ADVANCES IN THE VISUALIZATION OF THREE-DIMENSIONAL SEISMIC VOLUME DATA

This paper proposes a fast GrowCut (FGC) algorithm and applies the new algorithm in three-dimensional (3D)kidney segmentation from computed tomography (CT) volume data. Users could mark the object of interest with different labels in CT slices.FGC propagates the labels using monotonically decreasing function and color features to derive an optimal cut for a given data in space. The color features play a great role in comparing with neighborhood cells. The experimental results clearly demonstrate the superiority of FGC in accuracy and speed.

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Three-dimensional Sonography in the Assessment of Normal Fetal Anatomy in Late Pregnancy

Donald School Journal of Ultrasound in Obstetrics & Gynecology ◽

10.5005/jp-journals-10009-1145 ◽

2010 ◽

Vol 4 (3) ◽

pp. 217-231

Author(s):

Badreldeen Ahmed ◽

Ulrich Honemeyer

Keyword(s):

Continuous Wave ◽

Power Doppler ◽

Three Dimensional ◽

Late Pregnancy ◽

Research Field ◽

Surface Rendering ◽

Volume Data ◽

Data Set ◽

3D Volume ◽

Color And Power Doppler

Abstract Three-dimensional, multiplanar sonography, using a volume data set acquired with a 3D probe, has revolutionized ultrasonographic imaging and takes sonographers to a new perception of the fetus in 3 dimensions. Real time scanning, until the late nineties only possible in B-mode, can now be performed in 3D with up to 40 frames/sec. Fetal neurology emerged as a new perinatal research field with the 4D visualization of fetal behavior. Doppler ultrasound, diversified and refined from continuous wave and pulsed Doppler to Color – and Power Doppler, when added to 3D sonography, creates fascinating options of noninvasive fetal vascular mapping (sonoangiography) and vascular assessment of placenta. The diagnostic and demonstrative potential of an acquired 3D volume data set can be maxed with the help of postprocessing and rendering software. After storage, the evaluation of fetal 3D data sets can happen without the patient, with the option of specialist consultation, using telemedicine. In the article, the new 3D “modes” like surface rendering, maximum mode, 3D Color and Power Doppler, STIC, volume rendering, and glass body rendering, are described and illustrated in their display of normal fetal anatomy.

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Pulmonary Lesion Subtypes Recognition of COVID-19 From Radiomics Data With Three Dimensional Texture Characterization in CT Images

10.21203/rs.3.rs-532131/v1 ◽

2021 ◽

Author(s):

Wei Li ◽

Yangyong Cao ◽

Kun Yu ◽

Yibo Cai ◽

Feng Huang ◽

...

Keyword(s):

Data Augmentation ◽

Critical Role ◽

Three Dimensional ◽

Treatment Decision ◽

Ground Glass Opacity ◽

Ct Images ◽

Classification Model ◽

Volume Data ◽

Selection Algorithm ◽

Adaptive Selection

Abstract Background: The COVID-19 disease is putting unprecedented pressure on the global healthcare system. The CT examination as a auxiliary confirmed diagnostic method can help clinicians quickly detect lesions locations of COVID-19 once screening by PCR test. Furthermore, the lesion subtypes classification plays a critical role in the consequent treatment decision. Identifying the subtypes of lesions accurately can help doctors discover changes in lesions in time and better assess the severity of COVID-19. Method: The most four typical lesion subtypes of COVID-19 are discussed in this paper, which are ground-glass opacity (GGO), cord, solid and subsolid. A computer aided diagnosis approach of lesion subtype is proposed in this paper. The radiomics data of lesions are segmented from COVID-19 patients CT images with diagnosis and lesions annotations by radiologists. Then the three dimensional texture descriptors are applied on the volume data of lesions as well as shape and First order features. The massive feature data are selected by hybrid adaptive selection algorithm and a classification model is trained at the same time. The classifier is used to predict lesion subtypes as side decision information for radiologists. Results: There are 3734 lesions extracted from the dataset with 319 patients collection and then 189 radiomics features are obtained finally. The random forest classifier is trained with data augmentation that the number of different subtypes of lesions is imbalanced in initial dataset. The experimental results show that the accuracy of the four subtypes of lesions is (0.9306, 0.9684, 0.9958, and 0.9430), the recall is (0.9552, 0.9158, 0.9580 and 0.8075) and the f-score is (0.93.84, 0.92.37, 0.95.47, and 84.42). Conclusion: The method is evaluated in multiple sufficient experiments. The results show that the 3D radiomics features chosen by hybrid adaptive selection algorithm can better express the advanced information of the lesion data. The classification model obtains a good performance and is compared the models of COVID-19 in the stat of art, which can help clinicians more accurately identify the subtypes of COVID-19 lesions and provide help for further research.

