Three-dimensional Imaging Simulation Research Articles

3D Simulation Landscape Design Based on Image Sensor

In order to solve the problem of heavy workload of landscape plant modeling, the lack of efficient auxiliary or automatic methods for establishing three-dimensional models for various landscape plants, and the general three-dimensional models of landscape plants which cannot reflect the natural growth of plants and the interaction between the environment, this paper proposes a method of three-dimensional simulation of landscape design based on image sensors. This method includes the construction of three-dimensional image simulation landscape feature analysis function and rationality judgment model, so as to provide theoretical support for landscape design. The experimental results show that the matching number and matching rate of landscape feature points obtained by the traditional deep evaluation method are lower than those obtained by the 3D image simulation method used in this paper, and the steps of image feature points matching are relatively simple. With the gradual expansion of the scope, the accuracy of the three-dimensional image simulation judgment method used in this paper is gradually improved, up to 89%, while the traditional method is always maintained at about 40%. Conclusion. The 3D simulation landscape design method based on image sensor has higher accuracy and wider application prospect.

Novel thoracoscopic segmentectomy combining preoperative three-dimensional image simulation and intravenous administration of indocyanine green

OBJECTIVESThe aim of this study is to assess prospectively the validity and feasibility of segmentectomy using preoperative simulation and intravenous indocyanine green (ICG) with near-infrared (NIR) light thoracoscope to ensure a sufficient surgical margin.METHODSThis study was a prospective, single-centre, phase II, feasibility study. From February to July 2021, 20 patients were enrolled in this study. All patients underwent preoperative three-dimensional computed tomography angiography and bronchography using simulation software. The dominant pulmonary artery of the targeted segment was selected to determine the dissection line and measure the surgical margin to the tumour. Intraoperatively, after the planned dissection of the pulmonary artery, ICG (0.3 mg/kg) was administered intravenously and observed with NIR, and dissection was performed along the line determined by preoperative simulation. Postoperatively, the pathological margin was compared with the simulation margin.RESULTSAll surgeries were performed via an uniport (3.5–4.0-cm skin incision). The regions of segmentectomy were S2, S3, S6, S9 + 10 and S10 of the right side and S1 + 2 + 3, S3, S3 + 4 + 5, S6 and S8 of the left side. The difference between the simulation margin and the pathological margin was not significant (simulation 30.5 ± 10.1 vs pathological 31.0 ± 11.0 mm, P = 0.801). The simulation margin was well correlated with the pathological margin (R2 = 0.677). The proportion of cases successfully achieving the pathological margin of error of plus or minus 10 mm of the simulation margin was 90% (18 of 20 cases).CONCLUSIONSThe combination of preoperative three-dimensional computed tomography simulation and ICG–NIR was effective for securing a sufficient margin in segmentectomy.

Three-dimensional image simulation for lung segmentectomy from unenhanced computed tomography data.

We developed a novel three-dimensional (3D) image simulation system, focused on pulmonary segmentectomy. The novel algorithms run by the software, which are independent of the differences in computed tomography (CT) values of vascular structures, enabled the creation of 3D images from unenhanced CT data with accuracy comparable to that from contrast-enhanced CT data. To evaluate the anatomical accuracy, we compared it between images created from unenhanced and contrast-enhanced CT in seven patients who underwent thoracoscopic segmentectomy. With regard to the automatic recognition of pulmonary vessels, the 3D image from unenhanced CT falsely recognized one or two points in two cases, whereas that from contrast-enhanced CT false recognitions in one case. Both 3D images had similar creation time and capability for identifying the intersegmental plain. The novel 3D image simulation for segmentectomy from unenhanced CT had sufficient anatomical accuracy for practical use but required attention due to inevitable minor false recognition.

