Medical Imaging: Image-Guided Procedures最新文献_第8页

Spherical harmonics for modeling shape transformations of breasts following breast surgery 用于乳房手术后乳房形状变换建模的球面谐波

Medical Imaging: Image-Guided Procedures Pub Date : 2020-03-16 DOI: 10.1117/12.2549776

U. Sampathkumar, Z. Nowroozilarki, G. Reece, S. Hanson, F. Merchant

{"title":"Spherical harmonics for modeling shape transformations of breasts following breast surgery","authors":"U. Sampathkumar, Z. Nowroozilarki, G. Reece, S. Hanson, F. Merchant","doi":"10.1117/12.2549776","DOIUrl":"https://doi.org/10.1117/12.2549776","url":null,"abstract":"Breast shape aesthetic is most desired outcome of cosmetic and reconstructive breast surgery. Post-operative (post-op) patient satisfaction largely depends on patient expectations, hence appropriately communicating information about surgical options to patients and moderating patient expectations is critical in surgical planning. Breast modeling and computational simulation can help mitigate this challenge and provide an effective tool for presenting potential surgical outcomes and eliciting patient preferences. Most available computational models lack the ability to provide realistic estimation of breast shape changes. We have previously developed a Fourier spherical harmonics (SPHARM) based computational approach to model breast shape1. SPHARM modeling results in 1320 coefficients that are effective descriptors of the 3D breast shape. In this study, we develop a framework to transform the SPHARM coefficients of the pre-operative (pre-op) breast to generate an estimation of the post-op breast shape for cosmetic (e.g. implant-based augmentation) and reconstructive (e.g. implant, autologous tissue, etc.) surgery procedures. Least squares optimization was used to realize the transformation between the pre- and post-op SPHARM coefficients. We demonstrate the feasibility of our approach using data from patients who have undergone bilateral implant-based breast reconstruction as part of cancer treatment. We trained a random forest regression2 function using SPHARM coefficients and their corresponding shape transformation vectors for 21 preop breasts and validated the regressor using a test dataset of 41 breasts. Our preliminary results demonstrate feasibility of the proposed data-driven approach to model transformation of the pre-op breast to its post-op form for a given surgical procedure.","PeriodicalId":302939,"journal":{"name":"Medical Imaging: Image-Guided Procedures","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130518193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Exploiting confident information for weakly supervised prostate segmentation based on image-level labels 利用可信信息进行基于图像级标签的弱监督前列腺分割

Medical Imaging: Image-Guided Procedures Pub Date : 2020-03-16 DOI: 10.1117/12.2549260

Zhang Chen, Zhiqiang Tian, Xiaojian Li, Yinshu Zhang, J. Dormer

引用次数: 2

Automated classification of brain tissue: comparison between hyperspectral imaging and diffuse reflectance spectroscopy 脑组织的自动分类:高光谱成像与漫反射光谱的比较

Medical Imaging: Image-Guided Procedures Pub Date : 2020-03-16 DOI: 10.1117/12.2548754

Marco Lai, Simon Skyrman, Caifeng Shan, Elvira Paulussen, F. Manni, A. Swamy, D. Babic, E. Edström, Oscar Persson, Gustav Burström, Adrian Elmi Terander, B. Hendriks, P. D. With

