Stroke Suite: Cad Systems for Acute Ischemic Stroke, Hemorrhagic Stroke, and Stroke in ER

Nowinski, Wiesław L.; Qian, Guoyu; Prakash, Kritika; Volkau, Ihar; Leong, Wing; Huang, Su; Ananthasubramaniam, Anand; Liu, Jimin; Ng, Ting Ting; Gupta, Varsha

doi:10.1007/978-3-540-79490-5_44

Cited by 13 publications

(16 citation statements)

References 16 publications

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“…This algorithm has been implemented as a part of our stroke CAD system for ER [28], which was presented at RSNA 2007, ischemic stroke CAD, and is in the process of incorporation into a hemorrhagic stroke CAD [29] (to be used in a clinical trial, phase 3).…”

Section: Resultsmentioning

confidence: 99%

Robust calculation of the midsagittal plane in CT scans using the Kullback–Leibler’s measure

et al. 2009

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Section: Resultsmentioning

confidence: 99%

Robust calculation of the midsagittal plane in CT scans using the Kullback–Leibler’s measure

et al. 2009

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“…The toolkit contains the basic building blocks (functions) for image file format reading and writing as well as mathematical, graphical and image processing operations. There are several tools useful for stroke image handling, such as the contour editor, 3D surface modeler, 3D volume measure, histogramming, windowing (interactive and presets), region of interest readout, atlas-to-scan registration, and atlas-assisted (localization) analysis along with brain atlases of anatomy, blood supply territories (BST), and cerebral vasculature (employed at present in the ischemic stroke CAD 15 and stroke CAD in the ED 19 ).…”

Section: Architecturementioning

confidence: 99%

“…We are in the process of developing a suite of stroke CAD systems for acute ischemic stroke [14][15][16] (including one handling NCCT only 17 ), hemorrhagic stroke, stroke outcome prediction 18 and stroke in the emergency department (ED) 19 . These CAD systems provide functions for image viewing, image processing, 3D display and manipulation, quantification, atlas to scan mapping, and atlas-assisted analysis.…”

Section: Introductionmentioning

confidence: 99%

A CAD System for Hemorrhagic Stroke

2014

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Computer-aided detection/diagnosis (CAD) is a key component of routine clinical practice, increasingly used for detection, interpretation, quantification and decision support. Despite a critical need, there is no clinically accepted CAD system for stroke yet. Here we introduce a CAD system for hemorrhagic stroke. This CAD system segments, quantifies, and displays hematoma in 2D/3D, and supports evacuation of hemorrhage by thrombolytic treatment monitoring progression and quantifying clot removal. It supports seven-step workflow: select patient, add a new study, process patient's scans, show segmentation results, plot hematoma volumes, show 3D synchronized time series hematomas, and generate report. The system architecture contains four components: library, tools, application with user interface, and hematoma segmentation algorithm. The tools include a contour editor, 3D surface modeler, 3D volume measure, histogramming, hematoma volume plot, and 3D synchronized time-series hematoma display. The CAD system has been designed and implemented in C++. It has also been employed in the CLEAR and MISTIE phase-III, multicenter clinical trials. This stroke CAD system is potentially useful in research and clinical applications, particularly for clinical trials.

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“…Atlas-assisted operations on medical images of human brain are widely applied to image segmentation [1,2], data normalization [3], and localization analysis [4][5][6], especially for the positron emission tomography (PET) images with a poorer spatial resolution and lower signal-noise ratio than other modalities like magnetic resonance imaging or computed tomography. PET is a nuclear medicine imaging technique to produce a three dimension (3D) image of functional processes in the body, by a tracer injected into a patient.…”

Section: Introductionmentioning

confidence: 99%

“…A set of modified Talairach landmarks, conceptually equivalent to the original Talairach landmarks, was introduced [8] to overcome the problems and become more constructive and easier to be identified by computer program. The modified Talairach landmarks are automatically identified on magnetic resonance neuroimages [11,12], and applied to the Talairach transformation [4] and other atlas-assisted automatic interpretations and applications [5,6].…”

Section: Introductionmentioning

confidence: 99%

Extended Talairach Landmarks on Neuroimages for Atlas Registration

Qian

Luo

Jin

et al. 2010

2010 4th International Conference on Bioinformatics and Biomedical Engineering

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The accuracy of scan-to-atlas registration highly depends on the number of landmarks and the precision of landmark identification. An extended landmark, cerebellum inferior (CBI), is introduced in this paper. The extracted brain and midsagittal plane are applied to identify the modified Talairach landmarks and the new introduced landmark CBI. The AC-PC plane is firstly determined and then anatomical information is applied to estimate the other landmarks. The proposed method is fully automatic and has been validated on 49 FDG-PET normal and pathological scans qualitatively, and 15 cases quantitatively. The average processing time is about 3 seconds on a standard personal computer.

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Stroke Suite: Cad Systems for Acute Ischemic Stroke, Hemorrhagic Stroke, and Stroke in ER

Cited by 13 publications

References 16 publications

Robust calculation of the midsagittal plane in CT scans using the Kullback–Leibler’s measure

Robust calculation of the midsagittal plane in CT scans using the Kullback–Leibler’s measure

A CAD System for Hemorrhagic Stroke

Extended Talairach Landmarks on Neuroimages for Atlas Registration

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