Benefit of Three-dimensional Image Simulation in Surgical Resection of Early-stage Lung Cancer

BackgroundThe present study investigated the oncologic outcomes of clinical stage IA2 non-small cell lung cancer (NSCLC) treated using preoperative simulation and surgical resection. MethodsData of patients who underwent surgical resection for clinical stage IA2 NSCLC between January 2002 and June 2018 were reviewed. Preoperative simulations were indicated for patients with centrally located tumors who could undergo anatomic resection. Clinical features, imaging characteristics of the tumors, surgical approaches, and outcomes were analyzed. ResultsOf the 1086 identified patients, 281 patients with clinical stage IA2 NSCLC were enrolled and categorized into 2 groups, with and without preoperative simulation. Tumor location, maximum standard uptake value, histologic grade, disease-free survival, and disease recurrence were significantly different between the 2 groups. For patients with preoperative simulations, 70.7% underwent anatomic resection, whereas for patients without preoperative simulations, 79.7% underwent anatomic resection (P < .001). Patients with preoperative simulations had fewer relapses (2%) than patients without preoperative simulations (11.5%, P < .01). ConclusionsPreoperative simulation confirmed the relationship between the tumor and surrounding blood vessels and bronchus and ensured an oncologic safety margin. Three-dimensional simulations are a useful and feasible tool for planar operative procedures and satisfy the requirements for early-stage NSCLC. These results are promising but preliminary, and more extended follow-up is needed.

Novel three-dimensional image simulation for lung segmentectomy developed with surgeons' perspective.

We developed a novel three-dimensional (3D) image simulation system that is especially focused on pulmonary segmentectomy using new 3D computed tomography (CT) software. Based on contrast-enhanced high-resolution computed tomography (HRCT) images, the new software can quickly construct 3D pulmonary and bronchovascular images and generate a proposal for the appropriate segments to be resected. We performed the 3D image simulation and evaluated its accuracy in 20 patients for whom thoracoscopic segmentectomy was planned. We evaluated the anatomical validity comparing with HRCT findings and anatomical consistency with the operative findings on a three-point scale, respectively. The 3D image was evaluated as "good" for anatomical validity in 19 cases (95%) and for anatomical consistency with operative findings in 18 cases (90%). The novel 3D image simulation appeared to be easy to prepare, was anatomically reliable, and, therefore, was determined to be potentially useful.

Research on Clothing Simulation Design Based on Three-dimensional Image Analysis

Traditional clothing design models based on adaptive meshes cannot reflect. To solve this problem, a clothing simulation design model based on 3D image analysis technology is established. The model uses feature extraction and description of image evaluation parameters, and establishes the mapping relationship between image features and simulation results by using the optimal parameter values, thereby obtaining a three-dimensional image simulation analysis environment. On the basis of this model, by obtaining the response results of clothing collision detection and the results of local adaptive processing of clothing meshes, the cutting form and actual cutting effect of clothing are determined to construct a design model. The simulation results show that compared with traditional clothing design models, clothing simulation design based on 3D image analysis technology has a better effect, with the definition of fabric folds increasing by 40%. More striking contrast between light and dark, the resolution increasing by 30%, and clothing details getting a more real manifestation.

The aberrant systemic-pulmonary artery communication: three-dimensional image simulation

BackgroundCongenital arterial abnormalities are unusual causes of hemoptysis in elder patients. Appropriate image examination and recognition of the variant vessels are crucial in achieving precise diagnosis and successful treatment.Case presentationWe report a case of 70-year-old female presenting with hemoptysis. Computed tomography angiography showed hypervascular lesions in the lingula of the left lung abutting the pericardium. Three-dimensional reconstruction image revealed an aberrant systemic arterial supply communicating with the left pulmonary artery and co-supplying the pulmonary parenchyma of the left upper. Single-port video-assisted thoracoscopic surgery with anomalous vessel ligation and lingual segmentectomy were performed smoothly. The symptom of hemoptysis subsided after operation with 2-year follow up.ConclusionAn anomalous systemic arterial supply to the left upper lobe of the lung with an aberrant systemic system draining into the left pulmonary artery and co-supplying the lung parenchyma is extremely rare. Preoperative simulation with three-dimensional reconstruction image provides a clear spatial anatomy that allows clinicians to identify the orientation of the vessels more precisely when deciding on intervention.

Discussion: A Prospective Evaluation of Three-Dimensional Image Simulation: Patient-Reported Outcomes and Mammometrics in Primary Breast Augmentation.

Discussion: A Prospective Evaluation of Three-Dimensional Image Simulation: Patient-Reported Outcomes and Mammometrics in Primary Breast Augmentation.

A Prospective Evaluation of Three-Dimensional Image Simulation: Patient-Reported Outcomes and Mammometrics in Primary Breast Augmentation.

