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Summary

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locationhttps://www.cancerimagingarchive.net/collection/4d-lung/

Excerpt

This data collection consists of images acquired during chemoradiotherapy of 20 locally-advanced, non-small cell lung cancer patients. The images include four-dimensional (4D) fan beam (4D-FBCT) and 4D cone beam CT (4D-CBCT). All patients underwent concurrent radiochemotherapy to a total dose of 64.8-70 Gy using daily 1.8 or 2 Gy fractions. 

4D-FBCT images were acquired on a 16-slice helical CT scanner (Brilliance Big Bore, Philips Medical Systems, Andover, MA) as respiration-correlated CTs with 10 breathing phases (0 to 90%, phase-based binning) and 3 mm slice thickness. 4D-FBCT images were acquired during simulation, prior to therapy, and used for therapy planning. In 14 of the 20 subjects, 4D-FBCTs were also acquired on the same scanner weekly during therapy. 4D-CBCT images were acquired on a commercial CBCT scanner (On-Board Imager™, Varian Medical Systems, Inc.). An external surrogate (Real-time Position Management, Varian Medical Systems, Inc.) was integrated into the CBCT acquisition system to stamp each CBCT projection with the surrogate respiratory signal through in-house software and hardware tools. Approximately 2500 projections were acquired over a period of 8-10 minutes in half-fan mode with half bow-tie filter. The technique was 125 kVp, 20 mA, and 20 ms in a single 360° slow gantry arc. Using the external surrogate, the CBCT projections were sorted into 10 breathing phases (0 to 90%, phase-based binning) and reconstructed with an in-house FDK reconstruction algorithm.

Audio-visual biofeedback was performed for all 4D-FBCT and 4D-CBCT acquisitions in all subjects. A single Radiation Oncologist delineated targets and organs at risk in all 4D-FBCT and a limited number of 4D-CBCT images, on all 10 phases per scan. Seven of the subjects had gold coils implanted as fiducial markers in or near the tumor

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For questions and information regarding this dataset, please contact Geoff Hugo, gdhugo@wustl.edu.

Data collection and analysis was supported by NIH P01CA116602.

 

Data Access

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Detailed Description

6,690

Supporting Documentation

Localtab Group
Localtab
activetrue
titleData Access
Data TypeDownload all or Query/Filter
Images (DICOM, 183GB)
Localtab
titleDetailed Description

Collection Statistics

 

Modalities

CT, RTSTRUCT

Number of Patients

20

Number of Studies

589

Number of Series

Number of Images

347,330

Image Size (GB)183

The dataset is most fully described in detail in Balik et al.Seven of the subjects had gold coils implanted as fiducial markers in or near the tumor. The implantation procedure and details of marker location are described in detail in Roman et al.2

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Info
titleReferences

1 S. Balik et al., “Evaluation of 4-Dimensional Computed Tomography to 4-Dimensional Cone-Beam Computed Tomography Deformable Image Registration for Lung Cancer Adaptive Radiation Therapy.” Int. J. Radiat. Oncol. Biol. Phys. 86, 372–9 (2013) PMCID: PMC3647023.

2 N.O. Roman, W. Shepherd, N. Mukhopadhyay, G.D. Hugo, and E. Weiss, “Interfractional Positional Variability of Fiducial Markers and Primary Tumors in Locally Advanced Non-Small-Cell Lung Cancer during Audiovisual Biofeedback Radiotherapy.” Int. J. Radiat. Oncol. Biol. Phys. 83, 1566–72 (2012).

Acknowledgements

Data collection and analysis was supported by NIH P01CA116602.


Localtab Group



Localtab
activetrue
titleCitations & Data Usage PolicyData Access

Data Access

Data TypeDownload all or Query/FilterLicense
Images and Radiation Therapy Structures (DICOM, 183GB)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/21267414/doiJNLP-Y71kLpdQ.tcia?version=1&modificationDate=1534787014809&api=v2



Tcia button generator
labelSearch
urlhttps://nbia.cancerimagingarchive.net/nbia-search/?CollectionCriteria=4D-Lung



(Download requires NBIA Data Retriever)

Tcia cc by 3

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Nci_crdc additional resources




Localtab
titleDetailed Description

Detailed Description


Collection Statistics


Modalities

CT, RTSTRUCT

Number of Participants

20

Number of Studies

589

Number of Series

6,690

Number of Images

347,330

Image Size (GB)183





Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy 

Tcia limited license policy

Citations & Data Usage Policy 

 This collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License.  See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to help@cancerimagingarchive.net.

Please be sure to include the following citations in your work if you use this data set:

Info
titleData Citation

Hugo, Geoffrey G. D., Weiss, ElisabethE., Sleeman, William W. C., Balik, SalimS., Keall, Paul P. J., Lu, JunJ., & Williamson, Jeffrey J. F. (2016). Data from 4D Lung Imaging of NSCLC Patients (Version 2) [Data set]. The Cancer Imaging Archive. http https://doi.org/10.7937/K9/TCIA.2016.ELN8YGLE


Info
titlePublication Citation

Hugo, G. D., Weiss, E., Sleeman, W. C., Balik, S., Keall, P. J., Lu, J. and , & Williamson, J. F. (2017), . A longitudinal four-dimensional computed tomography and cone beam computed tomography dataset for image-guided radiation therapy research in lung cancer. Med. Phys., 44: 762–771. doi:In Medical Physics (Vol. 44, Issue 2, pp. 762–771). Wiley. https://doi.org/10.1002/mp.12059


Info
titlePublication Citation

Balik, S. Balik et al., “Evaluation of 4-Dimensional ., Weiss, E., Jan, N., Roman, N., Sleeman, W. C., Fatyga, M., Christensen, G. E., Zhang, C., Murphy, M. J., Lu, J., Keall, P., Williamson, J. F., & Hugo, G. D. (2013). Evaluation of 4-dimensional Computed Tomography to 4-Dimensional dimensional Cone-Beam Computed Tomography Deformable Image Registration for Lung Cancer Adaptive Radiation Therapy. ” Int. J. Radiat. Oncol. Biol. Phys. 86, 372–9 (2013) PMCID: PMC3647023.In International Journal of Radiation Oncology*Biology*Physics (Vol. 86, Issue 2, pp. 372–379). Elsevier BV. PMCID: PMC3647023. https://doi.org/10.1016/j.ijrobp.2012.12.023


Info
titlePublication Citation

Roman, N. O. Roman, Shepherd, W. Shepherd, Mukhopadhyay, N. Mukhopadhyay, Hugo, G. D. Hugo, & Weiss, and E. Weiss, “Interfractional . (2012). Interfractional Positional Variability of Fiducial Markers and Primary Tumors in Locally Advanced Non-Small-Cell Lung Cancer during During Audiovisual Biofeedback Radiotherapy. ” Int. J. Radiat. Oncol. Biol. Phys. 83, 1566–72 (2012).In International Journal of Radiation Oncology*Biology*Physics (Vol. 83, Issue 5, pp. 1566–1572). Elsevier BV. https://doi.org/10.1016/j.ijrobp.2011.10.051


Info
titleTCIA Citation

Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. (paper)DOI: 10.1007/s10278-013-9622-7


Other Publications Using This Data

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Localtab
titleVersions

Version 2 (Current): Updated 2016/10/19

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Any download of this dataset prior to October 18 th 2016 contains data that was updated after that date by the investigators. It is recommended that you download a fresh copy before applying your analysis.


Data TypeDownload all or Query/Filter
Images (DICOM, 183GB)
Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/21267414/doiJNLP-Y71kLpdQ.tcia?api=v2



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labelSearch
urlhttps://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=4D-Lung


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Version 1 : 2015/09/14


Data TypeDownload all or Query/Filter
Images (DICOM, 183GB)

 


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/21267414/doiJNLP-Y71kLpdQ.jnlp?api=v2



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