Child pages
  • QIBA Anthropomorphic Abdominal Phantom CT Scans (QIBA-CT-Liver-Phantom)

Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

Summary

Excerpt

This database contains a collection of three sets of CT scan images acquired from an anthropomorphic abdominal phantom with removable liver inserts. The anthropomorphic phantoms were designed by a group of scientists from FDA and Columbia University Medical Center and custom manufactured by QRM (Moehrendorf, Germany). Data sets #1 (AP phantom) & #2 (PVP phantom): Two liver inserts, each containing 19 embedded synthetic lesions with known volumes of varying diameter (6–40 mm), shape, contrast (10–65 HU), and density (homogenous and mixed) were designed to have liver parenchyma and lesion CT values simulating arterial phase (AP phantom) and portal venous phase (PVP phantom) imaging, respectively. The two phantoms were scanned using two 64-slice multi-detector helical CT scanners (GE 750HD and Siemens Biograph mCT) across a wide range of abdominal imaging protocols, including three effective mAs (50, 100, 250), two pitches (GE/Siemens: 1.375 and 0.983/1.35 and 1.0), four slice thicknesses (GE/Siemens: 0.625, 1.25, 2.5, and 5 mm/0.6, 1.5, 3, and 5 mm), and two convolution kernels (GE/Siemens: Standard and Soft/B20f and B30f). Two repeated scans were performed for each protocol and for each phantom. Dataset #3 (IR phantom): One non-uniform liver insert was filled with an in-house made gelatin-based background, and varied concentrations of gelatin, salt, and water were used to mimic normal liver tissue and focal fat at the arterial phase. Ten spherical lesions of five sizes (20, 14, 10, 7, and 5 mm in diameter) and two radiodensities (95 and 110 HU) were placed on the border between the fatty and normal parenchyma. The phantom was imaged with a CT scanner (GE 750HD) across a set of imaging protocols, including three effective mAs (50, 100, 250), three slice thicknesses (1.25, 2.5, and 5 mm) and five reconstruction algorithms (standard, AISR30%, AISR50%, ASIR70%, and VEO). Five repeated scans were performed for each protocol.Put Collection Abstract here.

...

We would like to acknowledge the individuals and institutions that have provided data for this collection:

  • Hospital/Institution Name city, state, country - Special thanks to First Last Names, degree PhD, MD, etc from the Department of xxxxxx, Additional Names from same location.

  • Continue with any names from additional submitting sites if collection consists of more that one.

    This work was supported in part by a sub-award of RSNA QIBA through NIH Grant No. HHSN268201300071C. This work was also supported, in part, by a Critical Path grant from the U.S. Food and Drug Administration. 

Localtab Group


Localtab
activetrue
titleData Access

Data Access

(Download requires the NBIA Data Retriever)

Genomics (web)

Data TypeDownload all or Query/Filter

Images, Segmentations, and Radiation Therapy Structures/Doses/Plans (DICOM, XX.X GB)

<< latter two items only if DICOM SEG/RTSTRUCT/RTDOSE/PLAN exist >>

Image AddedImage Added

Tcia button generator
Tcia button generator
labelSearch
Tissue Slide Images (SVS, XX.X GB)
Tcia button generator
Tcia button generator
Tcia button generator
labelSearch

Clinical data (CSV)

Tcia button generator
labelSearch

Click the Versions tab for more info about data releases.

Please contact help@cancerimagingarchive.net  with any questions regarding usage.


Localtab
titleDetailed Description

Detailed Description

Image Statistics


Modalities


Number of Patients


Number of Studies


Number of Series


Number of Images


Images Size (GB)

<< Add any additional information as needed below. Likely would be something from site. >>



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy


Tcia license 4 international

Tcia license 4 noncommercial


Info
titleData Citation

DOI goes here. Create using Datacite with information from Collection Approval form


Info
titlePublication Citation

We ask on the proposal form if they have ONE traditional publication they'd like users to cite.


Info
titleAcknowledgement

Only if they ask for special acknowledgments like funding sources, grant numbers, etc in their proposal.


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. DOI: 10.1007/s10278-013-9622-7

Other Publications Using This Data

TCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk.


Localtab
titleVersions

Version X (Current): Updated yyyy/mm/dd

(Requires NBIA Data Retriever.)

Data TypeDownload all or Query/Filter
Images (DICOM, xx.x GB)

Image AddedImage Added

Tcia button generator
Tcia button generator
labelSearch
Clinical Data (CSV)Link

Other (format)

Tcia button generator
labelSearch

<< One or two sentences about what you changed since last version.  No note required for version 1. >> 


...