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Zhang L, Xiang D, Jin C, Shi F, Yu K, Chen X. OIPAV: an Integrated Software System for Ophthalmic Image Processing, Analysis, and Visualization. J Digit Imaging 2018; 32:183-197. [PMID: 30187316 DOI: 10.1007/s10278-017-0047-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022] Open
Abstract
Ophthalmic medical images, such as optical coherence tomography (OCT) images and color photo of fundus, provide valuable information for clinical diagnosis and treatment of ophthalmic diseases. In this paper, we introduce a software system specially oriented to ophthalmic images processing, analysis, and visualization (OIPAV) to assist users. OIPAV is a cross-platform system built on a set of powerful and widely used toolkit libraries. Based on the plugin mechanism, the system has an extensible framework. It provides rich functionalities including data I/O, image processing, interaction, ophthalmic diseases detection, data analysis, and visualization. By using OIPAV, users can easily access to the ophthalmic image data manufactured from different imaging devices, facilitate workflows of processing ophthalmic images, and improve quantitative evaluations. With a satisfying function scalability and expandability, the software is applicable for both ophthalmic researchers and clinicians.
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Affiliation(s)
- Lichun Zhang
- School of Electronics and Information Engineering, Soochow University, No.1 Shizi Street, Suzhou, Jiangsu Province, 215006, China
| | - Dehui Xiang
- School of Electronics and Information Engineering, Soochow University, No.1 Shizi Street, Suzhou, Jiangsu Province, 215006, China
| | - Chao Jin
- School of Electronics and Information Engineering, Soochow University, No.1 Shizi Street, Suzhou, Jiangsu Province, 215006, China
| | - Fei Shi
- School of Electronics and Information Engineering, Soochow University, No.1 Shizi Street, Suzhou, Jiangsu Province, 215006, China
| | - Kai Yu
- School of Electronics and Information Engineering, Soochow University, No.1 Shizi Street, Suzhou, Jiangsu Province, 215006, China
| | - Xinjian Chen
- School of Electronics and Information Engineering, Soochow University, No.1 Shizi Street, Suzhou, Jiangsu Province, 215006, China.
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Kenngott HG, Preukschas AA, Wagner M, Nickel F, Müller M, Bellemann N, Stock C, Fangerau M, Radeleff B, Kauczor HU, Meinzer HP, Maier-Hein L, Müller-Stich BP. Mobile, real-time, and point-of-care augmented reality is robust, accurate, and feasible: a prospective pilot study. Surg Endosc 2018; 32:2958-2967. [PMID: 29602988 DOI: 10.1007/s00464-018-6151-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2017] [Accepted: 03/21/2018] [Indexed: 11/28/2022]
Abstract
BACKGROUND Augmented reality (AR) systems are currently being explored by a broad spectrum of industries, mainly for improving point-of-care access to data and images. Especially in surgery and especially for timely decisions in emergency cases, a fast and comprehensive access to images at the patient bedside is mandatory. Currently, imaging data are accessed at a distance from the patient both in time and space, i.e., at a specific workstation. Mobile technology and 3-dimensional (3D) visualization of radiological imaging data promise to overcome these restrictions by making bedside AR feasible. METHODS In this project, AR was realized in a surgical setting by fusing a 3D-representation of structures of interest with live camera images on a tablet computer using marker-based registration. The intent of this study was to focus on a thorough evaluation of AR. Feasibility, robustness, and accuracy were thus evaluated consecutively in a phantom model and a porcine model. Additionally feasibility was evaluated in one male volunteer. RESULTS In the phantom model (n = 10), AR visualization was feasible in 84% of the visualization space with high accuracy (mean reprojection error ± standard deviation (SD): 2.8 ± 2.7 mm; 95th percentile = 6.7 mm). In a porcine model (n = 5), AR visualization was feasible in 79% with high accuracy (mean reprojection error ± SD: 3.5 ± 3.0 mm; 95th percentile = 9.5 mm). Furthermore, AR was successfully used and proved feasible within a male volunteer. CONCLUSIONS Mobile, real-time, and point-of-care AR for clinical purposes proved feasible, robust, and accurate in the phantom, animal, and single-trial human model shown in this study. Consequently, AR following similar implementation proved robust and accurate enough to be evaluated in clinical trials assessing accuracy, robustness in clinical reality, as well as integration into the clinical workflow. If these further studies prove successful, AR might revolutionize data access at patient bedside.
