Frontiers Med. Biol. Engng , Vol. 11, No. 2, pp. 87– 101 (2001) Ó VSP 2001. Original paper Impedance computed tomography using an adaptive smoothing coef cient algorithm AKEMI SUZUKI ¤ and AKIHIKO UCHIYAMA School of Science and Engineering, Waseda University, 55N-06-10A, Ohkubo 3-4-1, Shinjuku-ku, Tokyo 169-8555, Japan Received 24 April 2000; revised 20 December 2000; accepted 29 January 2001 Abstract —In impedance computed tomography, a xed coef cient regularizationalgorithm has been frequently used to improve the ill-conditioningproblem of the Newton–Raphson algorithm. However, a lot of experimental data and a long period of computation time are needed to determine a good smoothing coef cient because a good smoothing coef cient has to be manually chosen from a number of coef cients and is a constant for each iteration calculation. Thus, sometimes the xed coef cient regularization algorithm distorts the information or fails to obtain any effect. In this paper, a new adaptive smoothing coef cient algorithm is proposed. This algorithm automatically calculates the smoothing coef cient from the eigenvalue of the ill-conditioned matrix. Therefore, the effective images can be obtained within a short computation time. Also the smoothing coef cient is automatically adjusted by the information
Frontiers of Medical & Biological Engineering – Brill
Published: Jan 1, 2001
Keywords: IMPEDANCE ALGORITHM; REGULARIZATION ALGORITHM; ILL-CONDITIONED MATRIX; COMPUTED TOMOGRAPHY; ADAPTIVE ALGORITHM; SMOOTHING COEFFICIENT
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera