Literature DB >> 15357184

Dynamic infrared imaging for the detection of malignancy.

Terry M Button1, Haifang Li, Paul Fisher, Ruth Rosenblatt, Khaldoon Dulaimy, Song Li, Brian O'Hea, Mathew Salvitti, Veronica Geronimo, Christine Geronimo, Sachin Jambawalikar, Paola Carvelli, Richard Weiss.   

Abstract

The potential for malignancy detection using dynamic infrared imaging (DIRI) has been investigated in an animal model of human malignancy. Malignancy was apparent in images formed at the vasomotor and cardiogenic frequencies of tumour bearing mice. The observation of malignancy was removed by the administration of an agent that blocks vasodilation caused by nitric oxide (NO). Image patterns similar to those that characterize malignancy could be mimicked in normal mice using an NO producing agent. Apparently DIRI allows for cancer detection in this model through vasodilation caused by malignancy generated NO. Dynamic infrared detection of vasomotor and cardiogenic surface perfusion was validated in human subjects by a comparison with laser Doppler flowmetry (LDF). Dynamic infrared imaging technology was then applied to breast cancer detection. It is shown that dynamic infrared images formed at the vasomotor and cardiogenic frequencies of the normal and malignant breast have image pattern differences, which may allow for breast cancer detection.

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Year:  2004        PMID: 15357184     DOI: 10.1088/0031-9155/49/14/005

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  7 in total

1.  Involuntary motion tracking for medical dynamic infrared thermography using a template-based algorithm.

Authors:  Tze-Yuan Cheng; Cila Herman
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2013-03-13

2.  Motion tracking in infrared imaging for quantitative medical diagnostic applications.

Authors:  Tze-Yuan Cheng; Cila Herman
Journal:  Infrared Phys Technol       Date:  2014-01       Impact factor: 2.638

3.  Infrared thermography of cutaneous melanoma metastases.

Authors:  Amber L Shada; Lynn T Dengel; Gina R Petroni; Mark E Smolkin; Scott Acton; Craig L Slingluff
Journal:  J Surg Res       Date:  2012-09-27       Impact factor: 2.192

4.  Enhanced resting-state dynamics of the hemoglobin signal as a novel biomarker for detection of breast cancer.

Authors:  Harry L Graber; Rabah Al abdi; Yong Xu; Armand P Asarian; Peter J Pappas; Lisa Dresner; Naresh Patel; Kuppuswamy Jagarlamundi; William B Solomon; Randall L Barbour
Journal:  Med Phys       Date:  2015-11       Impact factor: 4.071

5.  Wavelet-based multifractal analysis of dynamic infrared thermograms to assist in early breast cancer diagnosis.

Authors:  Evgeniya Gerasimova; Benjamin Audit; Stephane G Roux; André Khalil; Olga Gileva; Françoise Argoul; Oleg Naimark; Alain Arneodo
Journal:  Front Physiol       Date:  2014-05-08       Impact factor: 4.566

6.  Hemoglobin state-flux: A finite-state model representation of the hemoglobin signal for evaluation of the resting state and the influence of disease.

Authors:  Randall L Barbour; Harry L Graber; San-Lian S Barbour
Journal:  PLoS One       Date:  2018-06-08       Impact factor: 3.240

Review 7.  Application of infrared thermography in computer aided diagnosis.

Authors:  Oliver Faust; U Rajendra Acharya; E Y K Ng; Tan Jen Hong; Wenwei Yu
Journal:  Infrared Phys Technol       Date:  2014-06-20       Impact factor: 2.638

  7 in total

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