scholarly journals 3D Breast Volume Estimation

2021 ◽  
pp. 1-6
Author(s):  
Pedro F. Gouveia ◽  
Hélder P. Oliveira ◽  
João P. Monteiro ◽  
João F. Teixeira ◽  
Nuno L. Silva ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Low Cost ◽  
Breast Mri ◽  
Volume Measurement ◽  
Volume Estimation ◽  
Breast Volume ◽  
Water Displacement ◽  
3D Surface ◽  
Mastectomy Specimen ◽  
Surface Scan

<b><i>Introduction:</i></b> Breast volume estimation is considered crucial for breast cancer surgery planning. A single, easy, and reproducible method to estimate breast volume is not available. This study aims to evaluate, in patients proposed for mastectomy, the accuracy of the calculation of breast volume from a low-cost 3D surface scan (Microsoft Kinect) compared to the breast MRI and water displacement technique. <b><i>Material and Methods:</i></b> Patients with a Tis/T1–T3 breast cancer proposed for mastectomy between July 2015 and March 2017 were assessed for inclusion in the study. Breast volume calculations were performed using a 3D surface scan and the breast MRI and water displacement technique. Agreement between volumes obtained with both methods was assessed with the Spearman and Pearson correlation coefficients. <b><i>Results:</i></b> Eighteen patients with invasive breast cancer were included in the study and submitted to mastectomy. The level of agreement of the 3D breast volume compared to surgical specimens and breast MRI volumes was evaluated. For mastectomy specimen volume, an average (standard deviation) of 0.823 (0.027) and 0.875 (0.026) was obtained for the Pearson and Spearman correlations, respectively. With respect to MRI annotation, we obtained 0.828 (0.038) and 0.715 (0.018). <b><i>Discussion:</i></b> Although values obtained by both methodologies still differ, the strong linear correlation coefficient suggests that 3D breast volume measurement using a low-cost surface scan device is feasible and can approximate both the MRI breast volume and mastectomy specimen with sufficient accuracy. <b><i>Conclusion:</i></b> 3D breast volume measurement using a depth-sensor low-cost surface scan device is feasible and can parallel MRI breast and mastectomy specimen volumes with enough accuracy. Differences between methods need further development to reach clinical applicability. A possible approach could be the fusion of breast MRI and the 3D surface scan to harmonize anatomic limits and improve volume delimitation.

scholarly journals Five Methods of Breast Volume Measurement: A Comparative Study of Measurements of Specimen Volume in 30 Mastectomy Cases

2011 ◽  
Vol 5 ◽  
pp. BCBCR.S6128 ◽  
Author(s):  
Ragip Kayar ◽  
Serdar Civelek ◽  
Murat Cobanoglu ◽  
Osman Gungor ◽  
Hidayet Catal ◽  
...  
Keyword(s):  
Measurement Techniques ◽  
Accurate Method ◽  
Volume Measurement ◽  
Patient Comfort ◽  
Breast Volume ◽  
Total Mastectomy ◽  
Water Displacement ◽  
Casting Technique ◽  
Specimen Volume ◽  
Mastectomy Specimen

Background To compare breast volume measurement techniques in terms of accuracy, convenience, and cost. Methods Breast volumes of 30 patients who were scheduled to undergo total mastectomy surgery were measured preoperatively by using five different methods (mammography, anatomic [anthropometric], thermoplastic casting, the Archimedes procedure, and the Grossman-Roudner device). Specimen volume after total mastectomy was measured in each patient with the water displacement method (Archimedes). The results were compared statistically with the values obtained by the five different methods. Results The mean mastectomy specimen volume was 623.5 (range 150–1490) mL. The breast volume values were established to be 615.7 mL (r = 0.997) with the mammographic method, 645.4 mL (r = 0.975) with the anthropometric method, 565.8 mL (r = 0.934) with the Grossman-Roudner device, 583.2 mL (r = 0.989) with the Archimedes procedure, and 544.7 mL (r = 0.94) with the casting technique. Examination of r values revealed that the most accurate method was mammography for all volume ranges, followed by the Archimedes method. Conclusion The present study demonstrated that the most accurate method of breast volume measurement is mammography, followed by the Archimedes method. However, when patient comfort, ease of application, and cost were taken into consideration, the Grossman-Roudner device and anatomic measurement were relatively less expensive, and easier methods with an acceptable degree of accuracy.

