Notice: Function Pods Templates was called incorrectly. Pod Template PHP code is no longer actively supported and will be completely removed in Pods 3.3 Please see Debugging in WordPress for more information. (This message was added in version 3.0.) in /var/www/html/wp-includes/functions.php on line 6085
Deprecated: Pod Template PHP code has been deprecated, please use WP Templates instead of embedding PHP. has been deprecated since Pods version 2.3 with no alternative available. in /var/www/html/wp-content/plugins/pods/includes/general.php on line 1037
Lung Phantom | Lung Phantom
DOI: 10.7937/k9/tcia.2015.08a1ixoo | Data Citation Required | Image Collection
| Location | Species | Subjects | Data Types | Cancer Types | Size | Status | Updated | |
|---|---|---|---|---|---|---|---|---|
| Lung Phantom | Human | 1 | CT | Phantom | Image Analyses | Public, Complete | 2020/09/25 |
Summary
The FDA anthropomorphic thorax phantom with 12 phantom lesions of different sizes (10 and 20 mm in effective diameter), shapes (spherical, elliptical, lobulated, and spiculated), and densities (−630,−10, and +100 HU) was scanned at Columbia University Medical Center on a 64-detector row scanner (LightSpeed VCT, GE Healthcare, Milwaukee, WI). The CT scanning parameters were 120 kVp, 100 mAs, 64x0.625 collimation, and pitch of 1.375. The images were reconstructed with the lung kernel using 1.25 mm slice thickness.
This data set was provided to TCIA for use in the National Cancer Institute's Quantiatitive Imaging Network (QIN) Lung CT Segmentation Challenge. A TCIA Analysis Result dataset was created to enable easy re-use of the complete multi-site challenge data set. The mission of the QIN is to improve the role of quantitative imaging for clinical decision making in oncology by developing and validating data acquisition, analysis methods, and tools to tailor treatment for individual patients and predict or monitor the response to drug or radiation therapy. More information is available on the Quantitative Imaging Network Collections page. Interested investigators can apply to the QIN at: Quantitative Imaging for Evaluation of Responses to Cancer Therapies (U01).About the NCI QIN
Data Access
Version 2: Updated 2020/09/25
9/25/2020: Adjusted this table and *.tcia manifest files to remove segmentations built in Multi-site collection of Lung CT data with Nodule Segmentations. DOI: https://doi.org/10.7937/K9/TCIA.2015.1BUVFJR7 . Note that the “Search” will take you to both until you uncheck the “Include third party” button.
| Title | Data Type | Format | Access Points | Subjects | License | |||
|---|---|---|---|---|---|---|---|---|
| Images | CT | DICOM | Download requires NBIA Data Retriever |
1 | 1 | 1 | 237 | CC BY 3.0 |
| DICOM Metadata Digest | CSV | CC BY 3.0 |
Additional Resources for this Dataset
The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data.
Citations & Data Usage Policy
Data Citation Required: Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution must include the following citation, including the Digital Object Identifier:
Data Citation |
|
|
Zhao, B. (2015). Lung Phantom (Version 2) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/k9/tcia.2015.08a1ixoo |
Related Publications
Publications by the Dataset Authors
The authors recommended this paper as the best source of additional information about this dataset:
No publications by dataset authors were found.
Research Community Publications
No research community publications were found.
Previous Versions
Version 1: Updated 2014/08/26
(deprecated)
| Title | Data Type | Format | Access Points | License |
|---|