TY - GEN
T1 - An open library of CT patient projection data
AU - Chen, Baiyu
AU - Leng, Shuai
AU - Yu, Lifeng
AU - Holmes, David
AU - Fletcher, Joel
AU - McCollough, Cynthia
N1 - Funding Information:
This work was funded by National Institute of Biomedical Imaging and Bioengineering (U01 EB017185). The authors would like to thank Dr. Karl Stierstorfer and Dr. Jiang Hsieh for their help in decoding commercial CT raw data. The authors would also like to thank Dr. Gregory J. Michalak and Ms. Alice E. Huang for their help in the patient data collection.
Publisher Copyright:
© 2016 SPIE.
PY - 2016
Y1 - 2016
N2 - Lack of access to projection data from patient CT scans is a major limitation for development and validation of new reconstruction algorithms. To meet this critical need, we are building a library of CT patient projection data in an open and vendor-neutral format, DICOM-CT-PD, which is an extended DICOM format that contains sinogram data, acquisition geometry, patient information, and pathology identification. The library consists of scans of various types, including head scans, chest scans, abdomen scans, electrocardiogram (ECG)-gated scans, and dual-energy scans. For each scan, three types of data are provided, including DICOM-CT-PD projection data at various dose levels, reconstructed CT images, and a free-form text file. Several instructional documents are provided to help the users extract information from DICOM-CT-PD files, including a dictionary file for the DICOM-CT-PD format, a DICOM-CT-PD reader, and a user manual. Radiologist detection performance based on the reconstructed CT images is also provided. So far 328 head cases, 228 chest cases, and 228 abdomen cases have been collected for potential inclusion. The final library will include a selection of 50 head, chest, and abdomen scans each from at least two different manufacturers, and a few ECG-gated scans and dual-source, dual-energy scans. It will be freely available to academic researchers, and is expected to greatly facilitate the development and validation of CT reconstruction algorithms.
AB - Lack of access to projection data from patient CT scans is a major limitation for development and validation of new reconstruction algorithms. To meet this critical need, we are building a library of CT patient projection data in an open and vendor-neutral format, DICOM-CT-PD, which is an extended DICOM format that contains sinogram data, acquisition geometry, patient information, and pathology identification. The library consists of scans of various types, including head scans, chest scans, abdomen scans, electrocardiogram (ECG)-gated scans, and dual-energy scans. For each scan, three types of data are provided, including DICOM-CT-PD projection data at various dose levels, reconstructed CT images, and a free-form text file. Several instructional documents are provided to help the users extract information from DICOM-CT-PD files, including a dictionary file for the DICOM-CT-PD format, a DICOM-CT-PD reader, and a user manual. Radiologist detection performance based on the reconstructed CT images is also provided. So far 328 head cases, 228 chest cases, and 228 abdomen cases have been collected for potential inclusion. The final library will include a selection of 50 head, chest, and abdomen scans each from at least two different manufacturers, and a few ECG-gated scans and dual-source, dual-energy scans. It will be freely available to academic researchers, and is expected to greatly facilitate the development and validation of CT reconstruction algorithms.
KW - Computed tomography (CT)
KW - DICOM-CTPD
KW - patient data library
KW - projection data
KW - reconstruction
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U2 - 10.1117/12.2216823
DO - 10.1117/12.2216823
M3 - Conference contribution
AN - SCOPUS:84978807227
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2016
A2 - Kontos, Despina
A2 - Lo, Joseph Y.
A2 - Flohr, Thomas G.
PB - SPIE
T2 - Medical Imaging 2016: Physics of Medical Imaging
Y2 - 28 February 2016 through 2 March 2016
ER -