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Unsupervised Domain Adaptation with Adversarial Learning for Liver Tumors Detection in Multi-phase CT Images

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  1. Chapter and Conference Paper

    Cross-Modality Image Synthesis from Unpaired Data Using CycleGAN

    CT is commonly used in orthopedic procedures. MRI is used along with CT to identify muscle structures and diagnose osteonecrosis due to its superior soft tissue contrast. However, MRI has poor contrast for bon...

    Yuta Hiasa, Yoshito Otake, Masaki Takao in Simulation and Synthesis in Medical Imaging (2018)

  2. 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...

    Yoshito Otake, Masaki Takao, Norio Fukuda in Medical Image Computing and Computer Assis… (2018)

  3. 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...

    Yoshito Otake, Futoshi Yokota, Norio Fukuda in Medical Image Computing and Computer Assis… (2017)

  4. 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...

    Mihoko Shimano, Ryoma Bise, Yinqiang Zheng in Medical Image Computing and Computer-Assis… (2017)

  5. 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...

    Lin Gu, Yinqiang Zheng, Ryoma Bise in Medical Image Computing and Computer Assis… (2017)

  6. 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...

    Ryoma Bise, Yingqiang Zheng, Imari Sato in Medical Image Computing and Computer-Assis… (2016)

  7. 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...

    Wenfeng **a, Efthymios Maneas in Medical Image Computing and Computer-Assis… (2015)

  8. 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, ...

    Gustavo Sato dos Santos, Efthymios Maneas in Medical Image Computing and Computer-Assis… (2015)

  9. 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...

    Mohamed S. Hefny, Toshiyuki Okada in Medical Image Computing and Computer-Assis… (2015)

  10. 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 ...

    Futoshi Yokota, Toshiyuki Okada in Medical Image Computing and Computer-Assis… (2013)

  11. 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...

    Toshiyuki Okada, Marius George Linguraru in Medical Image Computing and Computer-Assis… (2013)

  12. 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...

    Dipti Prasad Mukherjee, Keisuke Higashiura in Medical Image Computing and Computer-Assis… (2013)

  13. 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...

    Toshiyuki Okada, Ryuji Shimada in Medical Image Computing and Computer-Assis… (2007)

  14. 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...

    Masahiko Nakamoto, Naoki Aburaya in Medical Image Computing and Computer-Assis… (2007)

  15. 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...

    Masahiko Nakamoto, Hiroaki Hirayama in Medical Image Computing and Computer-Assis… (2006)

  16. Chapter and Conference Paper

    Accurate Quantification of Small-Diameter Tubular Structures in Isotropic CT Volume Data Based on Multiscale Line Filter Responses

    A method fully utilizing multiscale line filter responses is presented to estimate the point spread function (PSF) of a CT scanner and diameters of small tubular structures based on the PSF. The estimation pro...

    Yoshinobu Sato, Shuji Yamamoto in Medical Image Computing and Computer-Assis… (2004)

  17. Chapter and Conference Paper

    A Rapid Method for Magnetic Tracker Calibration Using a Magneto-Optic Hybrid Tracker

    Electromagnetic trackers are greatly affected by magnetic field distortion resulting from metal objects and electronic equipment in close proximity. In this paper, we propose a rapid method for magnetic tracke...

    Kazuhisa Nakada, Masahiko Nakamoto in Medical Image Computing and Computer-Assis… (2003)

  18. Chapter and Conference Paper

    Camera Model and Calibration Procedure for Oblique-Viewing Endoscope

    Oblique-viewing endoscopes (oblique scopes) are widely used medically. It is essential for certain procedures such as laparoscopy, arthroscopy, and sinus endoscopy. In an oblique scope, its viewing directions ...

    Tetsuzo Yamaguchi, Masahiko Nakamoto in Medical Image Computing and Computer-Assis… (2003)

  19. Chapter and Conference Paper

    Objective Evaluation of Facial Paralysis by Asymmetry in Expressions

    An objective evaluation method to analyze the degree of motion dysfunction in facial expressions due to paralysis is presented. The analysis are based on range data captured for pre-determined facial actions o...

    Pujitha Gunaratne, Yukio Sato in Medical Image Computing and Computer-Assis… (2003)

  20. 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...

    Toshihiko Sasama, Nobuhiko Sugano in Medical Image Computing and Computer-Assis… (2002)

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