Prof. Alastair G. Gale Profile

Prof. Alastair G. Gale

Professor of Applied Vision Sciences at Loughborough Univ

SPIE Involvement:

Author

Publications (55)

Proceedings Article | 15 February 2021 Poster + Presentation + Paper

Eye tracking in digital pathology: identifying expert and novice patterns in visual search behaviour

Ellhia Sudin, Dorina Roy, Nourdin Kadi, Panagiotis Triantafyllakis, Guprit Atwal, Alastair Gale, Ian Ellis, David Snead, Yan Chen

Proceedings Volume 11603, 116030Z (2021) https://doi.org/10.1117/12.2580959

KEYWORDS: Visualization, Eye, Optical tracking, Pathology, Diagnostics, Visual analytics, Tissues, Radiology, Core needle biopsy, Breast cancer

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Proceedings Article | 15 February 2021 Presentation + Paper

Blink identification with eye tracking: a software processing program

Mitchell Searjeant, Peter Phillips, Dorina Roy, Alastair Gale, Yan Chen

Proceedings Volume 11599, 115990S (2021) https://doi.org/10.1117/12.2580967

KEYWORDS: Eye, Digital breast tomosynthesis, Digital mammography, Breast cancer

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Proceedings Article | 15 February 2021 Presentation + Paper

Employing eye tracking to identify the onset of fatigue in Digital Breast Tomosynthesis (DBT) readers for a national breast cancer screening programme

Dorina Roy, Amanda Koh, Alastair Gale, Peter Phillips, William Teh, Michael Michell, Nisha Sharma, Iain Darker, Mitchell Searjeant, Ellhia Sudin, Yan Chen

Proceedings Volume 11599, 115990T (2021) https://doi.org/10.1117/12.2580968

KEYWORDS: Digital breast tomosynthesis, Breast cancer, Eye, Pathology, Digital mammography

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Proceedings Article | 16 March 2020 Paper

Understanding digital pathology performance: an eye tracking study

Amanda Koh, Dorina Roy, Alastair Gale, Raluca Mihai, Guprit Atwal, Ian Ellis, David Snead, Yan Chen

Proceedings Volume 11316, 1131607 (2020) https://doi.org/10.1117/12.2550513

KEYWORDS: Pathology, Eye, Diagnostics, Breast, Digital imaging, Microscopy, Visualization, Digital Light Processing, Scanners, Glasses

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Proceedings Article | 15 March 2019 Presentation + Paper

The wearable augmented reality (AR) approach to support mammographic training: hololens for screener training

Qiang Tang, Yan Chen, Gerald Schaefer, Alastair Gale

Proceedings Volume 10954, 1095408 (2019) https://doi.org/10.1117/12.2512425

KEYWORDS: Infrared sensors, Autoregressive models, Augmented reality, Sensors, Infrared detectors, Infrared radiation, Holograms, Cameras, Image registration, Applied research

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Proceedings Article | 4 March 2019 Paper

Prostate Imaging Self-assessment and Mentoring (PRISM): a prototype self-assessment scheme

Eleni Michalopoulou, Alastair Gale, Yan Chen

Proceedings Volume 10952, 1095212 (2019) https://doi.org/10.1117/12.2511960

KEYWORDS: Prisms, Prostate, Prostate cancer, Cancer, Biopsy, Pathology, Prototyping, Magnetic resonance imaging, Data processing, Applied research

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Proceedings Article | 19 March 2018 Paper

Analysis of visual search behaviour from experienced radiologists interpreting digital breast tomosynthesis (DBT) images: a pilot study

Leng Dong, Qiang Tang, Alastair Gale, Daniella Bernardi, Yan Chen

Proceedings Volume 10577, 1057707 (2018) https://doi.org/10.1117/12.2293615

KEYWORDS: Digital breast tomosynthesis, Breast, Visualization, Eye, Visual analytics, Mammography, 3D image processing, Diagnostics

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Proceedings Article | 13 March 2018 Paper

Development of an augmented reality approach to mammographic training: overcoming some real world challenges

Qiang Tang, Yan Chen, Gerald Schaefer, Alastair Gale

Proceedings Volume 10576, 105762M (2018) https://doi.org/10.1117/12.2293496

KEYWORDS: Autoregressive models, Augmented reality, Calibration, Standards development, Visualization, Virtual reality, Breast cancer, Data acquisition, Databases, Breast