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Interactive Multi-Modal Visualization Environment for Complex System Decision Making

Volume 3: 28th Computers and Information in Engineering Conference, Parts A and B ◽

10.1115/detc2008-49805 ◽

2008 ◽

Author(s):

Jung Leng Foo ◽

Eliot Winer

Keyword(s):

Complex System ◽

Decision Making ◽

Three Dimensional ◽

Image Data ◽

Detailed Examination ◽

Surgical Instruments ◽

Input Device ◽

Volume Data ◽

Evaluation Tool ◽

Standard Format

Decision making in a complex system requires a large amount of data, and real time interaction and visualization tools become effective solutions. Constant improvement in computer graphics technology has encouraged the research of developing better and more efficient ways of interacting and visualizing complex three-dimensional image data. This paper presents a unique software framework for interacting and visualizing complex volume image data in a virtual environment. For efficient user interactions, a wireless gamepad controller is used as the main input device. The buttons and joysticks on the gamepad controller are intuitively mapped to perform different functions depending on the feature mode that the software is currently in. Apart from the general viewer, an extension of the software also reads in standard format patient medical images such as CT/MRI scans. As an effective decision making tool, the software allows the user to apply fast pseudo-coloring and multiple interactive oblique clipping planes for an immersive detailed examination of any 3D model. In the medical imaging extension of this software, it features the ability for the user to select a specific range of tissue densities to render and an endosurgery planning mode that allows a surgeon to place simulated laparoscopic surgical instruments in a virtual model of the patient. The developed software allows for better interaction with complex volume data for use as a decision making and evaluation tool.

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Rotational Three-dimensional OCTA: a Notable New Imaging Tool to Characterize Type 3 Macular Neovascularization

Scientific Reports ◽

10.1038/s41598-019-53307-x ◽

2019 ◽

Vol 9 (1) ◽

Cited By ~ 6

Author(s):

Enrico Borrelli ◽

Riccardo Sacconi ◽

Gerd Klose ◽

Luis de Sisternes ◽

Francesco Bandello ◽

...

Keyword(s):

3D Visualization ◽

Three Dimensional ◽

Cross Sectional Study ◽

Age Related Macular Degeneration ◽

Volume Data ◽

Cross Sectional ◽

Imaging Tool ◽

Age Related ◽

Treatment Naïve ◽

Type 3

AbstractThis study explored whether rotational three-dimensional (3D) visualization of optical coherence tomography angiography (OCTA) volume data may yield valuable information regarding type 3 macular neovascularization (MNV). In this retrospective, cross-sectional study, we collected data from 15 eyes (13 patients) with treatment-naïve type 3 MNV in their post-nascent stage and age-related macular degeneration (AMD). Subjects were imaged with the SS-OCT system (PLEX Elite 9000, Carl Zeiss Meditec Inc., Dublin, CA, USA). The OCTA volume data were processed with a prototype volume projection removal algorithm and then analyzed using volumetric visualization techniques in order to obtain a 3D visualization of the region occupied by type 3 MNV. The two-dimensional and three-dimensional OCTA images were investigated. Mean ± SD age was 75.1 ± 7.4 years. BCVA was 0.42 ± 0.21 LogMAR in the study eyes. Considering the cohort of analyzed eyes, on rotational 3D OCTA images, a total of 35 neovascular lesions (vs 22 lesions detected on 2D OCTA images) rising from the deep vascular complex and variably spanning the outer retinal layers and eventually reaching the RPE/sub-RPE space were detected. Nine of 35 lesions had a saccular shape, while the remaining cases had a filiform shape. On rotational 3D OCTA images, these lesions were inclined on the three planes, instead of perpendicular to the RPE/Bruch’s membrane. In conclusion, this study used an algorithm to obtain rotational three-dimensional visualization of type 3 MNV. This approach seems to increase the detection rate for these lesions and to be useful to offer new insight into type 3 MNV.

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Progressive brain changes in schizophrenia: a 1-year follow-up study of diffusion tensor imaging

Acta Neuropsychiatrica ◽

10.1111/j.1601-5215.2009.00422.x ◽

2009 ◽

Vol 21 (6) ◽

pp. 301-307 ◽

Cited By ~ 5

Author(s):

Miho Ota ◽

Satoko Obu ◽

Noriko Sato ◽

Katsuyoshi Mizukami ◽

Takashi Asada

Keyword(s):

Diffusion Tensor Imaging ◽

Diffusion Tensor ◽

Three Dimensional ◽

Anterior Cingulate ◽

Volume Data ◽

Cross Sectional ◽

Schizophrenic Patients ◽

Brain Changes ◽

Magnetic Resonance Imaging Mri

Objective:Recent cross-sectional studies suggest that brain changes in schizophrenia are progressive during the course of the disorder. However, it remains unknown whether this is a global process or whether some brain areas are affected to a greater degree. The aim of this study was to examine the longitudinal brain changes in patients with chronic older schizophrenia by magnetic resonance imaging (MRI).Methods:Three-dimensional (3D) T1-weighted and diffusion tensor (DT) MRI were performed twice on each of 16 chronic older schizophrenia patients (mean age = 58.1 ± 6.7 years ) with an interval of 1 year between imaging sessions. To clarify the longitudinal morphological and white matter changes, volume data and normalised diffusion tensor imaging (DTI) metrics were compared between the first and follow-up studies using a paired t-test.Results:Focal cortical volume loss was observed in the left prefrontal lobe and anterior cingulate on volumetric study. In addition, DTI metrics changed significantly at the bilateral posterior superior temporal lobes, left insula, genu of the corpus callosum and anterior cingulate.Conclusion:There are ongoing changes in the brains of schizophrenic patients during the course of the illness. Discrepancies between volume data and DTI metrics may indicate that the pattern of progressive brain changes varies according to brain region.

