Int J CARS (2017) 12:1521–1532 DOI 10.1007/s11548-017-1538-0 ORIGINAL ARTICLE Automated identiﬁcation and reduction of artifacts in cine four-dimensional computed tomography (4DCT) images using respiratory motion model 1,2 2,3 2,3 2,4,5 Min Li · Sarah Joy Castillo · Richard Castillo · Edward Castillo · 2,4 1 6 Thomas Guerrero · Liang Xiao · Xiaolin Zheng Received: 14 November 2016 / Accepted: 1 February 2017 / Published online: 14 February 2017 © CARS 2017 Abstract facts were located according to deviations between image Purpose Four-dimensional computed tomography (4DCT) points and their motion trajectories and further corrected images are often marred by artifacts that substantially based on position prediction. degrade image quality and confound image interpretation. Results The mean spatial error (standard deviation) was Human observation remains the standard method of 4DCT 1.00 (0.85) mm after registration as opposed to 6.96 (4.61) artifact evaluation, which is time-consuming and subjective. mm before registration. In addition, we took human observa- We develop a method to automatically identify and reduce tion conducted by medical experts as the gold standard. The artifacts in cine 4DCT images. average sensitivity, speciﬁcity, and accuracy of the proposed Methods We proposed an algorithm that consisted of two method in artifact
International Journal of Computer Assisted Radiology and Surgery – Springer Journals
Published: Feb 14, 2017
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