English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

A large percentage of apples are affected by internal disorders afterlong-term storage, which makes them unacceptable in the supply chain. CTimaging is a promising technique for in-line detection of these disorders.Therefore, it is crucial to understand how different disorders affect the imagefeatures that can be observed in CT scans. This paper presents a workflow forcreating datasets of image pairs of photographs of apple slices and theircorresponding CT slices. By having CT and photographic images of the same partof the apple, the complementary information in both images can be used to studythe processes underlying internal disorders and how internal disorders can bemeasured in CT images. The workflow includes data acquisition, imagesegmentation, image registration, and validation methods. The imageregistration method aligns all available slices of an apple within a singleoptimization problem, assuming that the slices are parallel. This methodoutperformed optimizing the alignment separately for each slice. The workflowwas applied to create a dataset of 1347 slice photographs and theircorresponding CT slices. The dataset was acquired from 107 'Kanzi' apples thathad been stored in controlled atmosphere (CA) storage for 8 months. In thisdataset, the distance between annotations in the slice photograph and thematching CT slice was, on average, $1.47 \pm 0.40$ mm. Our workflow allowscollecting large datasets of accurately aligned photo-CT image pairs, which canhelp distinguish internal disorders with a similar appearance on CT. Withslight modifications, a similar workflow can be applied to other fruits or MRIinstead of CT scans.

Joint 2D to 3D image registration workflow for comparing multiple slice photographs and CT scans of apple fruit with internal disorders