scholarly journals Pore texture analysis in automated 3D breast ultrasound images for implanted lightweight hernia mesh identification: a preliminary study

2019 ◽  
Author(s):  
Jiting Yang ◽  
Haiyan Li ◽  
Jun Wu ◽  
Liang Sun ◽  
Dan Xu ◽  
...  
Keyword(s):  
Texture Analysis ◽  
Significant Contribution ◽  
Texture Features ◽  
Breast Ultrasound ◽  
Coronal Plane ◽  
Hernia Mesh ◽  
Pore Texture ◽  
Mesh Shrinkage

Abstract BackgroundPrecise visualization of meshes and their position would greatly aid in mesh shrinkage evaluation, hernia recurrence risk assessment, and the preoperative planning of salvage repair. Lightweight (LW) meshes are able to preserve abdominal wall compliance by generating less post-implant fibrosis and rigidity. However, conventional 3D imaging techniques such as computed tomography (CT) and magnetic resonance imaging (MRI) cannot visualize the LW meshes. Patients sometimes have to undergo a second-look operation for visualizing the mesh implants. The goal of this work is to investigate the potential advantages of Automated 3D breast ultrasound (ABUS) pore texture analysis for implanted LW hernia mesh identification.MethodsIn vitro, the appearances of four different flat meshes in both ABUS and 2D hand-held ultrasound (HHUS) images were evaluated and compared. In vivo, pore texture patterns of 87 hernia regions were analyzed both in ABUS images and their corresponding HHUS images. ResultsIn vitro studies, the imaging results of ABUS for implanted LW meshes are much more visualized and effective in comparison to HHUS. In vivo, the inter-class distance of 40 texture features were calculated. The texture features of 2D sectional plans (axial and sagittal plane) have no significant contribution for implanted LW mesh identification. Significant contribution was observed in coronal plane. However, since the mesh may have spatial variation such as shrinkage after implant surgery, the inter-class distance of 3D coronal plane pore texture features are bigger than 2D coronal plane, so the contribution of 3D coronal plane pore texture features are more valuable than 2D coronal plane for implanted LW mesh identification. The use of 3D pore texture features significantly improved the robustness of the identification method in distinguishing the LW mesh and fascia.ConclusionsAn innovative new automated 3D breast ultrasound (ABUS) provides additional pore texture visualization, by separating the LW mesh from the fascia tissues. Therefore, ABUS having the potential to provide more accurate features to characterize pore texture patterns, and ultimately provide more accurate measures for implanted LW mesh identification.

scholarly journals Pore Texture Analysis in Automated 3D Breast Ultrasound Images for Implanted Lightweight Hernia Mesh Identification: A Preliminary Study

2020 ◽  
Author(s):  
Jiting Yang ◽  
Haiyan Li ◽  
Jun Wu ◽  
Liang Sun ◽  
Dan Xu ◽  
...  
Keyword(s):  
Texture Analysis ◽  
Significant Contribution ◽  
Texture Features ◽  
Breast Ultrasound ◽  
Coronal Plane ◽  
Hernia Mesh ◽  
Pore Texture ◽  
Mesh Shrinkage

