Automated neck-plane positioning on rotational angiography for intracranial aneurysm quantification.

Yoojin Nam¹, Eunjin Jeong¹, Yong-Hee Lee¹, YeongJun Kim¹, Donggyu Kim¹, Yeon Soo Kim¹, Deok Hee Lee¹, Seon Moon Hwang¹, Joon Ho Choi¹, Donghyun Won¹, Boseong Kwon²

¹From the Medipixel Inc. (Y.N., E.J., Y.H.L., Y.K., D.K., D.W.), Altician Inc. (D.W.), Seongnam-si, Republic of Korea and Department of Radiology (Y.N., Y.S.K., D.H.L., S.M.H., J.H.C., B.K.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.

²From the Medipixel Inc. (Y.N., E.J., Y.H.L., Y.K., D.K., D.W.), Altician Inc. (D.W.), Seongnam-si, Republic of Korea and Department of Radiology (Y.N., Y.S.K., D.H.L., S.M.H., J.H.C., B.K.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. bestkwonbbo@gmail.com.

PubMed DOI

Abstract

BACKGROUND AND PURPOSE: The precise three-dimensional (3D) mapping of cerebral aneurysms is crucial for treatment planning. However, traditional methods utilizing 2D digital subtraction angiography with manual cutting planes (MCP) are operator-dependent and often fail to capture the 3D geometry of complex aneurysms. MATERIALS AND METHODS: We evaluated an automated cutting plane (ACP) that isolate…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.