A Supervoxel-Based Solution to Resume Segmentation for Interactive Correction by Differential Image-Foresting Transforms

Autor(es)

Moreira Tavares, Anderson Carlos ; Vechiatto Miranda, Paulo Andre ; Spina, Thiago Vallin ; Falcao, Alexandre Xavier ; Angulo, J ; VelascoForero, S ; Meyer, F

• Tipo de documento: Artigo Científico
• Fonte: MATHEMATICAL MORPHOLOGY AND ITS APPLICATIONS TO SIGNAL AND IMAGE PROCESSING (ISMM 2017); v. 10225, p. 12-pg., 2017-01-01.

Resumo

The foolproof segmentation of 3D anatomical structures in medical images is usually a challenging task, which makes automatic results often far from desirable and interactive repairs necessary. In the past, we introduced a first solution to resume segmentation from third-party software into an initial optimum-path forest for interactive correction by differential image foresting transforms (DIFTs). Here, we present a new method that estimates the initial forest (input segmentation) rooted at more regularly separated seed voxels to facilitate interactive editing. The forest is a supervoxel segmentation from seeds that result from a sequence of image foresting transforms to conform as much as possible the supervoxel boundaries to the boundaries of the object in the input segmentation. We demonstrate the advantages of the new method over the previous one by using a robot user, as an impartial way to correct brain segmentation in MR-T1 images. (AU)

• Processo FAPESP: 16/11853-2 - SAMSAM: Segmentação para Análise e Medidas do Meristema Apical de Plantas
• Beneficiário: Thiago Vallin Spina
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado
• Processo FAPESP: 15/09446-7 - Segmentação de Imagens Médicas: Como integrar modelos de aparência/forma e correção interativa com o mínimo de intervenção do usuário?
• Beneficiário: Thiago Vallin Spina
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 11/50761-2 - Modelos e métodos de e-Science para ciências da vida e agrárias
• Beneficiário: Roberto Marcondes Cesar Junior
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Processo FAPESP: 14/12236-1 - AnImaLS: Anotação de Imagem em Larga Escala: o que máquinas e especialistas podem aprender interagindo?
• Beneficiário: Alexandre Xavier Falcão
• Modalidade de apoio: Auxílio à Pesquisa - Temático