The challenge is based on the publication by Collins et al. (2017) appearing in the IEEE Transactions on Medical Imaging (vol. 36, no. 7, pp. 1502-1510) and is described by the SPIE Medical Imaging 2019 Proceedings paper Conference Paper The Image-to-Physical Liver Registration Sparse Data Challenge
please cite both of these if using data within a paper). To describe briefly, there are surgical workflow advantages if one could align preoperative liver image volume data to its intraoperative physical counterpart using sparse surface data visible during the procedure at presentation. We have developed a novel human-to-phantom framework that allows us to transpose real operating room (OR) data patterns that we acquired clinically using an optically tracked stylus onto a quantitative deforming phantom environment. This framework allows the development and testing of image-to-physical registration algorithms in the presence of deformation with quantitative subsurface targets for assessing error and within the context of realistic OR data acquisition. We note that the deformations we have imposed on the phantom mimic patterns of deformation we have seen in the OR. Specifically, the presentation of the organ allows the anterior surface of the organ to be visible at various levels of extent, and deformations are associated with the surgical packing of the organ on the posterior side of the organ. For this challenge, these states can be assumed. As part of this new challenge, we have developed a new phantom and more data patterns not previously used. We also have many more subsurface targets for characterization than in previous work (n=159 targets). In order to formerly enter your result for the challenge and have it posted on the Final Result Dashboard as complete, results need to be provided for all 112 data sets. You do not need to submit results to all data sets to interact with the challenge. The Dashboard will also track partial submissions, i.e. you can provide subsets for analysis while you are developing and these results will be provided on the Dashboard. Only latest results will be retained. *** Also, new to the challenge, on the data site, we do have sample results among the data set available so that you can check your algorithms before submitting to the dashboard.***The challenge was officially released in February of 2019. With respect to official end-dates to the challenge, the intent is to leave this available to the community for an extended period of time. With sufficient participation, a review and analysis will be forthcoming.
Michael I Miga
Our first extramural group submitted to the dashboard. Very excited.
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