Literature DB >> 22772733

Robotic palpation and mechanical property characterization for abnormal tissue localization.

Bummo Ahn1, Yeongjin Kim, Cheol Kyu Oh, Jung Kim.   

Abstract

Palpation is an intuitive examination procedure in which the kinesthetic and tactile sensations of the physician are used. Although it has been widely used to detect and localize diseased tissues in many clinical fields, the procedure is subjective and dependent on the experience of the individual physician. Palpation results and biomechanics-based mechanical property characterization are possible solutions that can enable the acquisition of objective and quantitative information on abnormal tissue localization during diagnosis and surgery. This paper presents an integrated approach for robotic palpation combined with biomechanical soft tissue characterization. In particular, we propose a new palpation method that is inspired by the actual finger motions that occur during palpation procedures. To validate the proposed method, robotic palpation experiments on silicone soft tissue phantoms with embedded hard inclusions were performed and the force responses of the phantoms were measured using a robotic palpation system. Furthermore, we carried out a numerical analysis, simulating the experiments and estimating the objective and quantitative properties of the tissues. The results indicate that the proposed approach can differentiate diseased tissue from normal tissue and can characterize the mechanical information of diseased tissue, which means that this method can be applied as a means of abnormality localization to diagnose prostate cancers.

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Year:  2012        PMID: 22772733     DOI: 10.1007/s11517-012-0936-2

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  22 in total

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3.  Robotic palpation-based mechanical property mapping for diagnosis of prostate cancer.

Authors:  Bummo Ahn; Enrique Ian S Lorenzo; Koon Ho Rha; Hyung Joo Kim; Jung Kim
Journal:  J Endourol       Date:  2011-04-14       Impact factor: 2.942

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Journal:  Med Image Anal       Date:  2007-10-23       Impact factor: 8.545

5.  An efficient soft tissue characterization algorithm from in vivo indentation experiments for medical simulation.

Authors:  Jung Kim; Bummo Ahn; Suvranu De; Mandayam A Srinivasan
Journal:  Int J Med Robot       Date:  2008-09       Impact factor: 2.547

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Journal:  IEEE Trans Biomed Eng       Date:  1988-02       Impact factor: 4.538

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

8.  Carcinoma of the prostate: prognostic evaluation of certain pathologic features in 208 radical prostatectomies. Examined by the step-section technique.

Authors:  D P Byar; F K Mostofi
Journal:  Cancer       Date:  1972-07       Impact factor: 6.860

9.  Measurements and modelling of the compliance of human and porcine organs.

Authors:  F J Carter; T G Frank; P J Davies; D McLean; A Cuschieri
Journal:  Med Image Anal       Date:  2001-12       Impact factor: 8.545

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Journal:  Int J Med Robot       Date:  2008-03       Impact factor: 2.547

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  9 in total

1.  Local property characterization of prostate glands using inhomogeneous modeling based on tumor volume and location analysis.

Authors:  Yeongjin Kim; Bummo Ahn; Jae Won Lee; Koon Ho Rha; Jung Kim
Journal:  Med Biol Eng Comput       Date:  2012-11-11       Impact factor: 2.602

2.  Inverse finite-element modeling for tissue parameter identification using a rolling indentation probe.

Authors:  Hongbin Liu; Kiattisak Sangpradit; Min Li; Prokar Dasgupta; Kaspar Althoefer; Lakmal D Seneviratne
Journal:  Med Biol Eng Comput       Date:  2013-09-15       Impact factor: 2.602

3.  Patient specific modeling of palpation-based prostate cancer diagnosis: effects of pelvic cavity anatomy and intrabladder pressure.

Authors:  Javier Palacio-Torralba; Elizabeth Jiménez Aguilar; Daniel W Good; Steven Hammer; S Alan McNeill; Grant D Stewart; Robert L Reuben; Yuhang Chen
Journal:  Int J Numer Method Biomed Eng       Date:  2015-08-19       Impact factor: 2.747

4.  Histology-based homogenization analysis of soft tissue: application to prostate cancer.

Authors:  Javier Palacio-Torralba; Daniel W Good; S Alan McNeill; Robert L Reuben; Yuhang Chen
Journal:  J R Soc Interface       Date:  2017-04       Impact factor: 4.118

5.  A novel method for rapid and quantitative mechanical assessment of soft tissue for diagnostic purposes: A computational study.

Authors:  Javier Palacio-Torralba; Daniel W Good; Grant D Stewart; S Alan McNeill; Robert L Reuben; Yuhang Chen
Journal:  Int J Numer Method Biomed Eng       Date:  2017-08-23       Impact factor: 2.747

6.  A novel palpation-based method for tumor nodule quantification in soft tissue-computational framework and experimental validation.

Authors:  Javier Palacio-Torralba; Robert L Reuben; Yuhang Chen
Journal:  Med Biol Eng Comput       Date:  2020-04-11       Impact factor: 2.602

7.  Design of a Drop-in EBI Sensor Probe for Abnormal Tissue Detection in Minimally Invasive Surgery.

Authors:  Guanming Zhu; Liang Zhou; Shilong Wang; Pengjie Lin; Jing Guo; Shuting Cai; Xiaoming Xiong; Xiaobing Jiang; Zhuoqi Cheng
Journal:  J Electr Bioimpedance       Date:  2020-12-31

8.  iApp: An Autonomous Inspection, Auscultation, Percussion, and Palpation Platform.

Authors:  Semin Ryu; Seung-Chan Kim; Dong-Ok Won; Chang Seok Bang; Jeong-Hwan Koh; In Cheol Jeong
Journal:  Front Physiol       Date:  2022-02-14       Impact factor: 4.566

9.  Optical-based artificial palpation sensors for lesion characterization.

Authors:  Jong-Ha Lee; Yoon Nyun Kim; Jeonghun Ku; Hee-Jun Park
Journal:  Sensors (Basel)       Date:  2013-08-21       Impact factor: 3.576

  9 in total

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