Abstract Background: Precise visualization of meshes and their position would greatly aid in mesh shrinkage evaluation, hernia recurrence risk assessment, and the preoperative planning of salvage repair. Lightweight (LW) meshes are able to preserve abdominal wall compliance by generating less post-implant fibrosis and rigidity. However, conventional 3D imaging techniques such as computed tomography (CT) and magnetic resonance imaging (MRI) cannot visualize the LW meshes. Patients sometimes have to undergo a second-look operation for visualizing the mesh implants. The goal of this work is to investigate the potential advantages of Automated 3D breast ultrasound (ABUS) pore texture analysis for implanted LW hernia mesh identification.Methods: In vitro, the appearances of four different flat meshes in both ABUS and 2D hand-held ultrasound (HHUS) images were evaluated and compared. In vivo, pore texture patterns of 87 hernia regions were analyzed both in ABUS images and their corresponding HHUS images.Results: In vitro studies, the imaging results of ABUS for implanted LW meshes are much more visualized and effective in comparison to HHUS. In vivo, the inter-class distance of 40 texture features was calculated. The texture features of 2D sectional plans (axial and sagittal plane) have no significant contribution to implanted LW mesh identification. Significant contribution was observed in coronal plane. However, since the mesh may have spatial variation such as shrinkage after implant surgery, the inter-class distance of 3D coronal plane pore texture features are bigger than 2D coronal plane, so the contribution of 3D coronal plane pore texture features are more valuable than 2D coronal plane for implanted LW mesh identification. The use of 3D pore texture features significantly improved the robustness of the identification method in distinguishing the LW mesh and fascia.Conclusions: An innovative new automated 3D breast ultrasound (ABUS) provides additional pore texture visualization, by separating the LW mesh from the fascia tissues. Therefore, ABUS having the potential to provide more accurate features to characterize pore texture patterns, and ultimately provide more accurate measures for implanted LW mesh identification.

scholarly journals Pore texture analysis in automated 3D breast ultrasound images for implanted lightweight hernia mesh identification: a preliminary study

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Jiting Yang ◽  
Haiyan Li ◽  
Jun Wu ◽  
Liang Sun ◽  
Dan Xu ◽  
...  
Keyword(s):  
Texture Analysis ◽  
Significant Contribution ◽  
Texture Features ◽  
Breast Ultrasound ◽  
Coronal Plane ◽  
Hernia Mesh ◽  
Pore Texture ◽  
Mesh Shrinkage

Abstract Background Precise visualization of meshes and their position would greatly aid in mesh shrinkage evaluation, hernia recurrence risk assessment, and the preoperative planning of salvage repair. Lightweight (LW) meshes are able to preserve abdominal wall compliance by generating less post-implantation fibrosis and rigidity. However, conventional 3D imaging techniques such as computed tomography (CT) and magnetic resonance imaging (MRI) cannot visualize the LW meshes. Patients sometimes have to undergo a second-look operation for visualizing the mesh implants. The goal of this work is to investigate the potential advantages of Automated 3D breast ultrasound (ABUS) pore texture analysis for implanted LW hernia mesh identification. Methods In vitro, the appearances of four different flat meshes in both ABUS and 2D hand-held ultrasound (HHUS) images were evaluated and compared. In vivo, pore texture patterns of 87 hernia regions were analyzed both in ABUS images and their corresponding HHUS images. Results In vitro studies, the imaging results of ABUS for implanted LW meshes are much more visualized and effective in comparison to HHUS. In vivo, the inter-class distance of 40 texture features was calculated. The texture features of 2D sectional plans (axial and sagittal plane) have no significant contribution to implanted LW mesh identification. Significant contribution was observed in coronal plane. However, since the mesh may have spatial variation such as shrinkage after implantation surgery, the inter-class distance of 3D coronal plane pore texture features are bigger than 2D coronal plane, so the contribution of 3D coronal plane pore texture features are more valuable than 2D coronal plane for implanted LW mesh identification. The use of 3D pore texture features significantly improved the robustness of the identification method in distinguishing between LW mesh and fascia. Conclusions An innovative new ABUS provides additional pore texture visualization, by separating the LW mesh from the fascia tissues. Therefore, ABUS has the potential to provides more accurate features to characterize pore texture patterns, and ultimately provide more accurate measures for implanted LW mesh identification.

scholarly journals Pore texture analysis in automated 3D breast ultrasound images for implanted lightweight hernia mesh identification: a preliminary study

2021 ◽  
Author(s):  
Jiting Yang ◽  
Haiyan Li ◽  
Jun Wu ◽  
Liang Sun ◽  
Dan Xu ◽  
...  
Keyword(s):  
Texture Analysis ◽  
Significant Contribution ◽  
Texture Features ◽  
Breast Ultrasound ◽  
Coronal Plane ◽  
Hernia Mesh ◽  
Pore Texture ◽  
Mesh Shrinkage

