23 Result(s)
within
Computer Science
Health Informatics
Pattern Recognition
**ya Sato
Chapter
Conference Paper
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Chapter and Conference Paper
Registration-Based Patient-Specific Musculoskeletal Modeling Using High Fidelity Cadaveric Template Model
We propose a method to construct patient-specific musculoskeletal model using a template obtained from a high fidelity cadaver images. Musculoskeletal simulation has been traditionally performed using a string-ty...
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Chapter and Conference Paper
Patient-Specific Skeletal Muscle Fiber Modeling from Structure Tensor Field of Clinical CT Images
We propose an optimization method for estimating patient-specific muscle fiber arrangement from clinical CT. Our approach first computes the structure tensor field to estimate local orientation, then a geometr...
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Chapter and Conference Paper
Separation of Transmitted Light and Scattering Components in Transmitted Microscopy
In transmitted light microscopy, a specimen tends to be observed as unclear. This is caused by a phenomenon that an image sensor captures the sum of these scattered light rays traveled from different paths due...
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Chapter and Conference Paper
Semi-supervised Learning for Biomedical Image Segmentation via Forest Oriented Super Pixels(Voxels)
In this paper, we focus on semi-supervised learning for biomedical image segmentation, so as to take advantage of huge unlabelled data. We observe that there usually exist some homogeneous connected areas of l...
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Chapter and Conference Paper
Vascular Registration in Photoacoustic Imaging by Low-Rank Alignment via Foreground, Background and Complement Decomposition
Photoacoustic (PA) imaging has been gaining attention as a new imaging modality that can non-invasively visualize blood vessels inside biological tissues. In the process of imaging large body parts through mul...
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Chapter and Conference Paper
Interventional Photoacoustic Imaging of the Human Placenta with Ultrasonic Tracking for Minimally Invasive Fetal Surgeries
Image guidance plays a central role in minimally invasive fetal surgery such as photocoagulation of inter-twin placental anastomosing vessels to treat twin-to-twin transfusion syndrome (TTTS). Fetoscopic guida...
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Chapter and Conference Paper
A Registration Approach to Endoscopic Laser Speckle Contrast Imaging for Intrauterine Visualisation of Placental Vessels
Intrauterine interventions such as twin-to-twin transfusion syndrome procedure require accurate map** of the fetal placental vasculature to ensure complete photocoagulation of vascular anastomoses. However, ...
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Chapter and Conference Paper
A Liver Atlas Using the Special Euclidean Group
An atlas is a shape model derived using statistics of a population. Standard models treat local deformations as pure translations and apply linear statistics. They are often inadequate for highly variable anat...
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Chapter and Conference Paper
Automated CT Segmentation of Diseased Hip Using Hierarchical and Conditional Statistical Shape Models
Segmentation of the femur and pelvis is a prerequisite for patient-specific planning and simulation for hip surgery. Accurate boundary determination of the femoral head and acetabulum is the primary challenge ...
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Chapter and Conference Paper
Abdominal Multi-organ CT Segmentation Using Organ Correlation Graph and Prediction-Based Shape and Location Priors
The paper addresses the automated segmentation of multiple organs in upper abdominal CT data. We propose a framework of multi-organ segmentation which is adaptable to any imaging conditions without using inten...
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Chapter and Conference Paper
Utilizing Disease-Specific Organ Shape Components for Disease Discrimination: Application to Discrimination of Chronic Liver Disease from CT Data
We describe a method to capture disease-specific components in organ shapes. A statistical shape model, constructed by the principal component analysis (PCA) of organ shapes, is used to define the subspace rep...
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Chapter and Conference Paper
Automated Segmentation of the Liver from 3D CT Images Using Probabilistic Atlas and Multi-level Statistical Shape Model
An atlas-based automated liver segmentation method from 3D CT images is described. The method utilizes two types of atlases, that is, the probabilistic atlas (PA) and statistical shape model (SSM). Voxel-based...
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Chapter and Conference Paper
Thoracoscopic Surgical Navigation System for Cancer Localization in Collapsed Lung Based on Estimation of Lung Deformation
We have developed a thoracoscopic surgical navigation system for lung cancer localization. In our system, the thoracic cage and mediastinum are localized using rigid registration between the intraoperatively d...
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Chapter and Conference Paper
Recovery of Liver Motion and Deformation Due to Respiration Using Laparoscopic Freehand 3D Ultrasound System
This paper describes a rapid method for intraoperative recovery of liver motion and deformation due to respiration by using a laparoscopic freehand 3D ultrasound (US) system. Using the proposed method, 3D US i...
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Chapter and Conference Paper
A Novel Laser Guidance System for Alignment of Linear Surgical Tools: Its Principles and Performance Evaluation as a Man—Machine System
A novel laser guidance system that uses dual laser beam shooters for the alignment of linear surgical tools is presented. In the proposed system, the intersection of two laser planes generated by dual laser sh...
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Chapter and Conference Paper
Preoperative Analysis of Optimal Imaging Orientation in Fluoroscopy for Voxel-Based 2-D/3-D Registration
We have developed a system for the 3-D localization of anatomical structures without the need for surgical exposure by using multiple-view fluoroscopy images. In this paper, we describe the system and evaluate...
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Chapter and Conference Paper
3D Ultrasound System Using a Magneto-optic Hybrid Tracker for Augmented Reality Visualization in Laparoscopic Liver Surgery
A three-dimensional ultrasound (3D-US) system suitable for laparoscopic surgery that uses a novel magneto-optic hybrid tracker configuration. Our aim is to integrate 3D-US into a laparoscopic AR system. A 5D m...
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Chapter and Conference Paper
A New Similarity Measure for Nonrigid Volume Registration Using Known Joint Distribution of Target Tissue: Application to Dynamic CT Data of the Liver
A new similarity measure for volume registration is proposed, which uses using the assumption that the joint distribution of a target tissue is known. This similarity measure is designed so that it can deal wi...
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Chapter and Conference Paper
Technical Developments for MR-Guided Microwave Thermocoagulation Therapy of Liver Tumors
We have started clinical studies of MR-guided thermocoagulation therapy of liver tumors. Through this therapy for two years, we have developed new instruments, such as a filter to reduce noise in MRI from the ...
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Chapter and Conference Paper
Limits to the Accuracy of 3D Thickness Measurement in Magnetic Resonance Images
Measuring the thickness of sheet-like (or plate-like) anatomical structures, such as articular cartilages and brain cortex, in 3D magnetic resonance (MR) images is often an important diagnostic procedure. The ...
