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Dear participants of the Ultra-Low Dose PET Imaging (UDPET) Challenge,

We would like to express our sincere gratitude for your interest and valuable contributions to the UDPET imaging challenge. Thanks to your overwhelming response, the UDPET challenge 2022 was a resounding success. As a result, we are thrilled to announce the continuation of the challenge with UDPET 2023. This year, we have accumulated a remarkable total of 1525 subjects for whole-body PET imaging.

 In contrast to last year's challenge, we have decided to hold a single round of the competition. The award ceremony will take place during MICCAI 2023 in Vancouver on October 12th.  A comprehensive workshop will be held at IEEE MIC 2023 on November 11th. The top three teams will have the opportunity to choose the event at which they will receive their awards. Additionally, participants ranked within the top 10 will be invited to present their work at the IEEE MIC Ultra-Low-Dose PET Imaging workshop, which can be found at the following link: (https://nssmic.ieee.org/2023/program/).

 Please take note of the important dates for the challenge:

  Availability of the test dataset and evaluation code: Aug. 1st

  Pre-register via Email to song.xue@unibe.ch to confirm a submission: Sept. 17th Oct. 15th (DDL_1)

  Final submission deadline:  Sept. 24th Oct. 22nd (DDL_2)

  Notification of rankings and invitations will be sent out on: Oct. 1st   Oct. 29th

 We will provide updates and announcements regarding the challenge on our website: https://ultra-low-dose-pet.grand-challenge.org/

 To ensure successful participation and eligibility for prizes, all participants must adhere to the following requirements:

  Pre-register via Email before DDL_1

  Submit the necessary material before the DDL_2 of 23:59 (pacific day time)

    • A short paper or abstract about your method
    • Algorithms scripts or link to your Github repository
    • Generated Full dose image, recovered from dose reduced images in Test dataset

Should you have any questions or require further clarification, please do not hesitate to contact us. We wish you the best of luck in the UDPET challenge.

Best regards,

Kuangyu Shi, Rui Guo, Song Xue, Hanzhong Wang, Axel Rominger and Biao Li