{"title":"Automated classification of brain tissue: comparison between hyperspectral imaging and diffuse reflectance spectroscopy","authors":"Marco Lai, Simon Skyrman, Caifeng Shan, Elvira Paulussen, F. Manni, A. Swamy, D. Babic, E. Edström, Oscar Persson, Gustav Burström, Adrian Elmi Terander, B. Hendriks, P. D. With","doi":"10.1117/12.2548754","DOIUrl":"https://doi.org/10.1117/12.2548754","url":null,"abstract":"In neurosurgery, technical solutions for visualizing the border between healthy brain and tumor tissue is of great value, since they enable the surgeon to achieve gross total resection while minimizing the risk of damage to eloquent areas. By using real-time non-ionizing imaging techniques, such as hyperspectral imaging (HSI), the spectral signature of the tissue is analyzed allowing tissue classification, thereby improving tumor boundary discrimination during surgery. More particularly, since infrared penetrates deeper in the tissue than visible light, the use of an imaging sensor sensitive to the near-infrared wavelength range would also allow the visualization of structures slightly beneath the tissue surface. This enables the visualization of tumors and vessel boundaries prior to surgery, thereby preventing the damaging of tissue structures. In this study, we investigate the use of Diffuse Reflectance Spectroscopy (DRS) and HSI for brain tissue classification, by extracting spectral features from the near infra-red range. The applied method for classification is the linear Support Vector Machine (SVM). The study is conducted on ex-vivo porcine brain tissue, which is analyzed and classified as either white or gray matter. The DRS combined with the proposed classification reaches a sensitivity and specificity of 96%, while HSI reaches a sensitivity of 95% and specificity of 93%. This feasibility study shows the potential of DRS and HSI for automated tissue classification, and serves as a fjrst step towards clinical use for tumor detection deeper inside the tissue.","PeriodicalId":302939,"journal":{"name":"Medical Imaging: Image-Guided Procedures","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122896410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A comprehensive workflow and framework for immersive virtual endoscopy of dissected aortae from CTA data 基于CTA数据的沉浸式虚拟主动脉内窥镜的综合工作流程和框架

Medical Imaging: Image-Guided Procedures Pub Date : 2020-03-16 DOI: 10.1117/12.2559239

J. Egger, Simon Gunacker, Antonio Pepe, G. Melito, Christina Gsaxner, Jianning Li, K. Ellermann, Xiaojun Chen

引用次数: 4

Towards portable image guidance and automatic patient registration using an RGB-D camera and video projector 使用RGB-D相机和视频投影仪实现便携式图像引导和患者自动登记

Medical Imaging: Image-Guided Procedures Pub Date : 2020-03-16 DOI: 10.1117/12.2549723

Colton Barr, A. Lasso, Mark Asselin, S. Pieper, F. Robertson, W. Gormley, G. Fichtinger

{"title":"Towards portable image guidance and automatic patient registration using an RGB-D camera and video projector","authors":"Colton Barr, A. Lasso, Mark Asselin, S. Pieper, F. Robertson, W. Gormley, G. Fichtinger","doi":"10.1117/12.2549723","DOIUrl":"https://doi.org/10.1117/12.2549723","url":null,"abstract":"PURPOSE: Surgical navigation has remained a challenge in emergent procedures with mobile targets. Recent advances in RGB-Depth (RGB-D) camera technology have expanded the opportunities for adopting computer vision solutions in computer-assisted surgery. The purpose of this study was to demonstrate the capacity of an RGB-D camera rigidly fixed to a video projector to perform optical marker tracking, depth-based patient registration, and projected target visualization using open-source software. METHODS: The accuracy of marker tracking and system calibration was tested by projecting points onto the corners of a geometrically patterned marker, which was imaged in several locations and orientations. The depth-based registration and practical projection accuracy of the system was evaluated by targeting specific locations on a simulated patient and measuring the distance of the projected points from their targets. RESULTS: The average Euclidean distance between the marker corners and projected points was 5.34 mm (SD 2.93 mm), and the target projection error in the manikin trial following depth-based registration was 4.01 mm (SD 1.51 mm). On average, the distance of the captured point cloud from the manikin model after registration was 1.83 mm (SD 0.15 mm), while the fiducial registration error associated with registering a commercial tracking system to the manikin was 2.47 mm (SD 0.63 mm). CONCLUSION: This study highlights the potential application of RGB-D cameras calibrated to portable video projectors as inexpensive, rapidly deployable navigation systems for use in a variety of procedures, and demonstrates that their accuracy in performing patient registration is suitable for many bedside interventions.","PeriodicalId":302939,"journal":{"name":"Medical Imaging: Image-Guided Procedures","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130182626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of ultrasonography assistance robot for prenatal care 产前超声辅助机器人的研制

