IEICE TRANSACTIONS on Information
Haptically Assisting Breast Tumor Detection by Augmenting Abnormal Lump
Summary :
This paper reports the use of haptic augmented reality in breast tumor palpation. In general, lumps in the breast are stiffer than surrounding tissues, allowing us to haptically detect them through self-palpation. The goal of the study is to assist self-palpation of lumps by haptically augmenting stiffness around lumps. The key steps are to estimate non-linear stiffness of normal tissues in the offline preprocessing step, detect areas that show abnormally stiffer responses, and amplify the difference in stiffness through a haptic augmented reality interface. The performance of the system was evaluated in a user-study, demonstrating the potential of the system.
- Publication
- IEICE TRANSACTIONS on Information Vol.E97-D No.2 pp.361-365
- Publication Date
- 2014/02/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E97.D.361
- Type of Manuscript
- LETTER
- Category
- Human-computer Interaction
Authors
Seokhee JEON
Kyung Hee University
Keyword
Latest Issue
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Seokhee JEON, "Haptically Assisting Breast Tumor Detection by Augmenting Abnormal Lump" in IEICE TRANSACTIONS on Information,
vol. E97-D, no. 2, pp. 361-365, February 2014, doi: 10.1587/transinf.E97.D.361.
Abstract: This paper reports the use of haptic augmented reality in breast tumor palpation. In general, lumps in the breast are stiffer than surrounding tissues, allowing us to haptically detect them through self-palpation. The goal of the study is to assist self-palpation of lumps by haptically augmenting stiffness around lumps. The key steps are to estimate non-linear stiffness of normal tissues in the offline preprocessing step, detect areas that show abnormally stiffer responses, and amplify the difference in stiffness through a haptic augmented reality interface. The performance of the system was evaluated in a user-study, demonstrating the potential of the system.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E97.D.361/_p
Copy
@ARTICLE{e97-d_2_361,
author={Seokhee JEON, },
journal={IEICE TRANSACTIONS on Information},
title={Haptically Assisting Breast Tumor Detection by Augmenting Abnormal Lump},
year={2014},
volume={E97-D},
number={2},
pages={361-365},
abstract={This paper reports the use of haptic augmented reality in breast tumor palpation. In general, lumps in the breast are stiffer than surrounding tissues, allowing us to haptically detect them through self-palpation. The goal of the study is to assist self-palpation of lumps by haptically augmenting stiffness around lumps. The key steps are to estimate non-linear stiffness of normal tissues in the offline preprocessing step, detect areas that show abnormally stiffer responses, and amplify the difference in stiffness through a haptic augmented reality interface. The performance of the system was evaluated in a user-study, demonstrating the potential of the system.},
keywords={},
doi={10.1587/transinf.E97.D.361},
ISSN={1745-1361},
month={February},}
Copy
TY - JOUR
TI - Haptically Assisting Breast Tumor Detection by Augmenting Abnormal Lump
T2 - IEICE TRANSACTIONS on Information
SP - 361
EP - 365
AU - Seokhee JEON
PY - 2014
DO - 10.1587/transinf.E97.D.361
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2014
AB - This paper reports the use of haptic augmented reality in breast tumor palpation. In general, lumps in the breast are stiffer than surrounding tissues, allowing us to haptically detect them through self-palpation. The goal of the study is to assist self-palpation of lumps by haptically augmenting stiffness around lumps. The key steps are to estimate non-linear stiffness of normal tissues in the offline preprocessing step, detect areas that show abnormally stiffer responses, and amplify the difference in stiffness through a haptic augmented reality interface. The performance of the system was evaluated in a user-study, demonstrating the potential of the system.
ER -
English