Comparison between breast volume measurement using 3D surface imaging and classical techniques

The Breast ◽  
2007 ◽  
Vol 16 (2) ◽  
pp. 137-145 ◽  
Author(s):  
Laszlo Kovacs ◽  
Maximilian Eder ◽  
Regina Hollweck ◽  
Alexander Zimmermann ◽  
Markus Settles ◽  
...  
Keyword(s):  
Volume Measurement ◽  
Surface Imaging ◽  
Breast Volume ◽  
3D Surface ◽  
3D Surface Imaging

scholarly journals Improved accuracy of breast volume calculation from 3D surface imaging data using statistical shape models

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0233586
Author(s):  
Michael W. Göpper ◽  
Jakob Neubauer ◽  
Ziad Kalash ◽  
G. Björn Stark ◽  
Filip Simunovic
Keyword(s):  
Ordinary Least Squares ◽  
Magnetic Resonance Images ◽  
Volume Estimation ◽  
Statistical Shape Model ◽  
Thoracic Wall ◽  
Breast Volume ◽  
Computed Tomography Images ◽  
3D Surface ◽  
Statistical Shape ◽  
3D Volumetry

Background Three-dimensional (3D) scanning is an established method of breast volume estimation. However, this method can never be entirely precise, since the thoracic wall cannot be imaged by the surface scanner. Current methods rely on interpolation of the posterior breast border from the surrounding thoracic wall. Here, we present a novel method to calculate the posterior border and increase the accuracy of the measurement. Methods Using principal component analysis, computed tomography images were used to build a statistical shape model (SSM) of the thoracic wall. The model was fitted to 3D images and the missing thoracic wall curvature interpolated (indirect volumetry). The calculations were evaluated by ordinary least squares regression between the preoperative and postoperative volume differences and the resection weights in breast reduction surgery (N = 36). Also, an SSM of the breast was developed, allowing direct volumetry. Magnetic-resonance images (MRI) and 3D scans were acquired from 5 patients in order to validate the direct 3D volumetry. Results Volumetry based on a SSM exhibited a higher determination coefficient (R2 = 0,737) than the interpolation method (R2 = 0,404). The methods were not equivalent (p = 0.75), suggesting that the methods significantly differ. There was no influence of BMI on the correlation in either method. The MRI volumetry had a strong correlation with the 3D volumetry (R2 = 0,978). Conclusion The SSM-based method of posterior breast border calculation is reliable and superior to the currently used method of interpolation. It should serve as a basis of software applications aiming at calculation of breast volume from 3D surface scanning data.

Validation of Breast Volume Measurement using Non-invasive Surface Scan

2018 ◽  
Author(s):  
Rachel House
Keyword(s):  
Breast Cancer ◽  
Radiation Therapy ◽  
Standard Deviation ◽  
Breast Reconstruction ◽  
Volume Loss ◽  
Breast Volume ◽  
3D Slicer ◽  
Reconstruction Surgery ◽  
Non Invasive ◽  
Surface Scan

ntroduction: Breast Cancer is the most frequently occurring cancer in Canadian women [1]. The standard of care normally involves breast conserving surgery and radiation therapy followed by breast reconstruction surgery. For successful breast reconstruction, the total volume loss must be accounted for. Unfortunately, the volume excised during surgery generally does not reflect total breast volume loss, for example, radiation therapy is known to cause volume loss of the breast [2]. Our goal is to provide the software and workflow necessary to calculate the breast volume using a non-invasive technique. By calculating and comparing the breast volume of the patient before undergoing reconstruction surgery to the baseline volume will help surgeon’s better estimate how much tissue needs to be replaced. Methods: A 3D surface scan of the patient’s chest is obtained. The scan is then imported into 3D Slicer where modules are used to isolate the target breast and calculate the volume . Results: The method provided to calculate breast volume is feasible using 3D Slicer and only requires one surface scan from the patient. The ground truth breast volume of the mannequin was 164mL with a standard deviation of 4.1ml (n=5). The volume of the mannequin’s breast was calculated using the workflow provided, the mean calculated volume was 160.8mL and the standard deviation was 4.7ml (n=4). Conclusion: Using a 3D surface scanner provides a non-invasive and quick way to calculate breast volume. This initial validation suggests this system may be accurate enough to aid the surgeon in the reconstruction process. References [1] Canadian Breast Cancer Society. (2015). Breast Cancer in Canada, 2015. Retrieved from https://www.cbcf.org/ontario/AboutBreastCancerMain/FactsStats/Pages/Breast-Cancer-Canada.asp [2] Haykal, Siba, Colin P. White, and Nicolas A. Guay. "An estimation of volume loss after radiation therapy on free flap breast reconstruction." Plastic and reconstructive surgery 131.6 (2013): 937e-939e.

