Literature DB >> 27098778

A Visualization System for Interactive Exploration of the Cardiac Anatomy.

Lei Zhang1, Kuanquan Wang2, Fei Yang3, Wenjing Lu4, Kechao Wang5, Yue Zhang2, Xiaoqing Liang2, Dongchen Han6, Ying Julie Zhu7.   

Abstract

Because of the complex and fine structure, visualization of the heart still remains a challenging task, which makes it an active research topic. In this paper, we present a visualization system for medical data, which takes advantage of the recent graphics processing unit (GPU) and can provide real-time cardiac visualization. This work focuses on investigating the anatomical structure visualization of the human heart, which is fundamental to the cardiac visualization, medical training and diagnosis assistance. Several state-of-the-art cardiac visualization methods are integrated into the proposed system and a task specified visualization method is proposed. In addition, auxiliary tools are provided to generate user specified visualization results. The contributions of our work lie in two-fold: for doctors and medical staff, the system can provide task specified visualization with interactive visualization tools; for researchers, the proposed platform can serve as a baseline for comparing different rendering methods and can easily incorporate new rendering methods. Experimental results show that the proposed system can provide favorable cardiac visualization results in terms of both effectiveness and efficiency.

Entities:  

Keywords:  Cardiac imaging; GPU; Interactive visualization; Medical visualization system; Volume rendering

Mesh:

Year:  2016        PMID: 27098778     DOI: 10.1007/s10916-016-0480-y

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  15 in total

1.  GPU-based visualization and synchronization of 4-D cardiac MR and ultrasound images.

Authors:  Qi Zhang; Roy Eagleson; Terry M Peters
Journal:  IEEE Trans Inf Technol Biomed       Date:  2012-06-18

2.  An Intelligent Phonocardiography for Automated Screening of Pediatric Heart Diseases.

Authors:  Amir A Sepehri; Armen Kocharian; Azin Janani; Arash Gharehbaghi
Journal:  J Med Syst       Date:  2015-10-30       Impact factor: 4.460

3.  Compression and Encryption of ECG Signal Using Wavelet and Chaotically Huffman Code in Telemedicine Application.

Authors:  Mahsa Raeiatibanadkooki; Saeed Rahati Quchani; MohammadMahdi KhalilZade; Kambiz Bahaadinbeigy
Journal:  J Med Syst       Date:  2016-01-16       Impact factor: 4.460

4.  A Semi-Automatic Coronary Artery Segmentation Framework Using Mechanical Simulation.

Authors:  Ken Cai; Rongqian Yang; Lihua Li; Shanxing Ou; Yuke Chen; Jianhong Dou
Journal:  J Med Syst       Date:  2015-08-27       Impact factor: 4.460

5.  Mobile Monitoring Framework to Design Parameterized and Personalized m-Health Applications According to the Patient's Diseases.

Authors:  Vladimir Villarreal; Ramon Hervas; Jesus Fontecha; Jose Bravo
Journal:  J Med Syst       Date:  2015-08-29       Impact factor: 4.460

Review 6.  Smart health monitoring systems: an overview of design and modeling.

Authors:  Mirza Mansoor Baig; Hamid Gholamhosseini
Journal:  J Med Syst       Date:  2013-01-15       Impact factor: 4.460

7.  Medical Decision Support System for Diagnosis of Heart Arrhythmia using DWT and Random Forests Classifier.

Authors:  Emina Alickovic; Abdulhamit Subasi
Journal:  J Med Syst       Date:  2016-02-27       Impact factor: 4.460

8.  Multi-boundary cardiac data visualization based on multidimensional transfer function with ray distance.

Authors:  Fei Yang; Lei Zhang; Weigang Lu; Wangmeng Zuo; Kuanquan Wang; Henggui Zhang; Yeming Li
Journal:  Biomed Mater Eng       Date:  2014       Impact factor: 1.300

9.  Design of a Computer-Assisted System to Automatically Detect Cell Types Using ANA IIF Images for the Diagnosis of Autoimmune Diseases.

Authors:  Chung-Chuan Cheng; Chun-Feng Lu; Tsu-Yi Hsieh; Yaw-Jen Lin; Jin-Shiuh Taur; Yung-Fu Chen
Journal:  J Med Syst       Date:  2015-08-20       Impact factor: 4.460

10.  Methods for characterizing human coronary artery deformation from cardiac-gated computed tomography data.

Authors:  Gilwoo Choi; Guanglei Xiong; Christopher P Cheng; Charles A Taylor
Journal:  IEEE Trans Biomed Eng       Date:  2014-05-13       Impact factor: 4.538

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  2 in total

1.  Depth Attenuation Degree Based Visualization for Cardiac Ischemic Electrophysiological Feature Exploration.

Authors:  Fei Yang; Lei Zhang; Weigang Lu; Lei Liu; Yue Zhang; Wangmeng Zuo; Kuanquan Wang; Henggui Zhang
Journal:  Biomed Res Int       Date:  2016-11-27       Impact factor: 3.411

2.  A composite visualization method for electrophysiology-morphous merging of human heart.

Authors:  Fei Yang; Lei Zhang; Weigang Lu; Yue Zhang; Wangmeng Zuo; Kuanquan Wang; Henggui Zhang
Journal:  Biomed Eng Online       Date:  2017-06-08       Impact factor: 2.819

  2 in total

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