Relative maximum intensity projection
A machine-implemented display method that, with respect to a volume dataset being rendered, enables a user to navigate to any position in space and look in any direction. An enhanced display method for this type of dataset improves upon known Maximum Intensity Projection (MIP) techniques. The enhanced method, “Relative MIP,” uses a different approach to pixel value rendering. Relative MIP draws information from an amount of difference present between a current pixel and its neighbors, and then visualizes the maximum intensity of this difference.
1. An article comprising a tangible, non-transitory machine-readable medium that stores a program, the program being executed by a machine having a hardware component to perform a method, the method comprising:
receiving a volume dataset defining a volume within a human body; and
rendering, with respect to any position and orientation in the volume, an image sequence of the volume dataset at a given number of frames per second, each frame of the image sequence having pixels that are uniform, at least two frames of the image sequence having varying resolution, the image sequence representing a lumen, an open area of an artery, and pixels in a cross-section of the lumen;
wherein a given pixel in a frame has a value that is defined as a maximally intense traversed pixel along a ray, as calculated at each step along the ray, from a sum of an absolute value of differences between a sampled pixel and its neighboring pixels in the cross-section of the lumen;
wherein neighboring pixels that are part of the lumen and within the cross-section are rendered with a first value, and neighboring pixels that are part of a wall of the artery are rendered in a second value dissimilar to the first value such that the wall of the artery is visually distinguishable from the lumen.
2. The article as described in claim 1 wherein the amount of difference is measured in Hounsfield Units.
3. The article as described in claim 2 further including providing a visualization of a maximum intensity of relative Hounsfield Units.
4. Apparatus, comprising:
a display;
a processor; and
computer memory holding computer program instructions that, when executed by or in association with the processor, render a 3D image on the display at a frame rate with two frames of an image sequence having varying resolution with respect to one another, the 3D image representing a lumen, an open area of an artery, and pixels in a cross-section of the lumen, wherein a given pixel in a frame has a value that is defined as a maximally intense traversed pixel along a ray, as calculated at each step along the ray, from a sum of an absolute value of differences between a sampled pixel and its neighboring pixels in the cross-section of the lumen;
wherein neighboring pixels that are part of the lumen and within the cross-section are rendered with a first value, and neighboring pixels that are part of a wall of the artery are rendered in a second value dissimilar to the first value such that the wall of the artery is visually distinguishable from the lumen.
5. The apparatus as described in claim 4 wherein the amount of difference is measured in Hounsfield Units.
6. The apparatus as described in claim 4 wherein the display provides a visualization of a maximum intensity of relative Hounsfield Units.
7. A display method, comprising:
receiving a volume dataset defining a volume within a human body; and
rendering, using a hardware processor, and with respect to any position and orientation in the volume, an image sequence of the volume dataset from a perspective of a virtual camera, at least two frames of the image sequence having varying resolution with respect to one another, the image representing a lumen, an open area of an artery, and pixels in a cross-section of the lumen;
wherein a given pixel in a frame has a value that is defined as a maximally intense traversed pixel along a ray, as calculated at each step along the ray, from a sum of an absolute value of differences between a sampled pixel and its neighboring pixels in the cross-section of the lumen;
wherein neighboring pixels that are part of the lumen and within the cross-section are rendered with a first value, and neighboring pixels that are part of a wall of the artery are rendered in a second value dissimilar to the first value such that the wall of the artery is visually distinguishable from the lumen.
8. The method as described in claim 7 wherein the amount of difference is measured in Hounsfield Units.
9. The method as described in claim 7 further including providing a visualization of a maximum intensity of relative Hounsfield Units.