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Proceedings Paper

Quantifying mucosal blood volume fraction from multispectral images of the colon
Author(s): Ela Claridge; Džena Hidović-Rowe; Phillipe Taniere; Tariq Ismail
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Paper Abstract

One of the common physiological changes associated with cancer is the formation of a dense, irregular and leaky network of new blood vessels, which result in the increase of the blood volume fraction (BVF) at the site of a tumour. Such changes are not always obvious through visual inspection using a direct observation, an endoscopic device or colour photography. This paper presents a method for deriving quantitative estimates of BVF of the colon mucosa from multispectral images of the colon. The method has two stages. In the first ("forward") stage a physics-based model of light propagation computes the spectra corresponding to a range of instances of the colon tissue, and in particular the spectral changes resulting from changes in the quantity of blood volume fraction, haemoglobin saturation, the size and density of scattering particles, and the tissue thickness. In the second stage ("model inversion") the spectra obtained from the image data are used to derive the values of the above histological parameters. Parametric maps of the blood contents are created by storing at every pixel the BVF value recovered through the model inversion. In a pilot study multispectral images of ex-vivo samples of the colon were acquired from 8 patients. The samples contained histologically confirmed instances of adenocarcinoma and other pathologies. The parametric maps of BVF showed the significant increase in blood volume fraction (up to 75% above that of the surrounding the normal tissue). A Mann-Whitney test with Bonferroni correction showed that all but one of the differences (a benign neoplastic polyp) are significant (p<0.00015).

Paper Details

Date Published: 29 March 2007
PDF: 8 pages
Proc. SPIE 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images, 65110C (29 March 2007); doi: 10.1117/12.709559
Show Author Affiliations
Ela Claridge, The Univ. of Birmingham (United Kingdom)
Džena Hidović-Rowe, The Univ. of Birmingham (United Kingdom)
Phillipe Taniere, The Univ. of Birmingham (United Kingdom)
Tariq Ismail, The Univ. of Birmingham (United Kingdom)


Published in SPIE Proceedings Vol. 6511:
Medical Imaging 2007: Physiology, Function, and Structure from Medical Images
Armando Manduca; Xiaoping P. Hu, Editor(s)

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