Abstract Background Precise visualization of meshes and their position would greatly aid in mesh shrinkage evaluation, hernia recurrence risk assessment, and the preoperative planning of salvage repair. Lightweight (LW) meshes are able to preserve abdominal wall compliance by generating less post-implant fibrosis and rigidity. However, conventional 3D imaging techniques such as computed tomography (CT) and magnetic resonance imaging (MRI) cannot visualize the LW meshes. Patients sometimes have to undergo a second-look operation for visualizing the mesh implants. The goal of this work is to investigate the potential advantages of Automated 3D breast ultrasound (ABUS) pore texture analysis for implanted LW hernia mesh identification. Methods In vitro, the appearances of four different flat meshes in both ABUS and 2D hand-held ultrasound (HHUS) images were evaluated and compared. In vivo, pore texture patterns of 87 hernia regions were analyzed both in ABUS images and their corresponding HHUS images. Results In vitro studies, the imaging results of ABUS for implanted LW meshes are much more visualized and effective in comparison to HHUS. In vivo, the inter-class distance of 40 texture features was calculated. The texture features of 2D sectional plans (axial and sagittal plane) have no significant contribution to implanted LW mesh identification. Significant contribution was observed in coronal plane. However, since the mesh may have spatial variation such as shrinkage after implant surgery, the inter-class distance of 3D coronal plane pore texture features are bigger than 2D coronal plane, so the contribution of 3D coronal plane pore texture features are more valuable than 2D coronal plane for implanted LW mesh identification. The use of 3D pore texture features significantly improved the robustness of the identification method in distinguishing the LW mesh and fascia. Conclusions An innovative new automated 3D breast ultrasound (ABUS) provides additional pore texture visualization, by separating the LW mesh from the fascia tissues. Therefore, ABUS having the potential to provide more accurate features to characterize pore texture patterns, and ultimately provide more accurate measures for implanted LW mesh identification.

The Hemoglobin-Deficit Mouse: Analysis of Phenotype and Hematopoiesis in the Transplant Model

Blood ◽  
1997 ◽  
Vol 90 (5) ◽  
pp. 2062-2067 ◽  
Author(s):  
Michael L. Bloom ◽  
Karen L. Simon-Stoos
Keyword(s):  
Autosomal Recessive ◽  
Significant Contribution ◽  
Erythroid Differentiation ◽  
Microcytic Anemia ◽  
Mouse Mutant ◽  
In Vivo Assays ◽  
Transplant Model ◽  
Autosomal Recessive Manner

Abstract The mouse mutant hemoglobin deficit (gene symbol hbd ) is characterized by a severe microcytic anemia that is inherited in an autosomal-recessive manner. To assess the mutation's effect on hematopoiesis, unfractionated bone marrow (BM) from either a mutant C57BL6/J-hbd/hbd, Gpi1b/Gpi1b (phenotype symbol HBD), or normal C57BL6/J -+hbd/+hbd, Gpi1b/Gpi1b mouse was injected intravenously into irradiated congenic C57BL6/J-+hbd/+hbd, Gpi1a/Gpi1a, Igha/Igha, Thy1a/Thy1a mice. The congenic recipients of mutant or normal marrow obtained complete red blood cell (RBC) and leukocyte reconstitution, with the exception of one recipient of HBD marrow. After 24 weeks posttransplantation, the normal recipients of HBD marrow obtained a microcytic anemia similar to the donor. These results suggest that the HBD phenotype is caused by a BM defect. We observed that the erythroid lineage derived from donor HBD marrow repopulated more slowly than the normal marrow at 4 weeks posttransplantation. To determine if this difference was a result of an erythropoietic defect, competitive repopulation was performed using either mutant or normal marrow competed against normal congenic marrow. For the erythroid lineage, no significant contribution from HBD marrow was observed. To assess if the RBC block was based on a deficiency of myeloid progenitors, both in vitro and in vivo assays were performed: absolute numbers of bone progenitors were increased, suggesting that the defect results in a late block to erythroid differentiation.

scholarly journals Diagnostic performance of machine learning applied to texture analysis-derived features for breast lesion characterisation at automated breast ultrasound: a pilot study

