Published on 06 August 2024

Head Neck CBCT CT datasets

View Dataset
Huazhong University of Science and Technology

Description

Planning CT images were acquired using the Brilliance CT Big Bore Scanner (Phillips Medical Systems, Andover, MA). Each CT image data includes 90-176 slices with a thickness of 3mm, and each slice has 512×512 voxels with a resolution of 1.1719 mm. Multiple CBCT images were acquired using an onboard Imager (OBI, Varian Medical Systems, Palo Alto, CA) in full-fan mode by Varian Edge linear accelerator during treatment, but only the images obtained on the first treatment day were used in this study. Each CBCT data contains 88 slices with a thickness of 3mm. Each slice has 270×270 voxels with a resolution of 1mm. All the scans have ground truth segmentations, each of which contains 5 anatomical structures.To keep the same spatial resolution between CT images and CBCT images, we resampled the CT image to a resolution of 1 mm×1 mm×3 mm. Both CT and CBCT images contain extraneous information, such as background regions, shoulder regions, and treatment beds. Thus, we cropped all CT and CBCT images to a standardized size and removed any irrelevant information within the field of view (FOV) to ensure that the images shared a consistent receptive field that covered only the head-neck region of interest. The final CT and CBCT images contain 240×240×64 voxels with a resolution of 1 mm×1 mm×3 mm.

Citations (1)

Mentions (0)

Metrics

Dataset Index

1.9

FAIR Score

73%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

Assigned Domain

Subfield

Biomedical Engineering

Field

Engineering

Domain

Physical Sciences

Confidence Score

58%

Source

Scholar Data Model

Normalization Factors

FT

15.38

CTw

1.00

MTw

1.00