Medical Imaging: Image-Guided Procedures Pub Date : 2020-03-16 DOI: 10.1117/12.2550038

R. Tsumura, H. Iwata

{"title":"Development of ultrasonography assistance robot for prenatal care","authors":"R. Tsumura, H. Iwata","doi":"10.1117/12.2550038","DOIUrl":"https://doi.org/10.1117/12.2550038","url":null,"abstract":"Recently, in the United States as well as other countries, a shortage of obstetrician and gynecologist (ob-gyns) has grown seriously. The obstetrics and gynecology have a high burnout rate compared to other medical specialties because of increased workloads and competing for administrative demands. Then, there is a demand for assisting the procedure of prenatal care, especially ultrasonography. Although several robotic-assisted ultrasound imaging platforms have been developed, there were few platforms focusing on prenatal care. In this paper, we proposed an ultrasonography assistance robot for prenatal care to improve the workload of obstetricians and gynecologists. In prenatal care, it is crucially important to satisfy the safety for the pregnant women and fetus compared to other regions of ultrasonography. This paper serves as the proof of concept of the ultrasonography assistance robot for prenatal care by demonstrating the scan of uterus and estimating amniotic fluid volume for assessing fetus health with the fetal US imaging phantom, and clinical feasibility to one pregnant woman. As the key technology to satisfy the safety and acquired image quality, the mechanism with constant springs that the US probe can be shifted flexibly depending on the abdominal height was proposed. The proposed robot system enabled to scan the entire uterus area keeping the contact force under the force applied in clinical procedures (about 15 N) to the fetus phantom. Additionally, as the first application for evaluating fetus health automatically, the system to estimate the amniotic fluid volume (AFV) based on the acquired US images with the robot system was developed and evaluated with the fetus phantom. The result shows estimation errors within 10%. Finally, we demonstrated the robotic US scan to one pregnant woman and successfully observed the body parts of fetus.","PeriodicalId":302939,"journal":{"name":"Medical Imaging: Image-Guided Procedures","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130274708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Preoperative angular insertion depth prediction in case of lateral wall cochlear implant electrode arrays 侧壁人工耳蜗电极阵列术前角度插入深度预测

Medical Imaging: Image-Guided Procedures Pub Date : 2020-03-16 DOI: 10.1117/12.2566504

Mohammad M. R. Khan, R. Labadie, J. Noble

引用次数: 2

Development of a novel tumor phantom model for head and neck squamous cell carcinoma and its applications 新型头颈部鳞状细胞癌肿瘤幻影模型的建立及其应用

Medical Imaging: Image-Guided Procedures Pub Date : 2020-03-16 DOI: 10.1117/12.2550597

