{"id":5664,"date":"2023-09-04T03:16:18","date_gmt":"2023-09-04T03:16:18","guid":{"rendered":"https:\/\/cm.vastapps.dev\/tcia-collection\/qin-pet-phantom\/"},"modified":"2023-09-13T12:02:09","modified_gmt":"2023-09-13T12:02:09","slug":"qin-pet-phantom","status":"publish","type":"tcia_collection","link":"https:\/\/cm.vastapps.dev\/tcia-collection\/qin-pet-phantom\/","title":{"rendered":"QIN-PET-PHANTOM"},"featured_media":0,"template":"","citation-tax":[],"cancer_types":["Phantom"],"citations":[4594,2925],"collection_doi":"10.7937\/k9\/tcia.2015.zpukhckb","collection_download_info":"Click the Versions tab for more info about data releases.","collection_downloads":[5208,5209],"full_export":"
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Summary<\/h2>

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 <\/sup>(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. \u00a0These figures are located in the Detailed Description tab below.<\/p>

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About the NCI QIN<\/h4>

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\u00a0Quantitative Imaging Network Collections<\/a>\u00a0page. Interested investigators can apply to the QIN at:\u00a0Quantitative Imaging for Evaluation of Responses to Cancer Therapies (U01) PAR-11-150<\/a>.<\/p>

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