The Experts below are selected from a list of 37035 Experts worldwide ranked by ideXlab platform

Alison J Noble - One of the best experts on this subject based on the ideXlab platform.

  • automatic determination of the fetal Cardiac Cycle in ultrasound using spatio temporal neural networks
    International Symposium on Biomedical Imaging, 2020
    Co-Authors: Lok Hin Lee, Alison J Noble
    Abstract:

    The characterization of the fetal Cardiac Cycle is an important determination of fetal health and stress. The anomalous appearance of different anatomical structures during different phases of the heart Cycle is a key indicator of fetal congenital hearth disease. However, locating the fetal heart using ultrasound is challenging, as the heart is small and indistinct. In this paper, we present a viewpoint agnostic solution that automatically characterizes the Cardiac Cycle in clinical ultrasound scans of the fetal heart. When estimating the state of the Cardiac Cycle, our model achieves a mean-squared error of 0.177 between the ground truth Cardiac Cycle and our prediction. We also show that our network is able to localize the heart, despite the lack of labels indicating the location of the heart in the training process.

Toshiki Yoshimine - One of the best experts on this subject based on the ideXlab platform.

  • Cardiac Cycle related volume change in unruptured cerebral aneurysms a detailed volume quantification study using 4 dimensional ct angiography
    Stroke, 2012
    Co-Authors: Junko Kuroda, Manabu Kinoshita, Hisashi Tanaka, Takeo Nishida, Hajime Nakamura, Yoshiyuki Watanabe, Noriyuki Tomiyama, Toshiyuki Fujinaka, Toshiki Yoshimine
    Abstract:

    Background and Purpose—The hemodynamic factors of aneurysms were recently evaluated using computational fluid dynamics in a static vessel model in an effort to understand the mechanisms of initiation and rupture of aneurysms. However, few reports have evaluated the dynamic wall motion of aneurysms due to the Cardiac Cycle. The objective of this study was to quantify Cardiac Cycle-related volume changes in aneurysms using 4-dimensional CT angiography. Methods—Four-dimensional CT angiography was performed in 18 patients. Image data of 1 Cardiac Cycle were divided into 10 phases and the volume of the aneurysm was then quantified in each phase. These data were also compared with intracranial vessels of normal appearance. Results—The observed Cardiac Cycle-related volume changes were in good agreement with the sizes of the aneurysms and normal vessels. The Cardiac Cycle-related volume changes of the intracranial aneurysms and intracranial normal arteries were 5.40%±4.17% and 4.20±2.04%, respectively, but these...

Lok Hin Lee - One of the best experts on this subject based on the ideXlab platform.

  • automatic determination of the fetal Cardiac Cycle in ultrasound using spatio temporal neural networks
    International Symposium on Biomedical Imaging, 2020
    Co-Authors: Lok Hin Lee, Alison J Noble
    Abstract:

    The characterization of the fetal Cardiac Cycle is an important determination of fetal health and stress. The anomalous appearance of different anatomical structures during different phases of the heart Cycle is a key indicator of fetal congenital hearth disease. However, locating the fetal heart using ultrasound is challenging, as the heart is small and indistinct. In this paper, we present a viewpoint agnostic solution that automatically characterizes the Cardiac Cycle in clinical ultrasound scans of the fetal heart. When estimating the state of the Cardiac Cycle, our model achieves a mean-squared error of 0.177 between the ground truth Cardiac Cycle and our prediction. We also show that our network is able to localize the heart, despite the lack of labels indicating the location of the heart in the training process.

  • ISBI - Automatic Determination of the Fetal Cardiac Cycle in Ultrasound Using Spatio-Temporal Neural Networks
    2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020
    Co-Authors: Lok Hin Lee, J. Alison Noble
    Abstract:

    The characterization of the fetal Cardiac Cycle is an important determination of fetal health and stress. The anomalous appearance of different anatomical structures during different phases of the heart Cycle is a key indicator of fetal congenital hearth disease. However, locating the fetal heart using ultrasound is challenging, as the heart is small and indistinct. In this paper, we present a viewpoint agnostic solution that automatically characterizes the Cardiac Cycle in clinical ultrasound scans of the fetal heart. When estimating the state of the Cardiac Cycle, our model achieves a mean-squared error of 0.177 between the ground truth Cardiac Cycle and our prediction. We also show that our network is able to localize the heart, despite the lack of labels indicating the location of the heart in the training process.

Ercan Karaarslan - One of the best experts on this subject based on the ideXlab platform.

