The Experts below are selected from a list of 84 Experts worldwide ranked by ideXlab platform

Mitsuhiko Moriyama - One of the best experts on this subject based on the ideXlab platform.

  • B-flow imaging of vascular structure for the diagnosis of liver tumor
    Journal of Medical Ultrasonics, 2013
    Co-Authors: Naoki Matsumoto, Masahiro Ogawa, Takao Miura, Katsuhiko Shiozawa, Masahisa Abe, Hiroshi Nakagawara, Mitsuhiko Moriyama
    Abstract:

    Purpose B-flow is a non-Doppler-based technology for visualizing blood flow and has a high spatial resolution. The aim of this study is to evaluate the blood flow information of liver tumors using B-flow in comparison with color Doppler sonography (CDS). Methods Seventy-nine patients with 82 hepatic nodules were studied using B-flow and CDS. The study group included 45 HCC nodules, 23 liver metastasis nodules, four intrahepatic cholangiocarcinomas (ICC), and 13 hemangiomas. The visualized vascularity and morphological findings of the hepatic tumor Vessel were evaluated. Results B-flow showed multiple Vessels in 48 nodules (58.5 %) and a single Vessel in 13 nodules (15.9 %). CDS showed multiple Vessels in 44 nodules (53.7 %) and a single Vessel in 23 nodules (28.0 %). Multivariate analysis showed basket pattern was significant for HCC (OR 49.263; p  = 0.0002), and Penetrating Vessel was significant for liver metastasis or ICC (OR 14.545; p  

  • B-flow imaging of vascular structure for the diagnosis of liver tumor.
    Journal of Medical Ultrasonics, 2013
    Co-Authors: Naoki Matsumoto, Masahiro Ogawa, Takao Miura, Katsuhiko Shiozawa, Masahisa Abe, Hiroshi Nakagawara, Mitsuhiko Moriyama
    Abstract:

    B-flow is a non-Doppler-based technology for visualizing blood flow and has a high spatial resolution. The aim of this study is to evaluate the blood flow information of liver tumors using B-flow in comparison with color Doppler sonography (CDS). Seventy-nine patients with 82 hepatic nodules were studied using B-flow and CDS. The study group included 45 HCC nodules, 23 liver metastasis nodules, four intrahepatic cholangiocarcinomas (ICC), and 13 hemangiomas. The visualized vascularity and morphological findings of the hepatic tumor Vessel were evaluated. B-flow showed multiple Vessels in 48 nodules (58.5 %) and a single Vessel in 13 nodules (15.9 %). CDS showed multiple Vessels in 44 nodules (53.7 %) and a single Vessel in 23 nodules (28.0 %). Multivariate analysis showed basket pattern was significant for HCC (OR 49.263; p = 0.0002), and Penetrating Vessel was significant for liver metastasis or ICC (OR 14.545; p 

Tong Zheng Hong - One of the best experts on this subject based on the ideXlab platform.

Naoki Matsumoto - One of the best experts on this subject based on the ideXlab platform.

  • B-flow imaging of vascular structure for the diagnosis of liver tumor
    Journal of Medical Ultrasonics, 2013
    Co-Authors: Naoki Matsumoto, Masahiro Ogawa, Takao Miura, Katsuhiko Shiozawa, Masahisa Abe, Hiroshi Nakagawara, Mitsuhiko Moriyama
    Abstract:

    Purpose B-flow is a non-Doppler-based technology for visualizing blood flow and has a high spatial resolution. The aim of this study is to evaluate the blood flow information of liver tumors using B-flow in comparison with color Doppler sonography (CDS). Methods Seventy-nine patients with 82 hepatic nodules were studied using B-flow and CDS. The study group included 45 HCC nodules, 23 liver metastasis nodules, four intrahepatic cholangiocarcinomas (ICC), and 13 hemangiomas. The visualized vascularity and morphological findings of the hepatic tumor Vessel were evaluated. Results B-flow showed multiple Vessels in 48 nodules (58.5 %) and a single Vessel in 13 nodules (15.9 %). CDS showed multiple Vessels in 44 nodules (53.7 %) and a single Vessel in 23 nodules (28.0 %). Multivariate analysis showed basket pattern was significant for HCC (OR 49.263; p  = 0.0002), and Penetrating Vessel was significant for liver metastasis or ICC (OR 14.545; p  

  • B-flow imaging of vascular structure for the diagnosis of liver tumor.
    Journal of Medical Ultrasonics, 2013
    Co-Authors: Naoki Matsumoto, Masahiro Ogawa, Takao Miura, Katsuhiko Shiozawa, Masahisa Abe, Hiroshi Nakagawara, Mitsuhiko Moriyama
    Abstract:

    B-flow is a non-Doppler-based technology for visualizing blood flow and has a high spatial resolution. The aim of this study is to evaluate the blood flow information of liver tumors using B-flow in comparison with color Doppler sonography (CDS). Seventy-nine patients with 82 hepatic nodules were studied using B-flow and CDS. The study group included 45 HCC nodules, 23 liver metastasis nodules, four intrahepatic cholangiocarcinomas (ICC), and 13 hemangiomas. The visualized vascularity and morphological findings of the hepatic tumor Vessel were evaluated. B-flow showed multiple Vessels in 48 nodules (58.5 %) and a single Vessel in 13 nodules (15.9 %). CDS showed multiple Vessels in 44 nodules (53.7 %) and a single Vessel in 23 nodules (28.0 %). Multivariate analysis showed basket pattern was significant for HCC (OR 49.263; p = 0.0002), and Penetrating Vessel was significant for liver metastasis or ICC (OR 14.545; p 

Stephen J. Payne - One of the best experts on this subject based on the ideXlab platform.

