject to movement using an imaging system. The imaging system acquires data representing first and second anatomical image sets comprising multiple temporally sequential individual mask (without contrast agent) and fill images (with contrast agent) of vessels respectively, during multiple heart cycles. An image data processor automatically identifies temporally corresponding pairs of images comprising a mask image and a contrast enhanced image and for the corresponding pairs, automatically determines a shift of a contrast enhanced image relative to a mask image to compensate for motion induced image mis-alignment. The image data processor automatically shifts a contrast enhanced image relative to a mask image in response to the determined shift. The image data processor subtracts data representing a mask image of a corresponding pair from a shifted contrast enhanced image of the corresponding pair, to provide multiple subtracted images showing enhanced visualization of vessels.
1. An image data subtraction system to enhance visualization of vessels subject to movement, comprising:
an image data processor for,
automatically identifying temporally corresponding pairs of images comprising a mask image and a contrast enhanced image from first and second image sets respectively and
for said corresponding pairs,
automatically determining a shift of a contrast enhanced image relative to a mask image to compensate for motion induced image mis-alignment by,
determining a plurality of candidate shifts for a plurality of different individual regions of said contrast enhanced image relative to corresponding regions of said mask image to compensate for mis-alignment of said individual regions,
applying said candidate shifts to said contrast enhanced image as a whole and
determining an optimal shift of said candidate shifts based on effectiveness of shifts of said contrast enhanced image as a whole and
automatically shifting a contrast enhanced image relative to a mask image in response to the determined optimal shift and
subtracting data representing a mask image of a corresponding pair from a shifted contrast enhanced image of said corresponding pair, to provide a plurality of subtracted images showing enhanced visualization of vessels.
2. A system according to claim 1 , including
an imaging system for,
acquiring data representing a first image set comprising a plurality of temporally sequential individual mask images of vessels of a portion of patient anatomy during a plurality of heart cycles in the absence of a contrast agent and
acquiring data representing a second image set comprising a plurality of temporally sequential individual contrast enhanced images of vessels of said portion of patient anatomy during a plurality of heart cycles in the presence of a contrast agent.
3. A system according to claim 1 , wherein
said image data processor automatically divides said contrast enhanced image into multiple different regions individually comprising a plurality of pixels.
4. A system according to claim 3 , wherein
said image data processor automatically selects said optimal shift of said candidate shifts by determining a shift effectiveness measure for individual shifts of said plurality of shifts.
5. A system according to claim 4 , wherein
said image data processor automatically compares said plurality of shifts and selects said shift as a shift with the highest effectiveness measure.
6. A system according to claim 4 , wherein
said shift effectiveness measure comprises a deterministic sign change value (DSC).
7. A system according to claim 1 , including
an interface for receiving an electrical signal representing a heart cycle electrical waveform occurring over a plurality of heart cycles and wherein
said image data processor uses said electrical signal to identify pairs of images comprising a mask image and a contrast enhanced image acquired at substantially the same point within a heart cycle.
8. A system according to claim 1 , wherein
said image data processor,
automatically selects a plurality of different regions within a contrast enhanced image as regions encompassing objects corresponding to objects in a mask frame and
determines said shift by determining a plurality of shifts for said plurality of different regions within a contrast enhanced image relative to corresponding regions within a mask image.
9. An image data subtraction system to enhance visualization of vessels subject to movement, comprising:
an image data processor for,
automatically identifying temporally corresponding pairs of images comprising a mask image and a contrast enhanced image and
for said corresponding pairs,
automatically determining a shift of a mask image relative to a contrast enhanced image to compensate for motion induced image mis-alignment by,
determining a plurality of candidate shifts for a plurality of different individual regions of said mask image relative to corresponding regions of said contrast enhanced image to compensate for mis-alignment of said individual regions,
applying said candidate shifts to said mask image as a whole and
determining an optimal shift of said candidate shifts based on effectiveness of shifts of said mask image as a whole and automatically shifting a mask image relative to a contrast enhanced image in response to the determined optimal shift and
subtracting data representing a shifted mask image of a corresponding pair from a contrast enhanced image of said corresponding pair, to provide a plurality of subtracted images showing enhanced visualization of vessels.
10. A system according to claim 9 , wherein
said image data processor automatically divides said mask image into multiple different regions individually comprising a plurality of pixels.
11. A system according to claim 10 , wherein
said image data processor automatically selects said optimal shift of said candidate shifts by determining a shift effectiveness measure for individual shifts of said plurality of shifts.
12. A system according to claim 11 , wherein
said image data processor automatically compares said plurality of shifts and selects said shift as a shift with the highest effectiveness measure.
13. A method for subtracting image data to enhance visualization of vessels subject to movement, comprising the activities of:
automatically identifying temporally corresponding pairs of images comprising a mask image and a contrast enhanced image from first and second image sets respectively, and
for said corresponding pairs,
automatically determining a shift of a contrast enhanced image relative to a mask image to compensate for motion induced image mis-alignment by,
determining a plurality of candidate shifts for a plurality of different individual regions of said contrast enhanced image relative to corresponding regions of said mask image to compensate for mis-alignment of said individual regions,
applying said candidate shifts to said contrast enhanced image as a whole and
determining an optimal shift of said candidate shifts based on effectiveness of shifts of said contrast enhanced image as a whole and automatically shifting a contrast enhanced image relative to a mask image in response to the determined shift and
subtracting data representing a mask image of a corresponding pair from a shifted contrast enhanced image of said corresponding pair, to provide a plurality of subtracted images showing enhanced visualization of vessels.
14. A method according to claim 13 , including the activities of
acquiring data representing a first image set comprising a plurality of temporally sequential individual mask images of vessels of a portion of patient anatomy during a plurality of heart cycles in the absence of a contrast agent and
acquiring data representing a second image set comprising a plurality of temporally sequential individual contrast enhanced images of vessels of said portion of patient anatomy during a plurality of heart cycles in the presence of a contrast agent.
15. A method according to claim 13 , including the activity of
automatically dividing said contrast enhanced image into multiple different regions individually comprising a plurality of pixels.