Fully-Automatic Labelling of Aneurysm Voxels for Volume Estimation

Bruijns, Jan

doi:10.1007/978-3-642-18993-7_11

Cited by 4 publications

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Two distance transformations were used to implement the erosion and dilation. A similar procedure was used to label aneurysm voxels in [9]. A primary 3d Euclidean distance transform E is performed to compute the minimum distance from each voxel in N 1 to the background.…”

Section: Separation From Attached Vasculaturementioning

confidence: 99%

Fast Automated Segmentation and Reproducible Volumetry of Pulmonary Metastases in CT-Scans for Therapy Monitoring

Kuhnigk

Dicken

Bornemann

et al. 2004

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004

View full text Add to dashboard Cite

Abstract. The assessment of metastatic growth under chemotherapy belongs to the daily radiological routine and is currently performed by manual measurements of largest nodule diameters. As in lung cancer screening where 3d volumetry methods have already been developed by other groups, computer assistance would be beneficial to improve speed and reliability of growth assessment. We propose a new morphology and model based approach for the fast and reproducible volumetry of pulmonary nodules that was explicitly developed to be applicable to lung metastases which are frequently large, not necessarily spherical, and often complexly attached to vasculature and chest wall. A database of over 700 nodules from more than 50 patient CT scans from various scanners was used to test the algorithm during development. An in vivo reproducibility study was conducted concerning the volumetric analysis of 105 metastases from 8 patients that were subjected to a low dose CT scan twice within several minutes. Low median volume deviations in inter-observer (0.1%) and inter-scan (4.7%) tests and a negligible average computation time of 0.3 seconds were measured. The experiments revealed that clinically significant volume change can be detected reliably by the method.

show abstract

Section: Separation From Attached Vasculaturementioning

confidence: 99%