THE DICOM 2013 INTERNATIONAL CONFERENCE & SEMINAR March 14-16Bangalore, India On handling low-dose CT images in the absence of reliable DICOM header information.

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Presentation transcript:

THE DICOM 2013 INTERNATIONAL CONFERENCE & SEMINAR March 14-16Bangalore, India On handling low-dose CT images in the absence of reliable DICOM header information Laks Raghupathi Ph.D. Veerendra Shetty Siemens Corporate Development Center, Bangalore, India Healthcare 1 – System House, Algorithms Research Group Matthias Wolf Ph.D. Siemens Medical Solutions USA, Inc., Malvern, PA, USA SYNGO R&D US Innovation Presenter: Laks Raghupathi March 2013 DICOM International Conference & SeminarCopyright © Siemens AG All rights reserved.

Handling Low Dose CT Background Capturing Dosage in DICOM Proposed Approach & Methodology Results & Discussion Author Correspondence March 2013 DICOM International Conference & SeminarL. Raghupathi et al., On handling low-dose CT images in the absence of reliable DICOM header information Copyright © Siemens AG All rights reserved. 2

Background CT is important diagnostic imaging modality with millions of procedures performed each year Modern image acquisition technologies are intended to enable dose reduction in CT imaging while maintaining diagnostic information Evolving technology with newer scanners and reconstruction kernels. Low dose CT (LDCT) tend to have higher noise and less sharpness LDCT may affect performance of advanced post-processing algorithms, such as Computer-aided Detection (CAD) 3 March 2013 DICOM International Conference & SeminarL. Raghupathi et al., On handling low-dose CT images in the absence of reliable DICOM header information Copyright © Siemens AG All rights reserved.

Capturing Dosage in DICOM 4 The first step is to know the dosage for each imaging procedure “Exposure”, “XRayTubeCurrent”, “KV” capture input attributes CTDoseIndex field captures overall dosage Non-Type 1 attributes – not mandatory Proposal: Radiation Dose Structured Report (RDSR) CTDIvol (mGy), DLP (mGy * cm), etc. captures dosage All new devices to encode dose in RDSR [1] Drawbacks: Old scanners may not be updated with RDSR Legacy PACS systems may not read this new SR object __ [1] D. Clunie, Extracting, Managing and Rendering DICOM Radiation Dose Information from Legacy & Contemporary CT Modalities, DICOM Intl. Conf., 2010 March 2013 DICOM International Conference & SeminarL. Raghupathi et al., On handling low-dose CT images in the absence of reliable DICOM header information Copyright © Siemens AG All rights reserved.

Proposed Approach 5 Smoothing reduces noise, but in excess removes information  Algorithms like Lung CAD* expect sharp kernel  Soft kernels may affect performance such as high false positive (FP) rates [2] Need to strike balance between noise and sharpness New Idea: Intelligent pre-processing filter to adjust image quality __ [2] M. Yanagawa et al., Pulmonary nodules: Effect of ASIR technique on performance of a CAD system-comparison of performance between different-dose CT scans Eur. J. Rad., 81(10) 2012 March 2013 DICOM International Conference & SeminarL. Raghupathi et al., On handling low-dose CT images in the absence of reliable DICOM header information Copyright © Siemens AG All rights reserved. __ * Lung CAD research prototype is not commercially available for sale in the USA or elsewhere and is not related to any product.

Framework 6 Scanner 1 Reading Workplace Intelligent Pre- Processing* [3] Post- Processing Applications (e.g., CAD) Scanner 2 PACS __ [3] L. Raghupathi et al., An Intelligent Pre-Processing Framework for Standardizing Medical Images for CAD and Other Post- Processing Applications, Proc. SPIE Med. Imag., 2012 __ *Research prototype is not commercially available for sale in the USA or elsewhere and is not related to any product. March 2013 DICOM International Conference & SeminarL. Raghupathi et al., On handling low-dose CT images in the absence of reliable DICOM header information Copyright © Siemens AG All rights reserved.

Choosing Filters 7 Original Filter 1 Filter 2 Filter 3 Filter 4 It is possible to adjust sharpness using the filters. Key question: Which filter is best for Lung CAD* performance? __ * Lung CAD research prototype is not commercially available for sale in the USA or elsewhere and is not related to any product. March 2013 DICOM International Conference & SeminarL. Raghupathi et al., On handling low-dose CT images in the absence of reliable DICOM header information Copyright © Siemens AG All rights reserved.

Methodology 8 Signal/Contrast to Noise Ratio dependent on location Use image metrics for “adaptive” pre-processing Estimate noise (N) around air region (carina landmark) Estimate sharpness (S) in air-body border Iteratively filter till desired Noise to Sharpness ratio (NSR) reached March 2013 DICOM International Conference & SeminarL. Raghupathi et al., On handling low-dose CT images in the absence of reliable DICOM header information Copyright © Siemens AG All rights reserved.

NSR Outputs 9 Original Filter 1 Filter 2 Filter 3 Filter 4 Filter 5 March 2013 DICOM International Conference & SeminarL. Raghupathi et al., On handling low-dose CT images in the absence of reliable DICOM header information Copyright © Siemens AG All rights reserved.

LDCT Details & Ground Truth 34 Siemens IRIS Kernel avg. 90 mAs, 40 solid pulmonary nodules (SPN) in 4-30mm dia. 88 Siemens IRIS Kernel simulated at 50, 100 mAs, 67 SPN in 4-30mm dia. 10 March 2013 DICOM International Conference & SeminarL. Raghupathi et al., On handling low-dose CT images in the absence of reliable DICOM header information Copyright © Siemens AG All rights reserved.

Results 11 Trained on large-scale CT datasets Validation on low-dose CT images at different levels Improved performance* (mean FP down 66%, median down 50%) __ * Lung CAD research prototype is not commercially available for sale in the USA or elsewhere and is not related to any product. March 2013 DICOM International Conference & SeminarL. Raghupathi et al., On handling low-dose CT images in the absence of reliable DICOM header information Copyright © Siemens AG All rights reserved.

Discussion 12 Proposed approach normalizes images with different dosage Uses measured attributes independent of acquisition parameters Demonstrated potential for improved CAD performance on LDCT Possible to extend to other post-processing applications Potential to enhance their applicability in clinical workflows Practical alternative till DICOM dosage attributes captured March 2013 DICOM International Conference & SeminarL. Raghupathi et al., On handling low-dose CT images in the absence of reliable DICOM header information Copyright © Siemens AG All rights reserved.

Acknowledgements 13 Marc Rose – Healthcare1, Siemens CT DC Dr. Sean Zhou and Ingo Schmuecking – SYNGO R&D US March 2013 DICOM International Conference & SeminarL. Raghupathi et al., On handling low-dose CT images in the absence of reliable DICOM header information Copyright © Siemens AG All rights reserved.

Correspondence Veerendra Shetty Head System Function House – Healthcare1 Siemens Technology & Services 84, Keonics Electronics City, Bangalore, India 14 Thank you for your attention ! March 2013 DICOM International Conference & SeminarL. Raghupathi et al., On handling low-dose CT images in the absence of reliable DICOM header information Copyright © Siemens AG All rights reserved.