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A dedicated workstation and its corresponding viewing software are essential requirements in breast screener training. A major challenge of developing further generic screener training technology (in particular, for mammographic interpretation training) is that high-resolution radiological images are required to be displayed on dedicated workstations whilst actual reporting of the images is generally completed on individual standard workstations. Due to commercial reasons, dedicated clinical workstations manufactured by leading international vendors tend not to have critical technical aspects divulged which would facilitate further integration of third party generic screener training technology. With standard workstations, it is noticeable that the conventional screener training depends highly on manual transcription so that traditional training methods can potentially be deficient in terms of real-time feedback and interaction. Augmented reality (AR) provides the ability to co-operate with both real and virtual environments, and therefore can supplement conventional training with virtual registered objects and actions. As a result, realistic screener training can co-operate with rich feedback and interaction in real time. Previous work¹ has shown that it is feasible to employ an AR approach to deliver workstation-independent radiological screening training by superimposing appropriate feedback coupled with the use of interaction interfaces. The previous study addressed presence issues and provided an AR recognisable stylus which allowed for drawing interaction. As a follow-up, this study extends the AR method and investigates realistic effects and the impacts of environmental illumination, application performance and transcription. A robust stylus calibration method is introduced to address environmental changes over time. Moreover, this work introduces a completed AR workflow which allows real time recording, computer analysable training data and further recoverable transcription during post-training. A quantitative evaluation results show an accuracy of more than 80% of user-drawn points being located within a pixel distance of 5.

Proceedings Article | 10 March 2017 Presentation + Paper

How quickly do breast screeners learn their skills?

Hossein Nevisi, Leng Dong, Yan Chen, Alastair Gale

Proceedings Volume 10136, 101360D (2017) https://doi.org/10.1117/12.2255918

KEYWORDS: Cancer, Breast, Mammography, Breast cancer, Chromium, Architectural distortion, Critical dimension metrology, Applied research, Medical imaging, Current controlled current source

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Proceedings Article | 10 March 2017 Presentation + Paper

Exploring the potential of analysing visual search behaviour data using FROC (free-response receiver operating characteristic) method: an initial study

Leng Dong, Yan Chen, Sarah Dias, William Stone, Joseph Dias, John Rout, Alastair Gale

Proceedings Volume 10136, 101360I (2017) https://doi.org/10.1117/12.2255901

KEYWORDS: Eye, Radiography, Visual analytics, Visualization, Surgery, Motion analysis, Medical imaging, Receivers, Data analysis, Analytical research, Radiology, Diagnostics

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Proceedings Article | 10 March 2017 Presentation + Paper

The implementation of an AR (augmented reality) approach to support mammographic interpretation training: an initial feasibility study

Qiang Tang, Yan Chen, Alastair Gale

Proceedings Volume 10136, 1013604 (2017) https://doi.org/10.1117/12.2255833

KEYWORDS: Augmented reality, Process modeling, Radiology, Autoregressive models, Performance modeling, Education and training, Cameras, Glasses, Image processing, Head, Medical imaging, Computer simulations, Visualization, Surgery

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Proceedings Article | 11 March 2014 Paper

Visual search behaviour during laparoscopic cadaveric procedures

Leng Dong, Yan Chen, Alastair Gale, Benjamin Rees, Charles Maxwell-Armstrong

Proceedings Volume 9037, 903719 (2014) https://doi.org/10.1117/12.2044389

KEYWORDS: Surgery, Eye, Laparoscopy, Visualization, Video, Medical imaging, Head, 3D displays, Optical tracking, Cameras

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Proceedings Article | 11 March 2014 Paper

Laparoscopic surgical skills training: an investigation of the potential of using surgeons' visual search behaviour as a performance indicator

Yan Chen, Leng Dong, Alastair Gale, Benjamin Rees, Charles Maxwell-Armstrong

Proceedings Volume 9037, 903704 (2014) https://doi.org/10.1117/12.2044387

KEYWORDS: Surgery, Laparoscopy, Eye, Visualization, Video, Cameras, Medical imaging, Medical research, Abdomen, Light sources

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Proceedings Article | 28 March 2013 Paper

Breast screening: understanding case difficulty and the nature of errors

Leng Dong, Yan Chen, Alastair Gale

Proceedings Volume 8673, 867316 (2013) https://doi.org/10.1117/12.2007919

KEYWORDS: Breast, Expectation maximization algorithms, Distance measurement, Medical imaging, Algorithm development, Visualization, Medical research, Lab on a chip, Image visualization, Architectural distortion

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Proceedings Article | 28 March 2013 Paper

Does routine breast screening practice over-ride display quality in reporting enriched test sets?

Yan Chen, Alastair Gale, Michael Evanoff

Proceedings Volume 8673, 86730V (2013) https://doi.org/10.1117/12.2007846

KEYWORDS: Breast, Cancer, Chromium, Optical resolution, Pathology, Radiology, Light sources and illumination, Breast cancer, Mammography, Medical imaging

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Proceedings Article | 28 March 2013 Paper

The variation of radiologists' performance over the course of a reading session

Markus Elze, Sian Taylor-Phillips, Claudia Mello-Thoms, Elizabeth Krupinski, Alastair Gale, Aileen Clarke

Proceedings Volume 8673, 867310 (2013) https://doi.org/10.1117/12.2007872

KEYWORDS: Mammography, Bone, Data modeling, Analytical research, Tumor growth modeling, Medical imaging, Visualization, Binary data, Biopsy, Diagnostics

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Proceedings Article | 7 March 2012 Paper