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Visualizing Vertebrate Embryos with Episcopic 3D Imaging Techniques

The Scientific World JOURNAL ◽

10.1100/tsw.2009.154 ◽

2009 ◽

Vol 9 ◽

pp. 1423-1437 ◽

Cited By ~ 26

Author(s):

Stefan H. Geyer ◽

Timothy J. Mohun ◽

Wolfgang J. Weninger

Keyword(s):

3D Imaging ◽

Imaging Techniques ◽

Three Dimensional ◽

Computer Models ◽

Hereditary Diseases ◽

Data Sets ◽

Data Generation ◽

Volume Data ◽

Vertebrate Embryos ◽

Technical Principles

The creation of highly detailed, three-dimensional (3D) computer models is essential in order to understand the evolution and development of vertebrate embryos, and the pathogenesis of hereditary diseases. A still-increasing number of methods allow for generating digital volume data sets as the basis of virtual 3D computer models. This work aims to provide a brief overview about modern volume data–generation techniques, focusing on episcopic 3D imaging methods. The technical principles, advantages, and problems of episcopic 3D imaging are described. The strengths and weaknesses in its ability to visualize embryo anatomy and labeled gene product patterns, specifically, are discussed.

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Modeling and volume rendering approach of underwater three-dimensional acoustic energy field

International Journal of Modeling Simulation and Scientific Computing ◽

10.1142/s1793962316500197 ◽

2016 ◽

Vol 07 (03) ◽

pp. 1650019

Author(s):

Yanyang Zeng ◽

Panpan Jia

Keyword(s):

Real Time ◽

Volume Rendering ◽

Underwater Acoustics ◽

Three Dimensional ◽

Texture Mapping ◽

Propagation Model ◽

Acoustic Energy ◽

Frame Rate ◽

Volume Data ◽

Energy Field

The underwater acoustics is primary and most effective method for underwater object detection and the complex underwater acoustics battlefield environment can be visually described by the three-dimensional (3D) energy field. Through solving the 3D propagation models, the traditional underwater acoustics volume data can be obtained, but it is large amount of calculation. In this paper, a novel modeling approach, which transforms two-dimensional (2D) wave equation into 2D space and optimizes energy loss propagation model, is proposed. In this way, the information for the obtained volume data will not be lost too much. At the same time, it can meet the requirements of data processing for the real-time visualization. In the process of volume rendering, 3D texture mapping methods is used. The experimental results are evaluated on data size and frame rate, showing that our approach outperforms other approaches and the approach can achieve better results in real time and visual effects.

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Three-dimensional measurement of growth of ossification of the posterior longitudinal ligament

Journal of Neurosurgery Spine ◽

10.3171/2011.11.spine11502 ◽

2012 ◽

Vol 16 (3) ◽

pp. 289-295 ◽

Cited By ~ 31

Author(s):

Takahito Fujimori ◽

Motoki Iwasaki ◽

Yukitaka Nagamoto ◽

Takahiro Ishii ◽

Hironobu Sakaura ◽

...

Keyword(s):

Multidetector Ct ◽

Intraclass Correlation ◽

Three Dimensional ◽

Ct Scanning ◽

Posterior Longitudinal Ligament ◽

Progression Rate ◽

Volume Data ◽

Volume Increase ◽

True Value ◽

The Mean

Object Ossification of the posterior longitudinal ligament (OPLL) is a progressive disease that causes cervical myelopathy. Because 2D evaluation of ossification growth with plain lateral radiographs has limitations, the authors developed a unique technique to measure ossification progression and volume increase by using multidetector CT scanning. Methods The authors used serial thin-slice volume data obtained by multidetector CT scanning in 5 patients. The mean patient age was 63 years, and the mean follow-up duration was 3.1 years. First, a 3D model of OPLL was semiautomatically segmented at a specific threshold. Then, a preoperative model of OPLL was superimposed on a postoperative model using voxel-based registration of the vertebral bodies. Progression and volume increase were measured using a digital viewer that was developed by the authors. Progression was visualized using a color-coded contour on the surface of the OPLL model. Results All patients had progression of 0.5 mm or greater. The mean values concerning OPLL growth were as follows: maximum progression length, 4.7 mm; progression rate, 1.5 mm/year; volume increase, 1622 mm3; volume expansion rate, 37%; and volume increase rate, 484 mm3/year. The accuracy of superimposition by voxel-based registration, defined as closeness to the true value, was less than 0.31 mm. For intraobserver reproducibility of the volume measurement, the mean intraclass correlation coefficient, root mean square error, and coefficient of variation were 0.987, 16.0 mm3, and 1.7%, respectively. Conclusions Ossification of the posterior longitudinal ligament progresses even after surgery. Three-dimensional evaluation with the aid of CT scans is a useful and reliable method for assessing that growth.

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