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

Zhuangfei Ma, Hidetaka Arimura, Shingo Kakeda, Yukunori Korogi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationInternational Forum on Medical Imaging in Asia 2019
EditorsFeng Lin, Hiroshi Fujita, Jong Hyo Kim
PublisherSPIE
ISBN (Electronic)9781510627758
DOIs
Publication statusPublished - Jan 1 2019
EventInternational Forum on Medical Imaging in Asia 2019 - Singapore, Singapore
Duration: Jan 7 2019Jan 9 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11050
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceInternational Forum on Medical Imaging in Asia 2019
CountrySingapore
CitySingapore
Period1/7/191/9/19

Fingerprint

Aneurysm
principal components analysis
Principal component analysis
Principal Component Analysis
Overlapping

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Ma, Z., Arimura, H., Kakeda, S., & Korogi, Y. (2019). Automated estimation of sizes of unruptured intracranial aneurysms in MRA images using localized principal component analysis. In F. Lin, H. Fujita, & J. H. Kim (Eds.), International Forum on Medical Imaging in Asia 2019 [110501L] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11050). SPIE. https://doi.org/10.1117/12.2521512

Automated estimation of sizes of unruptured intracranial aneurysms in MRA images using localized principal component analysis. / Ma, Zhuangfei; Arimura, Hidetaka; Kakeda, Shingo; Korogi, Yukunori.

International Forum on Medical Imaging in Asia 2019. ed. / Feng Lin; Hiroshi Fujita; Jong Hyo Kim. SPIE, 2019. 110501L (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 11050).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ma, Z, Arimura, H, Kakeda, S & Korogi, Y 2019, Automated estimation of sizes of unruptured intracranial aneurysms in MRA images using localized principal component analysis. in F Lin, H Fujita & JH Kim (eds), International Forum on Medical Imaging in Asia 2019., 110501L, Proceedings of SPIE - The International Society for Optical Engineering, vol. 11050, SPIE, International Forum on Medical Imaging in Asia 2019, Singapore, Singapore, 1/7/19. https://doi.org/10.1117/12.2521512
Ma Z, Arimura H, Kakeda S, Korogi Y. Automated estimation of sizes of unruptured intracranial aneurysms in MRA images using localized principal component analysis. In Lin F, Fujita H, Kim JH, editors, International Forum on Medical Imaging in Asia 2019. SPIE. 2019. 110501L. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.2521512
Ma, Zhuangfei ; Arimura, Hidetaka ; Kakeda, Shingo ; Korogi, Yukunori. / Automated estimation of sizes of unruptured intracranial aneurysms in MRA images using localized principal component analysis. International Forum on Medical Imaging in Asia 2019. editor / Feng Lin ; Hiroshi Fujita ; Jong Hyo Kim. SPIE, 2019. (Proceedings of SPIE - The International Society for Optical Engineering).
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