qgao21 / CoreDiff

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About the projection data of Mayo 2016 dataset #7

Open mkxyz-123 opened 6 months ago

mkxyz-123 commented 6 months ago

Hello! I wonder why the size of the projection data is 64x736? Some of the literature I found said that the size of the projection data should be 2304x736. Why does the projection data look so narrow, not like the general projected data that I've seen before. EO7@Y(7(1NZ)CQJ{NJU3SM

mkxyz-123 commented 6 months ago

The general projected data that I've seen before in a literature. MURSM}(A@O76$5PKJAKEK1M

qgao21 commented 6 months ago

Because Mayo 2016 provides spiral CT projection data, while the images you supplied are either fan beam or parallel beam CT projection data. A rebinning operation is necessary to convert the spiral CT data into fan beam geometry for reconstruction using the FBP algorithm.

Each DICOM-CT-PD folder contains a 'txt' file detailing the data specifics, with '64' and '736' representing the detector's rows and columns, respectively, and '2304' indicating the number of projections per rotation. To work with this projection data, you need to explore spiral CT reconstruction algorithms. If you only want to process fan beam projection data, consider utilizing the MIRT or ASTRA toolkits for forward projection.

image
mkxyz-123 commented 5 months ago

Because Mayo 2016 provides spiral CT projection data, while the images you supplied are either fan beam or parallel beam CT projection data. A rebinning operation is necessary to convert the spiral CT data into fan beam geometry for reconstruction using the FBP algorithm.

Each DICOM-CT-PD folder contains a 'txt' file detailing the data specifics, with '64' and '736' representing the detector's rows and columns, respectively, and '2304' indicating the number of projections per rotation. To work with this projection data, you need to explore spiral CT reconstruction algorithms. If you only want to process fan beam projection data, consider utilizing the MIRT or ASTRA toolkits for forward projection.

image

Thank you soooooo much! You helped me a lot.