A potential method to identify poor breast screening performance

Leng Dong, Yan Chen, Alastair Gale, Dev Chakraborty

Proceedings Volume 8318, 831819 (2012) https://doi.org/10.1117/12.913610

KEYWORDS: Error analysis, Breast, Cancer, Statistical analysis, Medical imaging, Digital image processing, Image processing, Nonimpact printing, Image compression, Current controlled current source

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Proceedings Article | 7 March 2012 Paper

Performance differences across the Atlantic when UK and USA radiologists read the same set of test screening cases

Yan Chen, Alastair Gale, Michael Evanoff

Proceedings Volume 8318, 831811 (2012) https://doi.org/10.1117/12.913609

KEYWORDS: Breast, Mammography, Cancer, Tablets, Radiology, Calibration, Breast cancer, Chromium, Digital mammography, Medical imaging

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Proceedings Article | 3 March 2011 Paper

Is image manipulation necessary to interpret digital mammographic images efficiently?

Yan Chen, Alastair Gale, Anne Turnbull, Jonathan James

Proceedings Volume 7966, 79660S (2011) https://doi.org/10.1117/12.878753

KEYWORDS: Visualization, Digital imaging, Eye, Breast, Inspection, Data analysis, Mammography, Visual analytics, Video, Neodymium

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Proceedings Article | 3 March 2011 Paper

The time course of cancer detection performance

Sian Taylor-Phillips, Aileen Clarke, Matthew Wallis, Margot Wheaton, Alison Duncan, Alastair Gale

Proceedings Volume 7966, 796605 (2011) https://doi.org/10.1117/12.881042

KEYWORDS: Mammography, Breast, Cancer, Visualization, Databases, Biopsy, Radiography, Target detection, Medical imaging, Radiology

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Proceedings Article | 3 March 2011 Paper

Health professionals' agreement on density judgements and successful abnormality identification within the UK Breast Screening Programme

Iain Darker, Yan Chen, Alastair Gale

Proceedings Volume 7966, 796604 (2011) https://doi.org/10.1117/12.878761

KEYWORDS: Breast, Cancer, Breast cancer, Mammography, Reliability, Biopsy, Digital imaging, Picosecond phenomena, Inspection, Digital mammography

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Proceedings Article | 27 February 2010 Open Access

Maintaining quality in the UK breast screening program

Alastair Gale

Proceedings Volume 7627, 762702 (2010) https://doi.org/10.1117/12.846036

KEYWORDS: Breast, Mammography, Digital mammography, Cancer, Personal digital assistants, Tablets, Breast cancer, Biopsy, Visualization, Inspection

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Proceedings Article | 24 February 2010 Paper

The assessment of stroke multidimensional CT and MR imaging using eye movement analysis: does modality preference enhance observer performance?

Lindsey Cooper, Alastair Gale, Janak Saada, Swamy Gedela, Hazel Scott, Andoni Toms

Proceedings Volume 7627, 76270B (2010) https://doi.org/10.1117/12.843680

KEYWORDS: Magnetic resonance imaging, Computed tomography, Visualization, Eye, Radiology, Control systems, Diagnostics, Medical imaging, Image analysis, Motion analysis

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Proceedings Article | 24 February 2010 Paper

Influencing clinicians and healthcare managers: can ROC be more persuasive?

S. Taylor-Phillips, M. Wallis, A. Duncan, A. Gale

Proceedings Volume 7627, 76270X (2010) https://doi.org/10.1117/12.843784

KEYWORDS: Mammography, Breast, Medicine, Statistical analysis, Radiology, Analytical research, Digital mammography, Radiation effects, Mirrors, Receivers

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Proceedings Article | 24 February 2010 Paper

Mammographic feature type and reader variability by occupation: an ROC study

Hazel Scott, Alastair Gale

Proceedings Volume 7627, 762715 (2010) https://doi.org/10.1117/12.844377

KEYWORDS: Breast, Electronic filtering, Wavelength division multiplexing, Architectural distortion, Pathology, Surgery, Error analysis, Cancer, Medical imaging, Tablets

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Proceedings Article | 24 February 2010 Paper

Breast screening: visual search as an aid for digital mammographic interpretation training

Yan Chen, Ann Turnbull, Jonathan James, Alastair Gale, Hazel Scott

Proceedings Volume 7627, 76270C (2010) https://doi.org/10.1117/12.843820

KEYWORDS: Human-computer interaction, Breast, LCDs, Visualization, Digital mammography, Eye, Image resolution, Cancer, Optical resolution, Zoom lenses

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Proceedings Article | 28 April 2009 Paper

Automation of the CCTV-mediated detection of individuals illegally carrying firearms: combining psychological and technological approaches

Iain Darker, Paul Kuo, Ming Yuan Yang, Anastassia Blechko, Christos Grecos, Dimitrios Makris, Jean-Christophe Nebel, Alastair Gale

Proceedings Volume 7341, 73410P (2009) https://doi.org/10.1117/12.819998

KEYWORDS: Firearms, Detection and tracking algorithms, Surveillance, Cameras, Target detection, Image segmentation, Video surveillance, Algorithm development, Visualization, Video

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