Prof. Philip J. Bones Profile

Prof. Philip J. Bones

Emeritus Professor at Univ of Canterbury

SPIE Involvement:

Editor | Author | Instructor

Publications (22)

Proceedings Article | 18 September 2018 Presentation

Representing phase over irregular closed surfaces (Conference Presentation)

Philip Bones

Proceedings Volume 10772, 107720N (2018) https://doi.org/10.1117/12.2320711

KEYWORDS: Natural surfaces, Metals, Tissues, Magnetism, Statistical analysis, Magnetic resonance imaging, Visualization, Stereoscopy

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Proceedings Article | 6 September 2017 Paper

Use of (N-1)-D expansions for N-D phase unwrapping in MRI

Philip Bones, Laura King, Rick Millane

Proceedings Volume 10410, 104100G (2017) https://doi.org/10.1117/12.2275878

KEYWORDS: Magnetic resonance imaging, Metals, Algorithm development, Magnetism, Phase retrieval

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Proceedings Article | 21 September 2015 Paper

Image reconstruction in serial femtosecond nanocrystallography using x-ray free-electron lasers

Joe P. J. Chen, Richard Kirian, Kenneth Beyerlein, Richard Bean, Andrew Morgan, Oleksandr Yefanov, Romain Arnal, David Wojtas, Phil Bones, Henry Chapman, John C. H. Spence, Rick Millane

Proceedings Volume 9600, 960002 (2015) https://doi.org/10.1117/12.2187610

KEYWORDS: Crystals, X-rays, Crystallography, Molecules, Phase retrieval, Electrons, X-ray imaging, Nanocrystals, Femtosecond phenomena, Free electron lasers

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Proceedings Article | 21 September 2015 Paper

Phase estimation for magnetic resonance imaging near metal prostheses

Philip Bones, Laura King, Rick Millane

Proceedings Volume 9600, 960007 (2015) https://doi.org/10.1117/12.2188662

KEYWORDS: Phase shifts, Metals, Magnetic resonance imaging, Signal to noise ratio, Electroluminescent displays, Magnetism, Error analysis, Tissues, Surgery, Neodymium

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Proceedings Article | 17 October 2012 Paper

Energy-resolved Compton scatter estimation for micro-CT

A. Opie, A. Butler, P. Bones

Proceedings Volume 8506, 850616 (2012) https://doi.org/10.1117/12.930319

KEYWORDS: Sensors, Detection and tracking algorithms, Photons, Monte Carlo methods, Reconstruction algorithms, Signal attenuation, Algorithm development, X-rays, Compton scattering, Bone

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Proceedings Article | 15 October 2012 Paper

MR images from fewer data

Bahareh Vafadar, Philip Bones

Proceedings Volume 8500, 850003 (2012) https://doi.org/10.1117/12.930926

KEYWORDS: Transform theory, Magnetic resonance imaging, Reconstruction algorithms, Data acquisition, Compressed sensing, Image processing, Computer programming, Image compression, Associative arrays, Image resolution

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Proceedings Article | 20 September 2010 Paper

Development of a CT scanner based on the Medipix family of detectors

Philip Bones, Anthony P. Butler, J. Paul Ronaldson, Alex M. Opie

Proceedings Volume 7804, 780412 (2010) https://doi.org/10.1117/12.862166

KEYWORDS: Sensors, X-ray computed tomography, Tissues, X-rays, Signal attenuation, Dual energy imaging, Principal component analysis, Chemical elements, Scanners, Imaging systems

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Proceedings Article | 27 August 2010 Paper

Imposing spatio-temporal support in magnetic resonance angiographic imaging

Philip Bones, Bahareh Vafadar, Richard Watts, Bing Wu

Proceedings Volume 7800, 780007 (2010) https://doi.org/10.1117/12.861059

KEYWORDS: Magnetic resonance imaging, Data acquisition, Arteries, Temporal resolution, Angiography, Signal to noise ratio, Gadolinium, Veins, Image quality, Magnetism

