Automatic segmentation of lung lobes from CT data is becoming clinically relevant as an
enabler for, eg, lobe-based quantitative analysis for diagnostics or more accurate …

Purpose The major hurdle for three-dimensional display of lung lobes is the automatic
recognition of lobar fissures, boundaries of lung lobes. Lobar fissures are difficult to …

Pulmonary interlobar fissures are important anatomic structures in human lungs and are
useful in locating and classifying lung abnormalities. Automatic segmentation of fissures is a …

Intensity Modulated Radiotherapy is a new technique enabling the sculpting of the 3D
radiation dose. It enables to modulate the delivery of the dose inside the malignant areas …

Various applications in the field of pulmonary image analysis require a registration of CT
images of the lung. For example, a registration-based estimation of the breathing motion is …

The positions of the lobar fissures are of growing interest as computer-based quantitative
measures to detect early pathologies and to predict or measure outcomes emerge. While we …

Bronchopulmonary segments are subdivisions of lung lobes and provide detailed
description of lung anatomy. They are used in surgical resection planning and airway …

In the medical domain of lung cancer diagnosis, automatic detection of lung nodules
depends on the segmentation of different components related to pulmonary like airways …

Imaging pulmonary fissures by CT provides useful information on diagnosis of pulmonary
diseases. Automatic segmentation of fissures is a challenging task due to the variable …

The interplay of mechanical forces transduces diverse physico-biochemical processes to
influence lung morphogenesis, growth, maturation, remodeling and repair. Because tissue …