Outcomes in primary breast augmentation depend on careful preoperative planning and clear communication between patient and surgeon. Three-dimensional imaging with computer simulation is an evolving technology with the potential to enhance the preoperative consultation for patients considering primary breast augmentation. The purpose of this study was to prospectively evaluate the impact of three-dimensional imaging with computer simulation on patient-reported and objective, mammometric outcomes in women undergoing primary breast augmentation. One hundred patients were enrolled in a prospective trial with randomized and nonrandomized arms. The randomized arm was composed of a control group consisting of patients who underwent tissue-based planning without simulation (n = 13) and an intervention group consisting of patients who were simulated (n = 10). The remainder constituted the nonrandomized group who specifically sought preoperative simulation. Patient-reported outcomes (BREAST-Q) and mammometric data were recorded and compared preoperatively and 6 months postoperatively. Over time, significantly more patients refused randomization and chose simulation (p = 0.03). Breast augmentation led to substantial improvements in satisfaction with breasts, sexual well-being, and outcome. Simulation, however, did not significantly impact patient-reported outcomes or mammometric parameters. No strong correlations were identified between patient-reported outcomes and mammometrics. Patients are likely to use novel technology such as three-dimensional photography with computer simulation if they perceive it to enhance their understanding of their final outcome. These patients may seek out practices specifically offering such technology. Incorporation of simulation into the preoperative consultation, however, did not lead to clinically meaningful changes in patient-reported outcomes. Therapeutic, II.

Three-dimensional imaging simulation of active laser detection based on DLOS method

The technology of active laser detection is widely used in many different fields nowadays. With the development of computer technology, programmable software simulation can provide reference for the design of active laser detection. The characteristics of the active laser detecting systems also can be judged more visual. Based on the features of the active laser detection, an improved method of radiative transfer calculation (Double Line Of Sight) was developed, and the simulation models of complete active laser detecting imaging were founded. Compared with the results calculated by the Monte Carlo method, the correctness of the improved method was verified. The results of active laser detecting imaging of complex three-dimensional targets in different atmospheric scenes were compared. The influence of different atmospheric dielectric property were analyzed, which provides effective reference for the design of active laser detection.

Early Orthognathic Surgery With Three-Dimensional Image Simulation During Presurgical Orthodontics in Adults

To correct dentofacial deformities, three-dimensional skeletal analysis and computerized orthognathic surgery simulation are used to facilitate accurate diagnoses and surgical plans. Computed tomography imaging of dental occlusion can inform three-dimensional facial analyses and orthognathic surgical simulations. Furthermore, three-dimensional laser scans of a cast model of the predetermined postoperative dental occlusion can be used to increase the accuracy of the preoperative surgical simulation. In this study, we prepared cast models of planned postoperative dental occlusions from 12 patients diagnosed with skeletal class III malocclusions with mandibular prognathism and facial asymmetry that had planned to undergo bimaxillary orthognathic surgery during preoperative orthodontic treatment. The data from three-dimensional laser scans of the cast models were used in three-dimensional surgical simulations. Early orthognathic surgeries were performed based on three-dimensional image simulations using the cast images in several presurgical orthodontic states in which teeth alignment, leveling, and space closure were incomplete. After postoperative orthodontic treatments, intraoral examinations revealed that no patient had a posterior open bite or space. The two-dimensional and three-dimensional skeletal analyses showed that no mandibular deviations occurred between the immediate and final postoperative states of orthodontic treatment. These results showed that early orthognathic surgery with three-dimensional computerized simulations based on cast models of predetermined postoperative dental occlusions could provide early correction of facial deformities and improved efficacy of preoperative orthodontic treatment. This approach can reduce the decompensation treatment period of the presurgical orthodontics and contribute to efficient postoperative orthodontic treatments.

General three-dimensional image simulation and surface reconstruction in scanning probe microscopy using a dexel representation

The ability to image complex general three-dimensional (3D) structures, including reentrant surfaces and undercut features using scanning probe microscopy, is becoming increasing important in many small length-scale applications. This paper presents a dexel data representation and its algorithm implementation for scanning probe microscope (SPM) image simulation (morphological dilation) and surface reconstruction (erosion) on such general 3D structures. Validation using simulations, some of which are modeled upon actual atomic force microscope data, demonstrates that the dexel representation can efficiently simulate SPM imaging and reconstruct the sample surface from measured images, including those with reentrant surfaces and undercut features.