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Proceedings Article | 5 September 2008 Paper

Exploiting image sparsity in parallel magnetic resonance imaging (pMRI)

Bing Wu, R. Millane, Richard Watts, Philip Bones

Proceedings Volume 7076, 707603 (2008) https://doi.org/10.1117/12.796820

KEYWORDS: Image restoration, Fourier transforms, Magnetic resonance imaging, Computer programming, Compressed sensing, Receivers, Signal processing, Data acquisition, Chemical elements, Atrial fibrillation

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Proceedings Article | 5 September 2008 Paper

Robust statistical extension to TRELLIS motion correction in MRI

Philip Bones, Julian Maclaren

Proceedings Volume 7076, 70760H (2008) https://doi.org/10.1117/12.796814

KEYWORDS: Magnetic resonance imaging, Signal to noise ratio, Data acquisition, Statistical analysis, Motion estimation, Image restoration, Reconstruction algorithms, Error analysis, Fourier transforms, Computer simulations

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Proceedings Article | 18 March 2008 Paper

Ordered k-space acquisition in contrast enhanced magnetic resonance angiography (CE-MRA)

B. Wu, J. Maclaren, R. Millane, R. Watts, P. Bones

Proceedings Volume 6913, 691346 (2008) https://doi.org/10.1117/12.769429

KEYWORDS: Data acquisition, Temporal resolution, Computer programming, Signal to noise ratio, Resonance enhancement, Magnetic resonance angiography, Magnetic resonance imaging, Angiography, Receivers, Image restoration

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Proceedings Article | 5 September 2006 Paper

Enhancement of chest radiographs using eigenimage processing

Philip Bones, Anthony Butler, Michael Hurrell

Proceedings Volume 6316, 63160C (2006) https://doi.org/10.1117/12.683556

KEYWORDS: Image registration, Chest imaging, Image processing, Image classification, Radiography, Diagnostics, Principal component analysis, Visualization, Image fusion, Lung

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Proceedings Article | 5 September 2006 Paper

Quantifying and correcting motion artifacts in MRI

Philip Bones, Julian Maclaren, Rick Millane, Richard Watts

Proceedings Volume 6316, 631608 (2006) https://doi.org/10.1117/12.681684

KEYWORDS: Magnetic resonance imaging, Signal to noise ratio, Data acquisition, Image registration, Motion measurement, Motion estimation, Image restoration, Computer simulations, Reconstruction algorithms, Image quality

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Proceedings Article | 22 October 2004 Paper

Determination of myosin filament positions and orientations in electron micrographs of muscle cross sections

Bjarni Bodvarsson, Soren Klim, Stig Mortensen, Martin Morkebjerg, James Chen, Julian Maclaren, Chun Yoon, Pradeep Luther, John Squire, Andrew Bainbridge-Smith, Philip Bones, Rick Millane

Proceedings Volume 5562, (2004) https://doi.org/10.1117/12.562357

KEYWORDS: Photomicroscopy, Binary data, Image analysis, Statistical analysis, X-ray diffraction, Image classification, Feature extraction, MATLAB, Bone, Image filtering

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Proceedings Article | 22 October 2004 Paper

Eigen analysis for classifying chest x-ray images

Philip Bones, Anthony Butler

Proceedings Volume 5562, (2004) https://doi.org/10.1117/12.565175

KEYWORDS: Chest imaging, Radiography, Facial recognition systems, Chest, Pathology, Classification systems, Computer aided diagnosis and therapy, Lung, Image registration, Bone

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Proceedings Article | 9 May 2002 Paper

Connective tissue representation for detection of microcalcifications in digital mammograms

Kristin McLoughlin, Philip Bones, Peter Kovesi

Proceedings Volume 4684, (2002) https://doi.org/10.1117/12.467084

KEYWORDS: Mammography, Image segmentation, Connective tissue, Electronic filtering, Digital imaging, Breast cancer, Computer aided diagnosis and therapy, Wavelets, Computing systems, Hough transforms

