Overlays management for brain volumetric

Abstract

For the neuroscience community, quantitative analysis of clinical imaging data is a promising active area of research for precision medicine, early assessment of response to treatment, and objective characterization of disease. Interoperability, data exchange and the ability to extract information from neuroimaging are becoming increasingly important given the growth of quantitative analysis methods that are proposed in this regard. The persistence of segmentations as regions of interest in medical images makes possible to communicate relevant diagnostics information between specialists in neuroscience. The standard way to store this information inside a medical image file is through the use of overlays as defined in the DICOM standard.

Many PACS viewer manufacturers either develop non-standard overlays implementations (e.g. using xml) to store annotations or do not consider the reading or writing of overlay planes, in accordance with DICOM specifications. This problem is present in PACS solutions deployed in Cuban Healthcare System as well. Imagis 3.0 is a tool that allows the conversion of a user's segmentation information in commonly used research formats into standard DICOM representation. Like its previous versions, it offers the user a set of tools that facilitate the work of specialists and doctors and increase the efficiency of the health system. Like its previous versions, it offers the user a set of tools that facilitate the work of specialists and doctors and increase the efficiency of the health system. This paper presents an overlays management module. Many publications are cited in this survey, including benchmark datasets and state of the art results. For the present perspective study, axial computerized tomography (CT) of head from more than 120 patients. In particular, we present some software components specialized in: 1) coding segmentations of regions of interest as overlays according to DICOM standard; 2) storing until 16 independent layers in accordance with DICOM standard. This makes possible to define multiples ROIs in one image, and preserves the annotation creation order for teaching or research purposes. Moreover, this module is considered a tool to make cuantitative evaluations.