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Magda Marcon ◽  
Alexander Ciritsis ◽  
Cristina Rossi ◽  
Anton S. Becker ◽  
Nicole Berger ◽  
...  
Keyword(s):  
Machine Learning ◽  
Pilot Study ◽  
Texture Analysis ◽  
Area Under The Curve ◽  
Texture Features ◽  
Breast Ultrasound ◽  
Support Vector ◽  
Maximum Area ◽  
Svm Algorithm ◽  
Automated Breast Ultrasound

Abstract Background Our aims were to determine if features derived from texture analysis (TA) can distinguish normal, benign, and malignant tissue on automated breast ultrasound (ABUS); to evaluate whether machine learning (ML) applied to TA can categorise ABUS findings; and to compare ML to the analysis of single texture features for lesion classification. Methods This ethically approved retrospective pilot study included 54 women with benign (n = 38) and malignant (n = 32) solid breast lesions who underwent ABUS. After manual region of interest placement along the lesions’ margin as well as the surrounding fat and glandular breast tissue, 47 texture features (TFs) were calculated for each category. Statistical analysis (ANOVA) and a support vector machine (SVM) algorithm were applied to the texture feature to evaluate the accuracy in distinguishing (i) lesions versus normal tissue and (ii) benign versus malignant lesions. Results Skewness and kurtosis were the only TF significantly different among all the four categories (p < 0.000001). In subsets (i) and (ii), a maximum area under the curve of 0.86 (95% confidence interval [CI] 0.82–0.88) for energy and 0.86 (95% CI 0.82–0.89) for entropy were obtained. Using the SVM algorithm, a maximum area under the curve of 0.98 for both subsets was obtained with a maximum accuracy of 94.4% in subset (i) and 90.7% in subset (ii). Conclusions TA in combination with ML might represent a useful diagnostic tool in the evaluation of breast imaging findings in ABUS. Applying ML techniques to TFs might be superior compared to the analysis of single TF.

In vitro and in vivo evaluations of breast ultrasound tomography imaging system in HUST

2018 ◽  
Author(s):  
Junjie Song ◽  
Mingyue Ding ◽  
Liang Zhou ◽  
Shangshang Wang ◽  
Ming Yuchi
Keyword(s):  
Imaging System ◽  
Breast Ultrasound ◽  
Ultrasound Tomography ◽  
Tomography Imaging

scholarly journals Noninvasive Temperature Estimation Based on Texture Features of Ultrasound Images for RFA

2021 ◽  
Author(s):  
Ming Chen ◽  
Xingqun Zhao ◽  
Linfang Yao
Keyword(s):  
Wavelet Transform ◽  
Linear Correlation ◽  
Estimation Method ◽  
Texture Features ◽  
Temperature Monitoring ◽  
Rabbit Kidney ◽  
Ultrasound Images ◽  
Temperature Estimation

Abstract BackgroundHyperthermia is one of the most common therapy for tumor， in which temperature monitoring is essential. Invasive temperature monitoring is mostly used in clinic at present, which leads to limited points under monitoring and extra hurt to patients. Therefore, noninvasive temperature estimation is a key and tough problem in hyperthermia. In this paper, a noninvasive temperature estimation method for hyperthermia based on B-mode ultrasonic image with wavelet transform and texture analysis is proposed.MethodsAnimal tissue both in vitro and in vivo(pig kidneys in vitro and rabbit kidney in vivo) were taken as experimental materials. Ultrasound images and temperature data were collected from radio frequency ablation experiment under approved protocol. Image subtraction and wavelet transform were performed on the ultrasound images to enhance the change during ablation, after which texture features were extracted to analyze the relationship with temperature.ResultsTexture features hybrid entropy and energy extracted from gray-level gradient co-occurrence matrix of ultrasound images processed had higher linear correlation with temperature than traditional gray value method. From in vitro and in vivo experiments, the linear correlation coefficients obtained between hybrid entropy and temperature were 0.979±0.028 and -0.935±0.037, respectively, and those between energy and temperature were 0.932±0.056 and -0.915±0.034, respectively. In addition, the slopes of linear model obtained in vitro were relatively consistent, while those under in vivo condition had certain individual differences.ConclusionsThe results demonstrated that texture features hybrid entropy and energy of ultrasound image processed with the method proposed in this paper can be used for temperature estimation with a smaller error because of high linear correlation with temperature both in vitro and in vivo. Compared with most previous research which only based on biomaterial in vitro, the in vivo experiment conducted in this paper verified the feasibility of the noninvasive temperature estimation method proposed in practice.

