Design and validation of Segment - freely available software for cardiovascular image analysis

被引：724

作者：

Heiberg E. ^{[1
]}

Sjögren J. ^{[1
]}

Ugander M. ^{[1
]}

Carlsson M. ^{[1
]}

Engblom H. ^{[1
]}

Arheden H. ^{[1
]}

机构：

[1] Department of Clinical Physiology, Lund University and Lund University Hospital, Lund

来源：

BMC Medical Imaging | / 10卷 / 1期

关键词：

Single Photon Emission Compute Tomography; Myocardial Perfusion Single Photon Emission Compute Tomography; Leave Ventricle Mass; Test Script; Computer Phantom;

D O I：

10.1186/1471-2342-10-1

中图分类号：

学科分类号：

摘要：

Background: Commercially available software for cardiovascular image analysis often has limited functionality and frequently lacks the careful validation that is required for clinical studies. We have already implemented a cardiovascular image analysis software package and released it as freeware for the research community. However, it was distributed as a stand-alone application and other researchers could not extend it by writing their own custom image analysis algorithms. We believe that the work required to make a clinically applicable prototype can be reduced by making the software extensible, so that researchers can develop their own modules or improvements. Such an initiative might then serve as a bridge between image analysis research and cardiovascular research. The aim of this article is therefore to present the design and validation of a cardiovascular image analysis software package (Segment) and to announce its release in a source code format.Results: Segment can be used for image analysis in magnetic resonance imaging (MRI), computed tomography (CT), single photon emission computed tomography (SPECT) and positron emission tomography (PET). Some of its main features include loading of DICOM images from all major scanner vendors, simultaneous display of multiple image stacks and plane intersections, automated segmentation of the left ventricle, quantification of MRI flow, tools for manual and general object segmentation, quantitative regional wall motion analysis, myocardial viability analysis and image fusion tools. Here we present an overview of the validation results and validation procedures for the functionality of the software. We describe a technique to ensure continued accuracy and validity of the software by implementing and using a test script that tests the functionality of the software and validates the output. The software has been made freely available for research purposes in a source code format on the project home page http://segment.heiberg.se.Conclusions: Segment is a well-validated comprehensive software package for cardiovascular image analysis. It is freely available for research purposes provided that relevant original research publications related to the software are cited. © 2010 Heiberg et al; licensee BioMed Central Ltd.

引用

共 34 条

[21]

Petzina R., Ugander M., Gustafsson L., Engblom H., Sjogren J., Hetzer R., Ingemansson R., Arheden H., Malmsjo M., Hemodynamic effects of vacuum-assisted closure therapy in cardiac surgery: assessment using magnetic resonance imaging, The Journal of thoracic and cardiovascular surgery, 133, pp. 1154-1162, (2007)

[22]

Arheden H., Saeed M., Higgins C.B., Gao D.W., Bremerich J., Wyttenbach R., Dae M.W., Wendland M.F., Measurement of the distribution volume of gadopentetate dimeglumine at echo-planar MR imaging to quantify myocardial infarction: comparison with 99mTc-DTPA autoradiography in rats, Radiology, 211, pp. 698-708, (1999)

[23]

Engblom H., Carlsson M.B., Hedstrom E., Heiberg E., Ugander M., Wagner G.S., Arheden H., The endocardial extent of reperfused first-time myocardial infarction is more predictive of pathologic Q waves than is infarct transmurality: a magnetic resonance imaging study, Clin Physiol Funct Imaging, 27, pp. 101-108, (2007)

[24]

Heiberg E., Engblom H., Ugander M., Arheden H., Automated Calculation of Infarct Transmurality, IEEE Computers in Cardiology

[25]

Durham, USA, pp. 165-168, (2007)

[26]

Nilsson B., Heyden A., A fast algorithm for level set-like active contours, Pattern Recognition Letters, 24, pp. 1331-1337, (2003)

[27]

Svensson J., Gardhagen R., Heiberg E., Ebbers T., Loyd D., Lanne T., Karlsson M., Feasibility of Patient Specific Aortic Blood Flow CFD Simulation, MICCAI

[28]

Copenhagen, pp. 77-86, (2006)

[29]

Soneson H., Ubachs J.F., Ugander M., Arheden H., Heiberg E., An Improved Method for Automatic Segmentation of the Left Ventricle in Myocardial Perfusion SPECT, J Nucl Med, 50, pp. 205-213, (2009)

[30]

Ugander M., Soneson H., Heiberg E., Engblom H., Pals J., Erlinge D., Arheden H., A novel method for quantifying myocardial perfusion SPECT defect size by co-registration and fusion with MRI - an experimental ex vivo imaging pig heart study, Scand Cardiovasc J, Malmö, 42, SUPPL, (2008)

← 1 2 3 4 →