Automated Image Interpretation Computer-Assisted Diagnostics

Foran, David J.; Chen, Wenjin; Yang, Lin

doi:10.1155/2011/239761

Cited by 19 publications

(12 citation statements)

References 97 publications

(114 reference statements)

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“…[ 11 ] In the past, WSI was mostly focused on 2D analysis at the expense of 3D structural analysis. [ 12 13 ] More recently, 3D reconstruction of whole slide histological data has demonstrated value in the visualization and diagnosis of disease. [ 14 ] High-resolution 3D histopathologic imagery is, especially advantageous in discovering diagnostic patterns, due to its improved correlation between imaging modalities such as MRI, conventional CT, and WSI.…”

Section: W Hole S Lide I mentioning

confidence: 99%

Three-dimensional Imaging and Scanning: Current and Future Applications for Pathology

Farahani

Braun

Jutt

et al. 2017

Journal of Pathology Informatics

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Imaging is vital for the assessment of physiologic and phenotypic details. In the past, biomedical imaging was heavily reliant on analog, low-throughput methods, which would produce two-dimensional images. However, newer, digital, and high-throughput three-dimensional (3D) imaging methods, which rely on computer vision and computer graphics, are transforming the way biomedical professionals practice. 3D imaging has been useful in diagnostic, prognostic, and therapeutic decision-making for the medical and biomedical professions. Herein, we summarize current imaging methods that enable optimal 3D histopathologic reconstruction: Scanning, 3D scanning, and whole slide imaging. Briefly mentioned are emerging platforms, which combine robotics, sectioning, and imaging in their pursuit to digitize and automate the entire microscopy workflow. Finally, both current and emerging 3D imaging methods are discussed in relation to current and future applications within the context of pathology.

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Section: W Hole S Lide I mentioning

confidence: 99%

Three-dimensional Imaging and Scanning: Current and Future Applications for Pathology

Farahani

Braun

Jutt

et al. 2017

Journal of Pathology Informatics

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“…In addition to the subjectivity, there are well recognised issues of poor reproducibility in evaluation of tissue structures such as determining viable tumour percentage and tumour cellularity for molecular testing and grading systems such as Gleason grading in prostate cancer [ 129 – 131 ]. The increased use of digital slides and whole slide imaging in the last decade has ushered in an exciting era of computer-aided histopathology, with image analysis approaches providing a powerful companion tool for the extraction of quantitative data from digital images in a robust and reproducible manner [ 132 ]. Not only does this quantitative, multi-parametric data enable clinical correlations but also offers the ability to visualise quantitative tumoural phenotypes and provide deeper insights into the biological characteristics of tissue specimens.…”

Section: Digital Image Analysis For Improving the Precision And Predimentioning

confidence: 99%

Epidermal growth factor receptor immunohistochemistry: new opportunities in metastatic colorectal cancer

et al. 2015

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The treatment of cancer is becoming more precise, targeting specific oncogenic drivers with targeted molecular therapies. The epidermal growth factor receptor has been found to be over-expressed in a multitude of solid tumours. Immunohistochemistry is widely used in the fields of diagnostic and personalised medicine to localise and visualise disease specific proteins. To date the clinical utility of epidermal growth factor receptor immunohistochemistry in determining monoclonal antibody efficacy has remained somewhat inconclusive. The lack of an agreed reproducible scoring criteria for epidermal growth factor receptor immunohistochemistry has, in various clinical trials yielded conflicting results as to the use of epidermal growth factor receptor immunohistochemistry assay as a companion diagnostic. This has resulted in this test being removed from the licence for the drug panitumumab and not performed in clinical practice for cetuximab. In this review we explore the reasons behind this with a particular emphasis on colorectal cancer, and to suggest a way of resolving the situation through improving the precision of epidermal growth factor receptor immunohistochemistry with quantitative image analysis of digitised images complemented with companion molecular morphological techniques such as in situ hybridisation and section based gene mutation analysis.

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“…This results in a significant potential utility of whole slide image analysis and the quantitative characterization of pathological structures. A large suite of imaging analytical methods for quantitative analysis of pathology images has, therefore, been developed to meet these needs ( Qi et al, 2012; Foran et al, 2011; Yang et al, 2008; Teodoro et al, 2013). In addition, commercial and open-source products are also available (Aperio, Definiens, ImageJ, among others).…”

Section: Introductionmentioning

confidence: 99%

A framework for 3D vessel analysis using whole slide images of liver tissue sections

Liang

Wang

Treanor

et al. 2016

IJCBDD

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Three-dimensional (3D) high resolution microscopic images have high potential for improving the understanding of both normal and disease processes where structural changes or spatial relationship of disease features are significant. In this paper, we develop a complete framework applicable to 3D pathology analytical imaging, with an application to whole slide images of sequential liver slices for 3D vessel structure analysis. The analysis workflow consists of image registration, segmentation, vessel cross-section association, interpolation, and volumetric rendering. To identify biologically-meaningful correspondence across adjacent slides, we formulate a similarity function for four association cases. The optimal solution is then obtained by constrained Integer Programming. We quantitatively and qualitatively compare our vessel reconstruction results with human annotations. Validation results indicate a satisfactory concordance as measured both by region-based and distance-based metrics. These results demonstrate a promising 3D vessel analysis framework for whole slide images of liver tissue sections.

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Automated Image Interpretation Computer-Assisted Diagnostics

Cited by 19 publications

References 97 publications

Three-dimensional Imaging and Scanning: Current and Future Applications for Pathology

Three-dimensional Imaging and Scanning: Current and Future Applications for Pathology

Epidermal growth factor receptor immunohistochemistry: new opportunities in metastatic colorectal cancer

A framework for 3D vessel analysis using whole slide images of liver tissue sections

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