Effect of changing venoarterial pH difference on in vivo arterial pH

1991 ◽  
Vol 70 (4) ◽  
pp. 1586-1592 ◽  
Author(s):  
E. Takahashi ◽  
E. A. Phillipson
Keyword(s):  
Computer Simulation ◽  
Significant Contribution ◽  
Regression Coefficient ◽  
Glass Electrode ◽  
Pulmonary Capillaries ◽  
Arterial Ph ◽  
Anesthetized Dogs ◽  
Unique Relationship

Plasma pH has been postulated to change slowly in blood leaving the pulmonary capillaries because of the uncatalyzed dehydration of CO2. If so, there could be a difference between in vivo and in vitro arterial pH, the magnitude of which would be dependent on the venoarterial pH difference (v-aDpH). We tested this hypothesis in anesthetized dogs by changing v-aDpH by airway CO2 loading and by comparing arterial pH measured in vivo by a rapidly responding intravascular pH electrode with that measured in vitro by a conventional glass electrode. Using a multiple regression analysis, we found a small but significant contribution of venous pH to in vivo arterial pH, with a regression coefficient of 0.0718 (P less than 0.0001), suggesting a postcapillary increase of in vivo arterial pH. When carbonic anhydrase was inhibited by the administration of acetazolamide, the effect of venous pH on arterial pH was abolished, and a unique relationship between in vivo and in vitro arterial pH was established (regression coefficient 1.02; P greater than 0.05, comparison with unity). These results could be accounted for in a computer simulation of gas exchange among alveolus, plasma, and erythrocyte. We conclude that there exists a small but measurable postcapillary increase in arterial pH.

Induction and Differentiation of Dental Epithelium in Vivo and in Vitro

1982 ◽  
Vol 40 ◽  
pp. 142-145
Author(s):  
E. J. Kollar
Keyword(s):  
Connective Tissue ◽  
Oral Mucosa ◽  
Basal Lamina ◽  
Functional Derivatives ◽  
Specific Source ◽  
Dental Epithelium ◽  
Connective Tissue Stroma

The differentiation and maintenance of many specialized epithelial structures are dependent on the underlying connective tissue stroma and on an intact basal lamina. These requirements are especially stringent in the development and maintenance of the skin and oral mucosa. The keratinization patterns of thin or thick cornified layers as well as the appearance of specialized functional derivatives such as hair and teeth can be correlated with the specific source of stroma which supports these differentiated expressions.

Ultrastructural Correlations between Clonal Human Tumor Colonies and in Vivo Neoplasms

1982 ◽  
Vol 40 ◽  
pp. 210-211
Author(s):  
M.J. Murphy ◽  
R.R. Price ◽  
J.C. Sloman
Keyword(s):  
Cultured Cells ◽  
Human Tumor ◽  
Cell Type ◽  
Tumor Mass ◽  
Initial Cell ◽  
Cloning Assay ◽  
Human Tumor Cloning ◽  
The Relationship

The in vitro human tumor cloning assay originally described by Salmon and Hamburger has been applied recently to the investigation of differential anti-tumor drug sensitivities over a broad range of human neoplasms. A major problem in the acceptance of this technique has been the question of the relationship between the cultured cells and the original patient tumor, i.e., whether the colonies that develop derive from the neoplasm or from some other cell type within the initial cell population. A study of the ultrastructural morphology of the cultured cells vs. patient tumor has therefore been undertaken to resolve this question. Direct correlation was assured by division of a common tumor mass at surgical resection, one biopsy being fixed for TEM studies, the second being rapidly transported to the laboratory for culture.

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