  • Investigating the effects of a Penetrating Vessel occlusion with a multi-scale microvasculature model of the human cerebral cortex.
    NeuroImage, 2018
    Co-Authors: Wahbi K. El-bouri, Stephen J. Payne
    Abstract:

    The effect of the microvasculature on observed clinical parameters, such as cerebral blood flow, is poorly understood. This is partly due to the gap between the Vessels that can be individually imaged in humans and the microvasculature, meaning that mathematical models are required to understand the role of the microvasculature. As a result, a multi-scale model based on morphological data was developed here that is able to model large regions of the human microvasculature. From this model, a clear layering of flow (and 1-dimensional depth profiles) was observed within a voxel, with the flow in the microvasculature being driven predominantly by the geometry of the Penetrating Vessels. It also appears that the pressure and flow are decoupled, both in healthy vasculatures and in those where occlusions have occurred, again due to the topology of the Penetrating Vessels shunting flow between them. Occlusion of a Penetrating arteriole resulted in a very high degree of overlap of blood pressure drop with experimentally observed cell death. However, drops in blood flow were far more widespread, providing additional support for the theory that pericyte controlled regulation on the capillary scale likely plays a large part in the perfusion of tissue post-occlusion.

  • A statistical model of the Penetrating arterioles and venules in the human cerebral cortex.
    Microcirculation, 2016
    Co-Authors: Wahbi K. El-bouri, Stephen J. Payne
    Abstract:

    Objective Models of the cerebral microvasculature are required at many different scales in order to understand the effects of microvascular topology on CBF. There are, however, no data-driven models at the arteriolar/venular scale. In this paper, we develop a data-driven algorithm based on available data to generate statistically accurate Penetrating arterioles and venules. Methods A novel order-based density-filling algorithm is developed, based on statistical data including bifurcating angles, LDRs, and area-ratios. Three thousand simulations are presented, and the results validated against morphological data. These are combined with a previous capillary network in order to calculate full vascular network parameters. Results Statistically accurate Penetrating trees were successfully generated. All properties provided a good fit to experimental data. The k exponent had a median of 2.5 and an interquartile range of 1.75 – 3.7. CBF showed a standard deviation ranging from ±18% to ±34% of the mean, depending on the Penetrating Vessel diameter. Conclusions Small CBF variations indicate that the topology of the Penetrating Vessels plays only a small part in the large regional variations of CBF seen in the brain. These results open up the possibility of efficient oxygen and blood flow simulations at MRI voxel scales which can be directly validated against MRI data This article is protected by copyright. All rights reserved.

Hiroshi Nakagawara - One of the best experts on this subject based on the ideXlab platform.

  • B-flow imaging of vascular structure for the diagnosis of liver tumor
    Journal of Medical Ultrasonics, 2013
    Co-Authors: Naoki Matsumoto, Masahiro Ogawa, Takao Miura, Katsuhiko Shiozawa, Masahisa Abe, Hiroshi Nakagawara, Mitsuhiko Moriyama
    Abstract:

    Purpose B-flow is a non-Doppler-based technology for visualizing blood flow and has a high spatial resolution. The aim of this study is to evaluate the blood flow information of liver tumors using B-flow in comparison with color Doppler sonography (CDS). Methods Seventy-nine patients with 82 hepatic nodules were studied using B-flow and CDS. The study group included 45 HCC nodules, 23 liver metastasis nodules, four intrahepatic cholangiocarcinomas (ICC), and 13 hemangiomas. The visualized vascularity and morphological findings of the hepatic tumor Vessel were evaluated. Results B-flow showed multiple Vessels in 48 nodules (58.5 %) and a single Vessel in 13 nodules (15.9 %). CDS showed multiple Vessels in 44 nodules (53.7 %) and a single Vessel in 23 nodules (28.0 %). Multivariate analysis showed basket pattern was significant for HCC (OR 49.263; p  = 0.0002), and Penetrating Vessel was significant for liver metastasis or ICC (OR 14.545; p  

  • B-flow imaging of vascular structure for the diagnosis of liver tumor.
    Journal of Medical Ultrasonics, 2013
    Co-Authors: Naoki Matsumoto, Masahiro Ogawa, Takao Miura, Katsuhiko Shiozawa, Masahisa Abe, Hiroshi Nakagawara, Mitsuhiko Moriyama
    Abstract:

    B-flow is a non-Doppler-based technology for visualizing blood flow and has a high spatial resolution. The aim of this study is to evaluate the blood flow information of liver tumors using B-flow in comparison with color Doppler sonography (CDS). Seventy-nine patients with 82 hepatic nodules were studied using B-flow and CDS. The study group included 45 HCC nodules, 23 liver metastasis nodules, four intrahepatic cholangiocarcinomas (ICC), and 13 hemangiomas. The visualized vascularity and morphological findings of the hepatic tumor Vessel were evaluated. B-flow showed multiple Vessels in 48 nodules (58.5 %) and a single Vessel in 13 nodules (15.9 %). CDS showed multiple Vessels in 44 nodules (53.7 %) and a single Vessel in 23 nodules (28.0 %). Multivariate analysis showed basket pattern was significant for HCC (OR 49.263; p = 0.0002), and Penetrating Vessel was significant for liver metastasis or ICC (OR 14.545; p