Model-based registration for pneumothorax deformation analysis using intraoperative cone-beam CT images

Abstract

Because the lung deforms during surgery because of pneumothorax, it is important to be able to track the location of a tumor. Deformation of the whole lung can be estimated using intraoperative cone-beam CT (CBCT) images. In this study, we used deformable mesh registration methods for paired CBCT images in the inflated and deflated states, and analyzed their deformation. We proposed a deformable mesh registration framework for deformations of partial organ shapes involving large deformation and rotation. Experimental results showed that the proposed methods reduced errors in point-to-point correspondence. As a result of registration using surgical clips placed on the lung surface during imaging, it was confirmed that an average error of 3.9 mm occurred in eight cases. The result of analysis showed that both tissue rotation and contraction had large effects on displacement.

Cone-Beam Computed Tomography Image Features under Intelligent Three-Dimensional Reconstruction Algorithm in the Evaluation of Intraoperative and Postoperative Curative Effect of Dental Pulp Disease Using Root Canal Therapy

“…However, extracting two-dimensional measurement results from three-dimensional images will cause the loss of key three-dimensional information and reduce the overall value of the three-dimensional data set. In addition, CBCT also uses shape correspondence, which determines the displacement of a given landmark between two time points, and represents these as vector and color-coded maps to depict the direction and amount of movement [21,22]. In the future, similar methods may replace or supplement the linear and angular measurements produced by three-dimensional or planar reconstruction to process and analyze CBCT images.…”

Analysis of Heterogeneity of Pneumothorax-associated Deformation using Model-based Registration

“…Because CT imaging is not generally available during surgery, it will be challenging to construct a patient-specific image database of collapsed lungs in the intraoperative condition. However, we have begun to analyze intraoperative deformation using CBCT images [33]. Despite the limited measurement area, CBCT imaging is clinically feasible and will be useful for modeling intraoperative pneumothorax-associated deformations in real patients.…”

Evolution of Three-Dimensional Computed Tomography Imaging in Thoracic Surgery

“…After surface deformation analysis of collapsed lungs using model-based shape matching in several experimental studies by Nakao et al, a novel algorithm for deflated deformation was developed [ 65 , 66 ]. First, CT images of the lungs of 11 live beagle dogs were acquired at different bronchial pressures to analyze the deformation of the collapsed lungs [ 65 ].…”

“…First, CT images of the lungs of 11 live beagle dogs were acquired at different bronchial pressures to analyze the deformation of the collapsed lungs [ 65 ]. Then, CT images in patients with lung cancer were obtained by cone-beam CT in the inflated and deflated states to register and analyze the shapes of the lungs [ 66 ]. Using this lung deflation simulation algorithm, 3D CT images of the deflated lungs can be predicted only on the basis of preoperative CT images obtained during the inflated phase of respiration.…”