Literature DB >> 9741894

Mechanical imaging: a new technology for medical diagnostics.

A Sarvazyan1.   

Abstract

Mechanical imaging (MI) is a newly developed modality of medical diagnostics based on reconstruction of tissue structure and viscoelastic properties using mechanical sensors. The essence of MI is the solution to an inverse problem using the data of stress patterns on the surface of tissue compressed by a pressure sensor array. Imaged tissue structures are presented in terms of their viscoelastic properties. Evaluation of tissue 'hardness' (shear elasticity modulus) provides a means for characterizing the tissue, differentiating normal and diseased conditions and detecting tumors and other lesions. In contrast to the other existing methods of medical imaging which use sophisticated hardware such as superconductive magnets, expensive X-ray equipment and complex ultrasonic phased arrays, MI hardware consists of inexpensive mechanical sensors and a positioning system connected to a PC. A key feature of MI is 'knowledge-based imaging'. To produce a three-dimensional image, the computer uses both the measured parameters of an individual examined object and a general database on anatomy and pathology of the object. Two applications of MI are currently being developed: MI for mass screening and detection of breast cancer and MI for imaging the prostate and diagnosing prostate diseases. A prototype of the device for mechanical imaging of the prostate has been developed and is being tested clinically at the Robert Wood Johnson Medical School, New Jersey. The device is comprised of a transrectal probe with a position sensor and a pressure sensor array mounted on the articulated tip, an electronic unit and a PC. Results of extensive laboratory studies with rubber prostate models and initial data obtained in clinical trials strongly suggests that for certain applications the MI technology, as a new modality of imaging, has a diagnostic potential comparable to that of conventional diagnostic technologies. Mechanical imaging of the prostate appeared to be an efficient means of objectively evaluating and imaging the prostate and detecting prostate cancer.

Entities:  

Mesh:

Year:  1998        PMID: 9741894     DOI: 10.1016/s1386-5056(98)00040-9

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  21 in total

1.  Quantifying vaginal tissue elasticity under normal and prolapse conditions by tactile imaging.

Authors:  Vladimir Egorov; Heather van Raalte; Vincent Lucente
Journal:  Int Urogynecol J       Date:  2011-11-10       Impact factor: 2.894

2.  AN OVERVIEW OF ELASTOGRAPHY - AN EMERGING BRANCH OF MEDICAL IMAGING.

Authors:  Armen Sarvazyan; Timothy J Hall; Matthew W Urban; Mostafa Fatemi; Salavat R Aglyamov; Brian S Garra
Journal:  Curr Med Imaging Rev       Date:  2011-11

3.  Prostate mechanical imaging: 3-D image composition and feature calculations.

Authors:  Vladimir Egorov; Suren Ayrapetyan; Armen P Sarvazyan
Journal:  IEEE Trans Med Imaging       Date:  2006-10       Impact factor: 10.048

4.  Prostate mechanical imaging: a new method for prostate assessment.

Authors:  Robert E Weiss; Vladimir Egorov; Suren Ayrapetyan; Noune Sarvazyan; Armen Sarvazyan
Journal:  Urology       Date:  2008-03       Impact factor: 2.649

5.  Development of array piezoelectric fingers towards in vivo breast tumor detection.

Authors:  Xin Xu; Youngsoo Chung; Ari D Brooks; Wei-Heng Shih; Wan Y Shih
Journal:  Rev Sci Instrum       Date:  2016-12       Impact factor: 1.523

6.  Vaginal tactile imaging.

Authors:  Vladimir Egorov; Heather van Raalte; Armen P Sarvazyan
Journal:  IEEE Trans Biomed Eng       Date:  2010-05-17       Impact factor: 4.538

7.  Mechanical Imaging - a Technology for 3-D Visualization and Characterization of Soft Tissue Abnormalities. A Review.

Authors:  A Sarvazyan; V Egorov
Journal:  Curr Med Imaging Rev       Date:  2012-02-01

Review 8.  Magnetic resonance elastography: a review.

Authors:  Yogesh K Mariappan; Kevin J Glaser; Richard L Ehman
Journal:  Clin Anat       Date:  2010-07       Impact factor: 2.414

9.  A model study of 3-dimensional localization of breast tumors using piezoelectric fingers of different probe sizes.

Authors:  Xin Xu; Wei-Heng Shih; Wan Y Shih
Journal:  Rev Sci Instrum       Date:  2019-01       Impact factor: 1.523

10.  Arterial elasticity imaging: comparison of finite-element analysis models with high-resolution ultrasound speckle tracking.

Authors:  Dae Woo Park; Michael S Richards; Jonathan M Rubin; James Hamilton; Grant H Kruger; William F Weitzel
Journal:  Cardiovasc Ultrasound       Date:  2010-06-18       Impact factor: 2.062

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.