Mr. Manu N. Lakshmanan Profile

Manu N. Lakshmanan

Graduate Research Assistant at Carl E Ravin Advanced Imaging Labs

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Author

Publications (9)

SPIE Journal Paper | 7 March 2017

Accuracy assessment and characterization of x-ray coded aperture coherent scatter spectral imaging for breast cancer classification

Manu Lakshmanan, Joel Greenberg, Ehsan Samei, Anuj Kapadia

JMI, Vol. 4, Issue 01, 013505, (March 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.1.013505

KEYWORDS: Imaging systems, X-rays, Tissues, Breast, X-ray imaging, Coded apertures, Sensors, Breast cancer, Mammography, Monte Carlo methods

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Proceedings Article | 22 March 2016 Paper

Validation of coded aperture coherent scatter spectral imaging for normal and neoplastic breast tissues via surgical pathology

R. Morris, K. Albanese, M. Lakshmanan, S. McCall, J. Greenberg, A. Kapadia

Proceedings Volume 9783, 97835T (2016) https://doi.org/10.1117/12.2216974

KEYWORDS: Breast, Coded apertures, Imaging spectroscopy, Tissues, Pathology, X-ray diffraction, Reconstruction algorithms, Raster graphics, Imaging devices, Sensors, Photons, Tumors, X-rays, Data acquisition, Diffraction

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Proceedings Article | 22 March 2016 Paper

Coded aperture coherent scatter imaging for breast cancer detection: a Monte Carlo evaluation

Manu Lakshmanan, Robert Morris, Joel Greenberg, Ehsan Samei, Anuj Kapadia

Proceedings Volume 9783, 978321 (2016) https://doi.org/10.1117/12.2216482

KEYWORDS: Monte Carlo methods, Breast, Coded apertures, Coherence imaging, Tissues, Mammography, Coded aperture imaging, X-ray imaging, X-rays, Breast cancer, Imaging systems, Image segmentation

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It is known that conventional x-ray imaging provides a maximum contrast between cancerous and healthy fibroglandular breast tissues of 3% based on their linear x-ray attenuation coefficients at 17.5 keV, whereas coherent scatter signal provides a maximum contrast of 19% based on their differential coherent scatter cross sections. Therefore in order to exploit this potential contrast, we seek to evaluate the performance of a coded- aperture coherent scatter imaging system for breast cancer detection and investigate its accuracy using Monte Carlo simulations. In the simulations we modeled our experimental system, which consists of a raster-scanned pencil beam of x-rays, a bismuth-tin coded aperture mask comprised of a repeating slit pattern with 2-mm periodicity, and a linear-array of 128 detector pixels with 6.5-keV energy resolution. The breast tissue that was scanned comprised a 3-cm sample taken from a patient-based XCAT breast phantom containing a tomosynthesis- based realistic simulated lesion. The differential coherent scatter cross section was reconstructed at each pixel in the image using an iterative reconstruction algorithm. Each pixel in the reconstructed image was then classified as being either air or the type of breast tissue with which its normalized reconstructed differential coherent scatter cross section had the highest correlation coefficient. Comparison of the final tissue classification results with the ground truth image showed that the coded aperture imaging technique has a cancerous pixel detection sensitivity (correct identification of cancerous pixels), specificity (correctly ruling out healthy pixels as not being cancer) and accuracy of 92.4%, 91.9% and 92.0%, respectively. Our Monte Carlo evaluation of our experimental coded aperture coherent scatter imaging system shows that it is able to exploit the greater contrast available from coherently scattered x-rays to increase the accuracy of detecting cancerous regions within the breast.

SPIE Journal Paper | 16 February 2016

Design and implementation of coded aperture coherent scatter spectral imaging of cancerous and healthy breast tissue samples

Manu Lakshmanan, Joel Greenberg, Ehsan Samei, Anuj Kapadia

JMI, Vol. 3, Issue 01, 013505, (February 2016) https://doi.org/10.1117/12.10.1117/1.JMI.3.1.013505

KEYWORDS: Tissues, Breast, Coded apertures, Monte Carlo methods, X-rays, Imaging systems, Coherence imaging, Image segmentation, Sensors, Coded aperture imaging

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Proceedings Article | 18 March 2015 Paper

Experimental implementation of coded aperture coherent scatter spectral imaging of cancerous and healthy breast tissue samples

Manu Lakshmanan, Joel Greenberg, Ehsan Samei, Anuj Kapadia

Proceedings Volume 9412, 94121F (2015) https://doi.org/10.1117/12.2082318

KEYWORDS: Tissues, Coded apertures, Breast, Sensors, Coded aperture imaging, X-rays, Tissue optics, 3D image processing, 3D image reconstruction, Image segmentation

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Proceedings Article | 18 March 2015 Paper

Optimization of a coded aperture coherent scatter spectral imaging system for medical imaging

Joel Greenberg, Manu Lakshmanan, David Brady, Anuj Kapadia

Proceedings Volume 9412, 94125E (2015) https://doi.org/10.1117/12.2082110

KEYWORDS: Imaging systems, Coded apertures, X-rays, Spatial resolution, Tissues, X-ray imaging, Tumors, Medical imaging, Coded aperture imaging, Coherence imaging

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Proceedings Article | 19 March 2014 Paper

X-ray coherent scatter imaging for surgical margin detection: a Monte Carlo study

Manu Lakshmanan, Anuj Kapadia, Brian Harrawood, David Brady, Ehsan Samei

Proceedings Volume 9033, 903361 (2014) https://doi.org/10.1117/12.2043856

KEYWORDS: Tissues, Breast, Monte Carlo methods, Tumors, X-rays, Coherence imaging, Surgery, X-ray computed tomography, Tumor growth modeling, X-ray imaging

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Proceedings Article | 26 September 2013 Paper

Coding and sampling for compressive x-ray diffraction tomography

Joel Greenberg, Kalyani Krishnamurthy, Manu Lakshmanan, Kenneth MacCabe, Scott Wolter, Anuj Kapadia, David Brady

Proceedings Volume 8858, 885813 (2013) https://doi.org/10.1117/12.2027128

KEYWORDS: Sensors, X-rays, Signal to noise ratio, Coded apertures, Photons, X-ray imaging, Monte Carlo methods, X-ray detectors, Coherence imaging, Coded aperture imaging

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Proceedings Article | 6 March 2013 Paper

Monte-Carlo simulations of a coded-aperture x-ray scatter imaging system for molecular imaging

Anuj Kapadia, Manu Lakshmanan, Kalyani Krishnamurthy, Pooyan Sahbaee, Amarpreet Chawla, Scott Wolter, Ken Maccabe, David Brady, Ehsan Samei

Proceedings Volume 8668, 86680B (2013) https://doi.org/10.1117/12.2008484

KEYWORDS: Diffraction, X-rays, Monte Carlo methods, X-ray imaging, Coded apertures, Imaging systems, Sensors, X-ray diffraction, Aluminum, Scattering

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Showing 5 of 9 publications

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