e-journal

The Tactile Sensation Imaging System for Embedded Lesion Characterization

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Abstract—Elasticity is an important indicator of tissue health, with increased stiffness pointing to an increased risk of cancer. We investigated a tissue inclusion characterization method for the applicationofearlybreasttumoridentification.Atactilesensation imagingsystem(TSIS)isdevelopedtocaptureimagesoftheembeddedlesionsusingtotalinternalreflectionprinciple.Fromtactileimages,wedevelopedanovelmethodtoestimatethatsize,depth,and elasticity of the embedded lesion using 3-D finite-element-modelbased forward algorithm, and neural-network-based inversion algorithmareemployed.Theproposedcharacterizationmethodwas validatedbytherealistictissuephantomwithinclusionstoemulate the tumors. The experimental results showed that, the proposed characterization method estimated the size, depth, and Young’s modulus of a tissue inclusion with 6.98%, 7.17%, and 5.07% relative errors, respectively. A pilot clinical study was also performed to characterize the lesion of human breast cancer patients using TSIS.

Index Terms—Elasticity imaging, mechanical imaging, optical imaging, tactile imaging system, tactile sensor, tumor detection.

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Ketersediaan

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Informasi Detail

Judul Seri

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No. Panggil

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Penerbit

: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS., 2013

Deskripsi Fisik

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, VOL. 17, NO. 2, MARCH 2013 p. 452-458

Bahasa

English

ISBN/ISSN

2168-2194

Klasifikasi

NONE

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

FOTOGRAFI KEDOKTERAN
TUMOR-DETEKSI

Info Detail Spesifik

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Pernyataan Tanggungjawab

Jong-Ha Lee and Chang-Hee Won

Versi lain/terkait

Lampiran Berkas

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