Robust Initialization of active shape models for lung segmentation in CT scans: a feature‐based atlas approach
Model‐based segmentation methods have the advantage of incorporating a priori shape
information into the segmentation process but suffer from the drawback that the model must …
information into the segmentation process but suffer from the drawback that the model must …
A novel robust kernel principal component analysis for nonlinear statistical shape modeling from erroneous data
Abstract Statistical Shape Models (SSMs) have achieved considerable success in medical
image segmentation. A high quality SSM is able to approximate the main plausible …
image segmentation. A high quality SSM is able to approximate the main plausible …
Multivariate regression approaches for surrogate-based diffeomorphic estimation of respiratory motion in radiation therapy
Breathing-induced location uncertainties of internal structures are still a relevant issue in the
radiation therapy of thoracic and abdominal tumours. Motion compensation approaches like …
radiation therapy of thoracic and abdominal tumours. Motion compensation approaches like …
Simulation of spatiotemporal CT data sets using a 4D MRI-based lung motion model
M Marx, J Ehrhardt, R Werner, HP Schlemmer… - International journal of …, 2014 - Springer
Purpose Four-dimensional CT imaging is widely used to account for motion-related effects
during radiotherapy planning of lung cancer patients. However, 4D CT often contains motion …
during radiotherapy planning of lung cancer patients. However, 4D CT often contains motion …
Robust selection-based sparse shape model for lung cancer image segmentation
Accurate cellular level segmentation of lung cancer is the prerequisite to extract objective
morphological features in digitized pathology specimens. It is of great importance for image …
morphological features in digitized pathology specimens. It is of great importance for image …
Hybrid active shape model and deep neural network approach for lung cancer detection
Lung cancer is consistently ranked as the primary cause of cancer-related fatalities
worldwide. The timely identification and effective treatment of lung cancer play a pivotal role …
worldwide. The timely identification and effective treatment of lung cancer play a pivotal role …
A wavelet frames+ K-means based automatic method for lung area segmentation in multiple slices of CT scan
Computer assisted detection of lung nodules offers a more accurate method of nodule
detection which leads to reliable diagnosis of lung cancer. Lung segmentation is a first step …
detection which leads to reliable diagnosis of lung cancer. Lung segmentation is a first step …
Regional lung ventilation analysis using temporally resolved magnetic resonance imaging
C Kolb, A Wetscherek, MT Buzan… - Journal of computer …, 2016 - journals.lww.com
Objective We propose a computer-aided method for regional ventilation analysis and
observation of lung diseases in temporally resolved magnetic resonance imaging (4D MRI) …
observation of lung diseases in temporally resolved magnetic resonance imaging (4D MRI) …
Graph-based 4D lung segmentation in CT images with expert-guided computer-aided refinement
A new graph-based approach for simultaneous segmentation of lungs in 4D CT scans is
presented. The approach is based on a “just enough” user interaction principle and consists …
presented. The approach is based on a “just enough” user interaction principle and consists …
[图书][B] Registration methods for pulmonary image Analysis: Integration of morphological and physiological knowledge
A Schmidt-Richberg - 2014 - books.google.com
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 …
images of the lung. For example, a registration-based estimation of the breathing motion is …