Combining high-performance computing and networking for advanced 3-D cardiac imaging

The paper deals with the integration of a powerful parallel computer based image analysis and visualization system for cardiology into a hospital information system. Further services are remote access to the hospital Web server through an Internet network. The visualization system includes dynamic three dimensional representation of two types of medical images (e.g., magnetic resonance and nuclear medicine) as well as two images in the same modality (e.g., basal versus stress images). A series of software tools for quantitative image analysis developed for supporting diagnosis of cardiac disease are also available, including automated image segmentation and quantitative time evaluation of left ventricular volumes and related indices during cardiac cycle, myocardial mass, and myocardial perfusion indices. The system has been tested both at a specialized cardiologic center and for remote consultation in diagnosis of cardiac disease by using anatomical and perfusion magnetic resonance images.

[1]  M. Levoy,et al.  Fast volume rendering using a shear-warp factorization of the viewing transformation , 1994, SIGGRAPH.

[2]  Luigi Landini,et al.  A Parallel System for Dynamic 3D Medical Imaging , 1997, HPCN Europe.

[3]  Benoit M. Dawant,et al.  Correction of intensity variations in MR images for computer-aided tissue classification , 1993, IEEE Trans. Medical Imaging.

[4]  Jerry L. Prince,et al.  Snakes, shapes, and gradient vector flow , 1998, IEEE Trans. Image Process..

[5]  Jack J. Dongarra,et al.  Recent Enhancements To Pvm , 1995, Int. J. High Perform. Comput. Appl..

[6]  William E. Higgins,et al.  Distributed system for processing multidimensional radiological images , 1996, Medical Imaging.

[7]  Sotiris A. Pavlopoulos,et al.  Designing and implementing the transition to a fully digital hospital , 1999, IEEE Transactions on Information Technology in Biomedicine.

[8]  Michele Emdin,et al.  Development of an electronic medical record for patient care in cardiology , 1997, Computers in Cardiology 1997.

[9]  David H. Laidlaw,et al.  The application visualization system: a computational environment for scientific visualization , 1989, IEEE Computer Graphics and Applications.

[10]  J C Mazziotta,et al.  Automated image registration: II. Intersubject validation of linear and nonlinear models. , 1998, Journal of computer assisted tomography.

[11]  Y. Kim,et al.  Requirements for picture archiving and communications , 1993, IEEE Engineering in Medicine and Biology Magazine.

[12]  R. Kim,et al.  Myocardial Gd-DTPA kinetics determine MRI contrast enhancement and reflect the extent and severity of myocardial injury after acute reperfused infarction. , 1996, Circulation.

[13]  R C Boston,et al.  Integrated MRI assessment of regional function and perfusion in canine myocardial infarction , 1998, Magnetic resonance in medicine.

[14]  William E. Johnston,et al.  Distributed health care imaging information systems , 1997, Medical Imaging.

[15]  M. Micalizzi,et al.  Medical record system for cardiology and cardiac surgery , 1999, Computers in Cardiology 1999. Vol.26 (Cat. No.99CH37004).

[16]  Andy Marsh EUROMED - Combining WWW and HPCN to Support Advanced Medical Imaging , 1997, HPCN Europe.

[17]  T. Todd Elvins,et al.  Render brokering for volume visualization , 1997, IEEE Concurrency.

[18]  Geoffrey C. Fox,et al.  Java enabling collaborative education, health care, and computing , 1997, Concurr. Pract. Exp..

[19]  E L Ritman,et al.  Extraction of left-ventricular chamber from 3-D CT images of the heart. , 1990, IEEE transactions on medical imaging.

[20]  M. Stella Atkins,et al.  Fully automatic segmentation of the brain in MRI , 1998, IEEE Transactions on Medical Imaging.

[21]  Luigi Landini,et al.  Real-time multimodal medical image processing: a dynamic volume-rendering application , 1997, IEEE Transactions on Information Technology in Biomedicine.

[22]  Vaidy S. Sunderam,et al.  PVM: A Framework for Parallel Distributed Computing , 1990, Concurr. Pract. Exp..

[23]  Luigi Landini,et al.  A Parallel Volume Rendering Algorithm: Performance Analysis and Implication in Medicine , 1997, PDPTA.

[24]  Laurent D. Cohen,et al.  Tracking Medical 3D Data with a Deformable Parametric Model , 1996, ECCV.

[25]  Pier Stanislao Paolucci,et al.  The APE-100 Computer: (I) the Architecture , 1993, Int. J. High Speed Comput..

[26]  Nicholas Ayache,et al.  Medical image tracking , 1993 .

[27]  Luigi Landini,et al.  Using PVM on computer network to perform fast pre-processing of large medical data set , 1999, PARCO.

[28]  M. Steigner,et al.  Cardiac Imaging , 2019, Choosing the Correct Radiologic Test.

[29]  N. Wilke,et al.  Assessing myocardial perfusion in coronary artery disease with magnetic resonance first-pass imaging. , 1998, Cardiology clinics.

[30]  S. Pizer,et al.  3D Imaging in Medicine , 1990, NATO ASI Series.

[31]  Luigi Landini,et al.  Fast and Quantitative Analysis of 4D Cardiac Images Using a SMP Architecture , 1998, PARA.

[32]  Pier Stanislao Paolucci,et al.  The Teraflop Parallel Computer APEmille , 1997, HPCN Europe.