  • The influence of Cardiac motion on radiomics features: radiomics features of non-enhanced CMR cine images greatly vary through the Cardiac Cycle
    European Radiology, 2020
    Co-Authors: Deniz Alis, Mert Yergin, Ozan Asmakutlu, Cagdas Topel, Ercan Karaarslan
    Abstract:

    Objectives The Cardiac Cycle might impair the reproducibility of radiomics features of Cardiac magnetic resonance (CMR) cine images, yet this issue has not been addressed in the previous research. We aim to evaluate whether radiomics features of CMR cine images vary during the Cardiac Cycle and investigate the reproducibility of radiomics features of CMR cine images. Methods This retrospective study enrolled 59 healthy adults who underwent CMR examination. Two observers segmented the myocardium on a 4D stack of three consecutive mid-ventricular short-axis cine images covering the Cardiac Cycle. A total of 352 radiomics features were extracted. The coefficient of variation and intraclass correlation coefficient were used to assess the feature variability through the Cycle and inter-observer reproducibility, respectively. Results Approximately 55% of radiomics features showed large variability through the Cardiac Cycle. The original features showed more variability than the Laplacian of Gaussian-filtered features (73.8% vs. 48%). The features of 4D stack cine images had a higher proportion of reproducible features (92.0%, 87.7%, and 76.1%) compared with the end-diastolic (77.8%, 62.2%, and 41.7%) and the end-systolic images (81.5%, 74.1%, and 58.8%) for intraclass correlation cut-off values of ^30.80, > 0.85, and > 0.90, respectively. Conclusions Radiomics features of CMR cine images greatly vary during the Cardiac Cycle. The radiomics features of 4D stack of cine images are more robust compared with end-diastolic and end-systolic cine images in terms of reproducibility. The impact of the Cardiac Cycle on the reproducibility of the features should be considered when employing CMR cine images radiomics. Key Points • There is limited evidence on the impact of Cardiac motion on radiomics features of CMR cine images and the reproducibility of the radiomics features of CMR cine images. • Radiomics features of non-enhanced CMR cine images greatly vary during the Cardiac Cycle, and the number of “reproducible” features shows significant variations according to the Cardiac phases. • The impact of Cardiac Cycle on the reproducibility of the radiomics features should be considered when employing CMR cine images radiomics.

Håkan Arheden - One of the best experts on this subject based on the ideXlab platform.

  • Total heart volume variation throughout the Cardiac Cycle in humans.
    American Journal of Physiology-heart and Circulatory Physiology, 2004
    Co-Authors: Marcus Carlsson, Peter A. Cain, Catarina Holmqvist, Freddy Ståhlberg, Stig Lundback, Håkan Arheden
    Abstract:

    Variations in total heart volume (atria plus ventricles) during a Cardiac Cycle affect efficiency of Cardiac pumping. The goals of this study were to confirm the presence, extent, and contributors ...

  • Total heart volume variation throughout the Cardiac Cycle in humans.
    American journal of physiology. Heart and circulatory physiology, 2004
    Co-Authors: Marcus Carlsson, Catarina Holmqvist, Freddy Ståhlberg, Stig Lundback, Peter Cain, Håkan Arheden
    Abstract:

    Variations in total heart volume (atria plus ventricles) during a Cardiac Cycle affect efficiency of Cardiac pumping. The goals of this study were to confirm the presence, extent, and contributors of total heart volume variation during the Cardiac Cycle in healthy volunteers with the use of MRI. Eight healthy volunteers were examined by MRI at rest. Changes in total Cardiac volume throughout the Cardiac Cycle were calculated using the following methods: 1) planimetry derived from gradient-echo cine images and 2) flow-sensitive sequences to quantify flow in all vessels leading to and from the heart. The maximum total heart volume diminished during systole by 8.2 +/- 0.8% (SEM, range 4.8-10.6%) measured by method 1 and 8.8 +/- 1.0% (SEM, range 5.6-11.8%) by method 2 with good agreement between the methods [difference according to Bland-Altman analysis -0.6% +/- 1.0% (SD), intraclass correlation coefficient = 0.999]. This decrease in volume is predominantly explained by variation at the midCardiac level at the widest diameter of the heart with a left-sided predominance. In the short axis of the heart, the change of slice volume was proportional to the end-diastolic slice volume. The present study has confirmed the presence of total heart volume variation that predominantly occurs in the region of atrioventricular plane movement and on the left side. The total heart volume variation may relate to the efficiency of energy use by the heart to minimize displacement of surrounding tissue while accounting for the energy required to draw blood into the atria during ventricular systole.