The Cancer Imaging Archive (TCIA) Public Access

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Summary

This collection consists of positron emission tomography (PET) phantom scans originally utilized by the Quantitative Imaging Network (QIN) PET Segmentation Challenge to assess the variability of segmentations and subsequently derived quantitative analysis results on phantom PET scans with known ground truth.The phantom was provided by Dr. Sunderland at the University of Iowa (supported by grant R01CA169072 - Harmonized PET Reconstructions for Cancer Clinical Trials) and is based on the NEMA IEC Body Phantom SetTM (Model PET/IEC-BODY/P) with a set of 6 custom made (via rapid prototyping) spheres & ellipses (Fig. 1). The phantom was scanned at two QIN sites (University of Iowa and University of Washington) with different scanners, following a protocol that yields four image sets (Fig. 2) per site. The DICOM PET images are organized as shown in Fig. 3.

Please send questions regarding the QIN PET to qin_pet_challenge@iibi.uiowa.edu.

 

Fig. 1. Phantom used in the QIN PET challenge.

Fig. 1. Phantom used in the QIN PET challenge.

 

Fig. 2. Overview of image sets.

 


Fig. 3. Organization of DICOM PET scans.

About the NCI QIN

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) PAR-11-150.

Data Access

Imaging Data

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You can view and download these images on The Cancer Imaging Archive (TCIA) by clicking  and selecting the QIN PET Phantom collection.

Collection Statistics

Updated 2014/09/04

Modalities

PT

Number of Patients

2

Number of Studies

4

Number of Series

44

Number of Images

2,816

Images Size (GB)0.246

If you are unsure how to download this collection, please view Searching by Collection or refer to our TCIA's User's Guide for more detailed instructions on using the site.

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