Touchable Computation: Computing-inspired Bio-detection

Chen, Yifan1,2; Shi, Shaolong2; Yao, Xin2; Nakano, Tadashi3; Kosmas, Panagiotis4

10.1109/SPAWC.2017.8227761

2017

2325-3789

978-1-5090-3010-1

2017 IEEE 18TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC)

2017-July

1-5

3-6 July 2017

Sapporo, Japan

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

We propose a new computing-inspired bio-detection framework called touchable computation (TouchComp). Under the rubric of TouchComp, the best solution in the parameter space is associated with the target to be detected. A population of externally steerable agents locate the optimal solution by moving through the parameter space, whose landscape (objective function) may be altered by these agents but the location of the best solution remains unchanged. Thus, one can infer the parameter space by observing the movement of agents. The term "touchable" emphasizes the framework's similarity to controlling by touching the screen with a finger, where the external field for controlling and tracking acts as the finger. We apply the TouchComp model to cancer detection, where the target is the cancer, the parameter space is the tissue region at high risk of malignancy, and agents are nanorobots loaded with contrast medium molecules for tracking purpose. Given this analogy, we revisit the classical particle swarm optimization (PSO) algorithm and apply it to TouchComp in order to achieve effective cancer detection. The PSO is modified by taking into account realistic in vivo propagation, controlling, and tracking conditions of nanorobots. Finally, we present numerical examples to demonstrate the effectiveness of the proposed computing-inspired bio-detection strategy.

Touchable computation computing-inspired bio-detection metaheuristics contrast-enhanced medical imaging nanorobots

通讯

英语

CPCI-S ; EI

Shenzhen Science, Technology and Innovation Commission Funds[KQCX2015033110182368] ; Shenzhen Science, Technology and Innovation Commission Funds[JCYJ20160301113918121] ; Shenzhen Science, Technology and Innovation Commission Funds[JSGG20160427105120572]

Engineering ; Telecommunications

Engineering, Electrical & Electronic ; Telecommunications

WOS:000427595900125

20181204936117

Contrast media ; Diseases ; Medical imaging ; Nanorobotics ; Nanorobots ; Particle swarm optimization (PSO) ; Touch screens ; Wireless telecommunication systems

Information Theory and Signal Processing:716.1 ; Computer Peripheral Equipment:722.2 ; Computer Software, Data Handling and Applications:723 ; Robotics:731.5 ; Imaging Techniques:746 ; Chemical Agents and Basic Industrial Chemicals:803

Web of Science

1.Univ Waikato, Hamilton, New Zealand
2.Southern Univ Sci & Technol, Shenzhen, Peoples R China
3.Osaka Univ, Suita, Osaka, Japan
4.Kings Coll London, London, England

Chen, Yifan,Shi, Shaolong,Yao, Xin,et al. Touchable Computation: Computing-inspired Bio-detection[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2017:1-5.