초록 ▼

A method for processing image data of a sample is disclosed. The method comprises registering a first and a second images of at least partially overlapping spatial regions of the sample and processing data from the registered images to obtain integrated image data comprising information about the sa

A method for processing image data of a sample is disclosed. The method comprises registering a first and a second images of at least partially overlapping spatial regions of the sample and processing data from the registered images to obtain integrated image data comprising information about the sample, said information being additional to that available from said first and second images.

대표청구항 ▼

1. An image data processing method comprising: registering a first set of 3D image data and a second set of 3D image data of at least partially overlapping spatial regions of a porous sample material to achieve voxel alignment, said first set of 3D image data corresponding to a dry sample of said sa

1. An image data processing method comprising: registering a first set of 3D image data and a second set of 3D image data of at least partially overlapping spatial regions of a porous sample material to achieve voxel alignment, said first set of 3D image data corresponding to a dry sample of said sample material and said second set of 3D image data corresponding to a fluid saturated sample of said sample material; andprocessing said registered image data to obtain integrated image data by superposition of voxels of said first set of 3D image data with correspondingly registered voxels of the second set of 3D data image to obtain a quantitative estimate of the spatial distribution of a property of the sample material not available from said first set of 3D image data and said second set of 3D image data alone. 2. The method of claim 1, wherein said registering is performed by an iterative spatial transformation algorithm using a quality metric. 3. An image data processing apparatus comprising: a memory storing a first set of 3D image data and a second set of 3D image data of at least partially overlapping spatial regions of a sample material, said first set of 3D image data corresponding to a dry sample of said sample material and said second set of 3D image data corresponding to a fluid saturated sample of said sample material; anda processing circuit configured to register said first set of 3D image data and said second set of 3D image data to achieve voxel alignment, and process said registered image data to obtain integrated image data by superposition of voxels of said first set of 3D image data with correspondingly registered voxels of the second set of 3D image data to obtain a quantitative estimate of the spatial distribution of a property of the sample material not available from said first set of 3D image data and said second set of 3D image data alone. 4. The apparatus of claim 3, wherein said processing circuit performs said registering by an iterative spatial transformation algorithm and quality metric. 5. The apparatus of claim 3, wherein said processing circuit comprises at least two processors configured to perform said registration and processing as a parallel task and/or parallel data workflow. 6. A computer program product comprising a non-transitory computer useable medium including a computer readable program, wherein the computer readable program, when executed on a computer, causes the computer to: register a first set of 3D image data and a second set of 3D image data of at least partially overlapping spatial regions of a porous sample material to achieve voxel alignment, said first set of 3D image data corresponding to a dry sample of said sample material and said second set of 3D image data corresponding to a fluid saturated sample of said sample material; and process said registered image data to obtain integrated image data by superposition of voxels of said first set of 3D image data with correspondingly registered voxels of the second set of 3D image data to obtain a quantitative estimate of the spatial distribution of a property of the sample material not available from said first set of 3D image data and said second set of 3D image data alone.