Breast volume measurement using 3d surface imaging

2006 ◽  
Vol 39 ◽  
pp. S213
Author(s):  
L. Kovacs ◽  
M. Eder ◽  
R. Hollweck ◽  
A. Zimmermann ◽  
M. Settels ◽  
...  
Keyword(s):  
Volume Measurement ◽  
Surface Imaging ◽  
Breast Volume ◽  
3D Surface ◽  
3D Surface Imaging

Breast volume measurement by mesh projection method based on 3D point cloud data

2015 ◽  
Vol 27 (2) ◽  
pp. 221-236 ◽  
Author(s):  
Xiaona Chen ◽  
Jianping Wang
Keyword(s):  
Projection Method ◽  
Point Cloud ◽  
Accurate Method ◽  
Volume Measurement ◽  
3D Point Cloud ◽  
Point Cloud Data ◽  
Breast Volume ◽  
Water Displacement ◽  
Content Type ◽  
Cloud Data

Purpose – The purpose of this paper is to explore a novel breast volume measuring method by mesh projection based on three-dimensional (3D) point cloud data. Design/methodology/approach – Mesh projection method, a rapid and accurate method to calculate the volume of models described by triangular meshes, was transplanted to calculate breast volume based on 3D point cloud data derived from a [TC]2 3D scanner. A simple landmarking procedure was developed to decide breast boundary. Breast volumes derived from mesh projection method were compared to the results of water displacement by statistical analysis to validate its accuracy. Findings – A novel breast volume measurement method is developed based on mesh projection method. By comparison of water displacement, mesh projection method is proved to be accurate to calculate breast volume. Furthermore, a simple and standard breast boundary landmarking procedure is established, which avoids the arbitrariness of the definition of breast boundary and improves the repetition of landmarking. Practical implications – A simple and convenient tool is provided for bra industries to rapidly and accurately measure breast volume. Originality/value – Mesh projection method is primarily applied to determine breast volume based on 3D point cloud data. Meanwhile, a simple and standard breast boundary landmarking procedure is put forward.

scholarly journals Improved accuracy of breast volume calculation from 3D surface imaging data using statistical shape models

2020 ◽  
Author(s):  
M. W. Göpper ◽  
J. Neubauer ◽  
Z. Kalash ◽  
G.B. Stark ◽  
F. Simunovic
Keyword(s):  
Ordinary Least Squares ◽  
Magnetic Resonance Images ◽  
Volume Estimation ◽  
Statistical Shape Model ◽  
Thoracic Wall ◽  
Breast Volume ◽  
Computed Tomography Images ◽  
3D Surface ◽  
Statistical Shape ◽  
3D Volumetry

AbstractBackgroundThree-dimensional (3D) scanning is an established method of breast volume estimation. However, this method can never be entirely precise, since the thoracic wall cannot be imaged by the surface scanner. Current methods rely on interpolation of the posterior breast border from the surrounding thoracic wall. Here, we present a novel method to calculate the posterior border and increase the accuracy of the measurement.MethodsUsing principal component analysis, computed tomography images were used to build a statistical shape model (SSM) of the thoracic wall. The model was fitted to 3D images and the missing thoracic wall curvature interpolated (indirect volumetry). The calculations were evaluated by ordinary least squares regression between the preoperative and postoperative volume differences and the resection weights in breast reduction surgery (N=36). Also, an SSM of the breast was developed, allowing direct volumetry. Magnetic-resonance images (MRI) and 3D scans were acquired from 5 patients in order to validate the direct 3D volumetry.ResultsVolumetry based on a SSM exhibited a higher determination coefficient (R2=0,737) than the interpolation method (R2=0,404). The methods were not equivalent (p=0.75), suggesting that the methods significantly differ. There was no influence of BMI on the correlation in either method. The MRI volumetry had a strong correlation with the 3D volumetry (R2=0,978).ConclusionThe SSM-based method of posterior breast border calculation is reliable and superior to the currently used method of interpolation. It should serve as a basis of software applications aiming at calculation of breast volume from 3D surface scanning data.

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