Automated estimation of sizes of unruptured intracranial aneurysms in MRA images using localized principal component analysis

Zhuangfei Ma; Hidetaka Arimura; Shingo Kakeda; Yukunori Korogi

doi:10.1117/12.2521512

27 March 2019 Automated estimation of sizes of unruptured intracranial aneurysms in MRA images using localized principal component analysis

Zhuangfei Ma, Hidetaka Arimura, Shingo Kakeda, Yukunori Korogi

Author Affiliations +

Proceedings Volume 11050, International Forum on Medical Imaging in Asia 2019; 110501L (2019) https://doi.org/10.1117/12.2521512
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

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.

Citation Download Citation

Zhuangfei Ma, Hidetaka Arimura, Shingo Kakeda, and Yukunori Korogi "Automated estimation of sizes of unruptured intracranial aneurysms in MRA images using localized principal component analysis", Proc. SPIE 11050, International Forum on Medical Imaging in Asia 2019, 110501L (27 March 2019); https://doi.org/10.1117/12.2521512

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