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Fig. 1 | BMC Medical Imaging

Fig. 1

From: A new tool for assessing Pectus Excavatum by a semi-automatic image processing pipeline calculating the classical severity indexes and a new marker: the Volumetric Correction Index

Fig. 1

Image analysis framework is composed of four interconnected elements. a First module consists in pre-processing of selected slices, that is contrast stretching and cropping on the area of interest. Outcome of this step is a binary mask, used as input for subsequent pipeline. b Second module is represented by quantification of the chest depression. Outer chest contour detection serves as a preliminary step for depression computation, quantified as the portion between an elliptic profile and external contour. c The latter is exploited for next phase, which is inner chest contour segmentation. This is performed through consecutive sub-steps, which include lung segmentation and similarity between inner and outer wall contour. d Final outcome of this pipeline allows to obtain thoracic indexes on the reference slice as well as new volumetric marker. All these measures are saved in a Microsoft Excel® file per each subject

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