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SPIE Journal Paper | 1 April 2001

Statistical interpolation of sampled images

Valerie Leung, Philip Bones, Richard Lane

OE, Vol. 40, Issue 04, (April 2001) https://doi.org/10.1117/12.10.1117/1.1353799

KEYWORDS: Data modeling, Signal processing, Image processing, Quantization, Bone, Process modeling, Charge-coupled devices, Scanners, Data acquisition, Optical engineering

Proceedings Article | 16 November 2000 Paper

Tomographic blur identification using image edges

Philip Bones, Timo Bretschneider, Christopher Forne, Rick Millane, Stephen McNeill

Proceedings Volume 4123, (2000) https://doi.org/10.1117/12.409264

KEYWORDS: Point spread functions, Tomography, Satellite imaging, Satellites, Earth observing sensors, Image processing, Deconvolution, Roads, Convolution, Imaging systems

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Proceedings Article | 30 September 1999 Paper

Statistical basis for image interpolation

Philip Bones, Richard Lane

Proceedings Volume 3815, (1999) https://doi.org/10.1117/12.364122

KEYWORDS: Image resolution, Satellites, Data modeling, Error analysis, Statistical analysis, Cameras, Electronic filtering, Convolution, Image interpolation, Satellite imaging

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Proceedings Article | 9 December 1997 Paper

Effects of truncation on deconvolution

Richard Lane, Roy Irwan, Philip Bones

Proceedings Volume 3171, (1997) https://doi.org/10.1117/12.284711

KEYWORDS: Deconvolution, Convolution, Finite impulse response filters

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Proceedings Article | 9 November 1993 Paper

Noniterative methods for image deconvolution

Philip Bones, B. Satherley, C. Parker, Russell Watson

Proceedings Volume 2029, (1993) https://doi.org/10.1117/12.161985

KEYWORDS: Reconstruction algorithms, Point spread functions, Image restoration, Signal to noise ratio, Convolution, Deconvolution, Speckle, Digital imaging, Astronomy, Image processing

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Proceedings Article | 1 August 1990 Paper

Segmentation of document images

Philip Bones, Todd Griffin, Chris Carey-Smith

Proceedings Volume 1258, (1990) https://doi.org/10.1117/12.19950

KEYWORDS: Image segmentation, Optical character recognition, Image processing algorithms and systems, Visualization, Image processing, Image filtering, Scanners, Digital filtering, Solids, Sensors

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Showing 5 of 22 publications

Proceedings Volume Editor (8)

SPIE Conference Volume | 21 November 2018

Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2018

SPIE Conference Volume | 12 October 2015

Image Reconstruction from Incomplete Data VIII

SPIE Conference Volume | 27 September 2012

Image Reconstruction from Incomplete Data VII

SPIE Conference Volume | 23 August 2010

Image Reconstruction from Incomplete Data VI

SPIE Conference Volume | 28 August 2008

Image Reconstruction from Incomplete Data V

Showing 5 of 8 publications

Conference Committee Involvement (10)

Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2019

14 August 2019 | San Diego, California, United States

Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2018

22 August 2018 | San Diego, California, United States

Unconventional and Indirect Imaging, Image Reconstruction, and Wavefront Sensing 2017

9 August 2017 | San Diego, California, United States

Image Reconstruction from Incomplete Data VIII

11 August 2015 | San Diego, California, United States

Image Reconstruction from Incomplete Data VII

14 August 2012 | San Diego, California, United States

Showing 5 of 10 Conference Committees

Course Instructor

SC201: Practical Digital Image Reconstruction Algorithms

Many technical disciplines (e.g. remote sensing, medical imaging, etc.) require digital processing of data to reconstruct an image. This course presents an analysis of methods and algorithms used for reconstructing images from distorted and/or incomplete data, and the development for specific applications. Topics covered include image formation and degradation, Fourier methods and computations, filtering, projection- and probabilistic-based algorithms, deconvolution (deblurring), and phase retrieval.

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