Makiko Suzuki

dblp:70/7751 · DBLP profile ↗
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5ranked-venue papers
1as first author
0since 2021 · last 2012
0000-0003-2503-2108ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3Systems, architecture and hardware · 3Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
3 papers
Robot manipulation · 100%
Interdisciplinary, comprehensive, and emerging computing
4 papers
Medical and health informatics · 89% Environmental and earth informatics · 11%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › medical robotics
needle insertion
0.322012
Geometry effect of preloading probe on accurate needle insertion for breast tumor treatment · ICRA 2012
In vitro and in vivo validation of robotic palpation-based needle insertion method for breast tumor treatment · ICRA 2011
Medical and health informatics
computer-assisted intervention
0.112012
Enhanced Targeting in Breast Tissue Using a Robotic Tissue Preloading-Based Needle Insertion System · IEEE Trans. Robotics 2012
Visualization and visual analytics › visualization design
artistic visualization
0.112009
Tuvalu Visualization Project · SIGGRAPH ASIA Sketches 2009
Medical and health informatics › oncology
breast tumor treatment
0.122012
Geometry effect of preloading probe on accurate needle insertion for breast tumor treatment · ICRA 2012
In vitro and in vivo validation of robotic palpation-based needle insertion method for breast tumor treatment · ICRA 2011
Robotics › Robot manipulation
medical robotics
0.012012
Enhanced Targeting in Breast Tissue Using a Robotic Tissue Preloading-Based Needle Insertion System · IEEE Trans. Robotics 2012
Robotics › Robot manipulation › medical robotics
needle steering
0.012012
Enhanced Targeting in Breast Tissue Using a Robotic Tissue Preloading-Based Needle Insertion System · IEEE Trans. Robotics 2012
Environmental and earth informatics › climate science › climate change
climate change communication
0.012009
Tuvalu Visualization Project · SIGGRAPH ASIA Sketches 2009

Methods — techniques the papers use, named apart from their topics

numerical simulation · 0.6in vitro and in vivo experiments · 0.3finite element modeling · 0.3ultrasound imaging · 0.2in vitro and in vivo validation · 0.2
YearPublicationVenuePosition
2012 Geometry effect of preloading probe on accurate needle insertion for breast tumor treatment
abstract
We herein describe a needle insertion method involving tissue preloading for accurate breast tumor treatment. A mechanical preloading probe locates a tumor lesion from ultrasound imaging information and reduces lesion displacement during needle insertion by pressing the breast tissue. We validated the insertion accuracy of this method by numerical simulation and experiments both in vitro and in vivo. For further accuracy enhancement, we evaluated the geometry effect of the preloading probe on needle insertion accuracy by experiments in vitro. We compared the insertion accuracy between insertion with preloading using different probe diameters and normal needle insertion. In addition, we compared insertion accuracy at different tumor depths. The data indicated a tendency for adaptation of larger preloading probe diameters with deeper tumors. This suggests the potential for our method to enhance placement accuracy by real-time geometry regulation.
Maya Hatano, Yo Kobayashi, Makiko Suzuki, Yasuyuki Shiraishi, Tomoyuki Yambe, Makoto Hashizume, Masakatsu G. Fujie
ICRA3
2012 Enhanced Targeting in Breast Tissue Using a Robotic Tissue Preloading-Based Needle Insertion System
abstract
The use of minimally invasive procedures for breast tumor diagnosis and treatment, such as needle biopsy and radiofrequency ablation (RFA), is steadily increasing. Accurate needle insertion requires solving the problems of tissue deformation and target displacement. In this study, we developed a robotic needle insertion method to improve the precision of diagnostic biopsy and RFA treatment. The mechanical probe was designed to reduce tissue displacement by pressing the breast tissue before needle insertion: a technique that is known as preloading. We focused on the needle insertion phase and evaluated the insertion accuracy achieved. Using a numerical simulation model and an actual hog breast, we compared tissue preloaded needle insertion with normal needle insertion. The data obtained with both test systems showed that targeting errors were greatly reduced using preloading-based needle insertion, as compared with normal needle insertion. The procedure is expected to offer a safe and effective alternative to the traditional methods of needle insertion for breast tissue biopsy or RFA. Our study also revealed the relationship between insertion accuracy and preloading probe force.
Yo Kobayashi, Makiko Suzuki, Atsushi Kato, Maya Hatano, Kozo Konishi, Makoto Hashizume, Masakatsu G. Fujie
IEEE Trans. Robotics2
2011 In vitro and in vivo validation of robotic palpation-based needle insertion method for breast tumor treatment
abstract
We describe a palpation-based needle insertion method for diagnostic biopsy and radiofrequency ablation treatment of a breast tumor. The mechanical palpation probe locates cancerous tissue from ultrasound imaging information and reduces tissue displacement during needle insertion by pressing the breast tissue. We examined the insertion accuracy of this method and compared palpation-based needle insertion with normal needle insertion both in vitro and in vivo. Palpation-based needle insertion had a smaller error, suggesting that this procedure is a safe, effective alternative to traditional methods of breast needle insertion.
Maya Hatano, Yo Kobayashi, Ryutaro Hamano, Makiko Suzuki, Yasuyuki Shiraishi, Tomoyuki Yambe, Kozo Konishi, Makoto Hashizume, Masakatsu G. Fujie
ICRA4
2009 A robotic palpation-based needle insertion method for diagnostic biopsy and treatment of breast cancer
abstract
We describe here a palpation-based needle insertion method for diagnostic biopsy and treatment of breast cancer. The mechanical palpation probe locates cancerous tissue from force information and reduces tissue displacement during needle insertion. We compared palpation-based needle insertion to normal needle insertion by numerical simulation of a breast tissue model and by experiments in vitro. The data showed palpation-based needle insertion had a smaller error in both tests. Our findings suggest the procedure is a safe, effective alternative to traditional methods of breast tissue biopsy.
Yo Kobayashi, Makiko Suzuki, Atsushi Kato, Kozo Konishi, Makoto Hashizume, Masakatsu G. Fujie
IROS2
2009 Tuvalu Visualization Project
abstract
Visualization Project is an artistic visualization using Google Earth. This project is composed of two elements: Visualization and communication system Build the Future with 10,000 Tuvaluan for NPO Tuvalu Overview, and Mapping that is constructed of 3300 photographs. The purpose of this project is disclosing actual information about People and Scenery in Tuvalu to the world. It is said that global warming is exposing Tuvalu to the sea level rising. However, we suppose that it is important to understand not only the problem of global warming, but also the real situation of Tuvalu. The Internet is an effective tool for collecting information, but before it was difficult to obtain information of the real situation of Tuvalu on the Internet. Therefore, we produced this project to present the realities of People and Scenery of Tuvalu, to increase interest in Tuvalu, and to receive feedback from all over the world.
Makiko Suzuki, Yuichi Watanabe, Hidenori Watanave, Shuichi Endo
SIGGRAPH ASIA Sketches1