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Affiliation(s)
- Hannes Götz Kenngott
- Department of General, Visceral and Transplantation Surgery, Heidelberg University, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany
| | - Anas Amin Preukschas
- Department of General, Visceral and Transplantation Surgery, Heidelberg University, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany
| | - Martin Wagner
- Department of General, Visceral and Transplantation Surgery, Heidelberg University, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany
| | - Felix Nickel
- Department of General, Visceral and Transplantation Surgery, Heidelberg University, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany
| | - Michael Müller
- Division of Medical and Biological Informatics, German Cancer Research Center, Heidelberg, Germany
| | - Nadine Bellemann
- Department of Diagnostic and Interventional Radiology, Heidelberg University, Heidelberg, Germany
| | - Christian Stock
- Institute for Medical Biometry and Informatics, Heidelberg University, Heidelberg, Germany
| | - Markus Fangerau
- Department of Diagnostic and Interventional Radiology, Heidelberg University, Heidelberg, Germany
| | - Boris Radeleff
- Department of Diagnostic and Interventional Radiology, Heidelberg University, Heidelberg, Germany
| | - Hans-Ulrich Kauczor
- Department of Diagnostic and Interventional Radiology, Heidelberg University, Heidelberg, Germany
| | - Hans-Peter Meinzer
- Division of Medical and Biological Informatics, German Cancer Research Center, Heidelberg, Germany
| | - Lena Maier-Hein
- Division of Medical and Biological Informatics, German Cancer Research Center, Heidelberg, Germany
| | - Beat Peter Müller-Stich
- Department of General, Visceral and Transplantation Surgery, Heidelberg University, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany.
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Kozak K, Rinn B, Leven O, Emmenlauer M. Strategies and Solutions to Maintain and Retain Data from High Content Imaging, Analysis, and Screening Assays. Methods Mol Biol 2018; 1683:131-148. [PMID: 29082491 DOI: 10.1007/978-1-4939-7357-6_9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Data analysis and management in high content screening (HCS) has progressed significantly in the past 10 years. The analysis of the large volume of data generated in HCS experiments represents a significant challenge and is currently a bottleneck in many screening projects. In most screening laboratories, HCS has become a standard technology applied routinely to various applications from target identification to hit identification to lead optimization. An HCS data management and analysis infrastructure shared by several research groups can allow efficient use of existing IT resources and ensures company-wide standards for data quality and result generation. This chapter outlines typical HCS workflows and presents IT infrastructure requirements for multi-well plate-based HCS.
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Affiliation(s)
- K Kozak
- Carl Gustav Carus University Hospital, Clinic for Neurology, Medical Faculty, Technical University Dresden, Fetscherstraße 74, 01307, Dresden, Germany. .,Fraunhofer IWS, Winterbergstraße 28, Dresden, 01277, Germany. .,Wroclaw University of Economics, Wrocław, Poland.
| | - B Rinn
- Scientific IT Services, ETH Zürich, Zurich, Switzerland
| | - O Leven
- Screener Business Unit, Genedata AG, Basel, Switzerland
| | - M Emmenlauer
- University of Basel and SyBIT, Basel, Switzerland
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Pambrun JF, Noumeir R. Computed Tomography Image Compressibility and Limitations of Compression Ratio-Based Guidelines. J Digit Imaging 2015; 28:636-45. [PMID: 25804842 DOI: 10.1007/s10278-015-9791-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
Abstract
Finding optimal compression levels for diagnostic imaging is not an easy task. Significant compressibility variations exist between modalities, but little is known about compressibility variations within modalities. Moreover, compressibility is affected by acquisition parameters. In this study, we evaluate the compressibility of thousands of computed tomography (CT) slices acquired with different slice thicknesses, exposures, reconstruction filters, slice collimations, and pitches. We demonstrate that exposure, slice thickness, and reconstruction filters have a significant impact on image compressibility due to an increased high frequency content and a lower acquisition signal-to-noise ratio. We also show that compression ratio is not a good fidelity measure. Therefore, guidelines based on compression ratio should ideally be replaced with other compression measures better correlated with image fidelity. Value-of-interest (VOI) transformations also affect the perception of quality. We have studied the effect of value-of-interest transformation and found significant masking of artifacts when window is widened.
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Affiliation(s)
- Jean-François Pambrun
- Department of Electrical Engineering, École de Technologie Supérieure (ETS), 1100 Notre-Dame Ouest, Montréal, Québec, Canada.
| | - Rita Noumeir
- Department of Electrical Engineering, École de Technologie Supérieure (ETS), 1100 Notre-Dame Ouest, Montréal, Québec, Canada
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Sun Z. Endovascular stent graft repair of abdominal aortic aneurysms: Current status and future directions. World J Radiol 2009; 1:63-71. [PMID: 21160722 PMCID: PMC2999302 DOI: 10.4329/wjr.v1.i1.63] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2009] [Revised: 12/22/2009] [Accepted: 12/25/2009] [Indexed: 02/06/2023] Open
Abstract
Endovascular stent graft repair of abdominal aortic aneurysm (AAA) has undergone rapid developments since it was introduced in the early 1990s. Two main types of aortic stent grafts have been developed and are currently being used in clinical practice to deal with patients with complicated or unsuitable aneurysm necks, namely, suprarenal and fenestrated stent grafts. Helical computed tomography angiography has been widely recognized as the method of choice for both pre-operative planning and post-operative follow-up of endovascular repair (EVAR). In addition to 2D axial images, a number of 2D and 3D reconstructions are generated to provide additional information about imaging of the stent grafts in relation to the aortic aneurysm diameter and extent, encroachment of stent wires to the renal artery ostium and position of the fenestrated vessel stents. The purpose of this article is to provide an overview of applications of EVAR of AAA and diagnostic applications of 2D and 3D image visualizations in the assessment of treatment outcomes of EVAR. Interference of stent wires with renal blood flow from the hemodynamic point of view will also be discussed, and future directions explored.
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