@inproceedings{205c77bfdcbc4db0b7cfeb08c47cd7e4,
title = "Automated estimation of sizes of unruptured intracranial aneurysms in MRA images using localized principal component analysis",
abstract = "It is substantially difficult for radiologists to measure intracranial aneurysm sizes because of overlapping structures and/or unusual locations, especially for aneurysms smaller than 7 mm. Therefore, we have developed an automated approach for estimation of unruptured intracranial aneurysm sizes in MRA images. The errors of estimated aneurysm sizes in the longest, middle and shortest diameters were 2.53%, 10.79% and 12.62%, respectively.",
author = "Zhuangfei Ma and Hidetaka Arimura and Shingo Kakeda and Yukunori Korogi",
note = "Publisher Copyright: {\textcopyright} 2019 SPIE.; International Forum on Medical Imaging in Asia 2019 ; Conference date: 07-01-2019 Through 09-01-2019",
year = "2019",
doi = "10.1117/12.2521512",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Feng Lin and Hiroshi Fujita and Kim, {Jong Hyo}",
booktitle = "International Forum on Medical Imaging in Asia 2019",
address = "United States",
}