M. Sramek, Yuan Shi, E. Quintanilla, Xiaotian Wu, Aravind S. Ponukumati, D. Pastel, R. Halter, J. Paydarfar

{"title":"Development of a novel tumor phantom model for head and neck squamous cell carcinoma and its applications","authors":"M. Sramek, Yuan Shi, E. Quintanilla, Xiaotian Wu, Aravind S. Ponukumati, D. Pastel, R. Halter, J. Paydarfar","doi":"10.1117/12.2550597","DOIUrl":"https://doi.org/10.1117/12.2550597","url":null,"abstract":"Tumor phantoms (TP) have been described for the purposes of training surgical residents and further understanding tissue characteristics in malignancy. To date, there has not been a tumor phantom described for the purposes of research and training in oncologic surgery of the head and neck focusing on the larynx and pharynx. With the goal of providing radiographic, visual, and physical mimicry of head and neck squamous cell carcinoma (HNSCC), a phantom was developed as a proposed training and research tool for trans-oral surgical procedures such as transoral laser microsurgery (TLM) and transoral robotic surgery (TORS). TP’s were constructed with an agar-gelatin chicken stock base to approximate reported physical properties, then glutaraldehyde and Omnipaque-350 were used as a fixative and to enhance CT-visualization respectively. Further, to ensure heterogeneity in radiographic imaging, other materials like olive oil and condensed milk were explored. These ingredients were combined with the use of a novel, 3D printed, syringe adaptor designed to allow for the direct injection of the liquid tumor into model tissue. TP’s fixed quickly in vivo upon implantation and were imaged using CT and segmented. This injection-based model was piloted in bovine tissue and verified in porcine tissue with excess Omnipaque-350 for volumetric reliability then optimized utilizing 6 well plates. Following radiographic optimization, the viscoelastic properties of TP’s were measured through uniaxial compression. We observed a Young’s modulus similar to published literature values and consistent reproducibility. Most notably, our proposed TP can be used by multiple specialties by altering the color and concentration of agar in the base solution to approximate physical properties.","PeriodicalId":302939,"journal":{"name":"Medical Imaging: Image-Guided Procedures","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130779458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Assessment of therapy applicator targeting with a mechanically assisted 3D ultrasound system for minimally invasive focal liver tumor therapy 机械辅助三维超声系统在微创局灶性肝肿瘤治疗中的应用评估

Medical Imaging: Image-Guided Procedures Pub Date : 2020-03-16 DOI: 10.1117/12.2549841

D. Gillies, J. Bax, K. Barker, L. Gardi, D. Tessier, N. Kakani, A. Fenster

{"title":"Assessment of therapy applicator targeting with a mechanically assisted 3D ultrasound system for minimally invasive focal liver tumor therapy","authors":"D. Gillies, J. Bax, K. Barker, L. Gardi, D. Tessier, N. Kakani, A. Fenster","doi":"10.1117/12.2549841","DOIUrl":"https://doi.org/10.1117/12.2549841","url":null,"abstract":"Minimally invasive focal ablation of liver cancer is an alternative technique to conventional methods for early-stage tumors. Sufficient therapy is provided when ablation applicators are placed at their intended target locations, but current practices are occasionally unable to achieve the required degree of accuracy, as observed by local cancer recurrence rates. We have developed a mechanically assisted 3D ultrasound (US) imaging and guidance system capable of providing geometrically variable images to increase intraoperative spatial information and propose a new method for placing therapeutic applicators during focal liver tumor ablations. A three-motor mechanical mover was designed to provide linear, tilt, and combined hybrid geometries for user-defined 3D US fields-of-view. This mover can manipulate any clinically available 2D US transducer mounted in a transducer-specific 3D-printed holders and is held by a counterbalanced mechanical guidance system, which contains electromagnetic brakes and encoders to track the position of the transducer. Fabrication of a transducer-specific needle guide allowed for information from 3D US images and targets to be overlaid with live 2D US to perform an image-guided workflow. End-to-end testing from 3D US acquisition to needle insertion was performed with a mock phantom procedure to assess overall needle placement accuracy and a potential clinical workflow. Mean applicator placement error was 3.8 ± 1.9 mm for all trials and demonstrated that our 3D US image-guided system may be a feasible approach for guiding ablation applicators accurately during focal liver tumor ablation procedures.","PeriodicalId":302939,"journal":{"name":"Medical Imaging: Image-Guided Procedures","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115680768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Estimating tongue deformation during laryngoscopy using hybrid FEM-multibody model and intraoperative tracking: a cadaver pilot study 使用混合fem -多体模型和术中跟踪估计喉镜检查期间舌变形:一项尸体试点研究

Medical Imaging: Image-Guided Procedures Pub Date : 2020-03-16 DOI: 10.1117/12.2550471

Xiaotian Wu, C. A. Sánchez, J. Lloyd, Heather Borgard, S. Fels, J. Paydarfar, R. Halter

引用次数: 1