3D segmentation of lungs with juxta-pleural tumor using the improved active shape model approach.

Background And Objective: At present, there are many methods for pathological lung segmentation. However, there are still two unresolved problems. (1) The search steps in traditional ASM is a least square optimization method, which is sensitive to outlier marker points, and it makes the profile update to the transition area in the middle of normal lung tissue and tumor rather than a true lung contour.

[Research on Segmentation Method of Lung with Juxta-pleural Tumor Based on the Improved Active Shape Model].

Lung segmentation is the premise of the computer aided diagnosis of lung cancer.The traditional segmentation method based on local low-level features can not get the correct result when a tumor is connected with pleura due to their similar computed tomography(CT)values.Moreover,because the big size of tumor leads to the loss of a large part of lung area,the traditional segmentation methods of lung with juxta-pleural nodule whose diameter is less than 3cm are not suitable.

The spatio-temporal specificity of PYR1/PYL/RCAR ABA receptors in response to developmental and environmental cues.

From the different functions ABA exerted between the aboveground and belowground, seed and vegetative tissues, primary root and lateral root, stimulating stomatal closure and inhibiting stomatal opening, between young and senescence leaves in stomatal movement, among different cells in plasma membrane water permeability, we addressed the organ-, tissue-, cell-, physiological processes-, and development stage specificities of PYR1/PYL/RCAR ABA receptors. This specificity may reflect the spatio-temporal properties of water potentials as well as the endogenous ABA levels in detail context, which plus the various affinities among this receptor families, resulted in the specificity of the transcripts as well as genes functions. PYR1/PYL/RCAR ABA receptors may integrate the message of ABA resource (local signaling or long distance signaling) and concentration, thus fine-tuning ABA response to environmental- and developmental cues.

Juxta-vascular nodule segmentation based on flow entropy and geodesic distance.

Computed aided diagnosis of lung CT data is a new quantitative analysis technique to distinguish malignant nodules from benign ones. Nodule growth rate is a key indicator to discriminate between benign and malignant nodules. Accurate nodule segmentation is the essential for calculating the nodule growth rate.