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Titolo:
Robust midsagittal plane extraction from normal and pathological 3-D neuroradiology images
Autore:
Liu, YX; Collins, RT; Rothfus, WE;
Indirizzi:
Carnegie Mellon Univ, Inst Robot, Pittsburgh, PA 15213 USA Carnegie MellonUniv Pittsburgh PA USA 15213 ot, Pittsburgh, PA 15213 USA Univ Pittsburgh, Med Ctr, Div Neuroradiol, Dept Radiol, Pittsburgh, PA 15213 USA Univ Pittsburgh Pittsburgh PA USA 15213 Radiol, Pittsburgh, PA 15213 USA
Titolo Testata:
IEEE TRANSACTIONS ON MEDICAL IMAGING
fascicolo: 3, volume: 20, anno: 2001,
pagine: 175 - 192
SICI:
0278-0062(200103)20:3<175:RMPEFN>2.0.ZU;2-A
Fonte:
ISI
Lingua:
ENG
Soggetto:
FUNCTIONAL BRAIN IMAGES; SYMMETRY DETECTION; INFORMATION; TRANSFORM;
Keywords:
medical image analysis; midsagittal plane; pathological neural image analysis; robust estimation; symmetry detection;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Engineering, Computing & Technology
Citazioni:
35
Recensione:
Indirizzi per estratti:
Indirizzo: Liu, YX Carnegie Mellon Univ, Inst Robot, 5000 Forbes Ave, Pittsburgh, PA 15213 USA Carnegie Mellon Univ 5000 Forbes Ave Pittsburgh PA USA 15213 3 USA
Citazione:
Y.X. Liu et al., "Robust midsagittal plane extraction from normal and pathological 3-D neuroradiology images", IEEE MED IM, 20(3), 2001, pp. 175-192

Abstract

This paper focuses on extracting the ideal midsagittal plane (iMSP) from three-dimensional (3-D) normal and pathological neuroimages, The main challenges in this work are the structural asymmetry that mag exist in pathological brains, and the anisotropic, unevenly sampled image data that is common in clinical practice. We present an edge-based, cross-correlation approach that decomposes the plane fitting problem into discovery of two-dimensionalsymmetry axes on each slice, followed by a robust estimation of plane parameters. The algorithm's tolerance to brain asymmetries, input image offsetsand image noise is quantitatively evaluated. We find that the algorithm can extract the iMSP from input 3-D images with 1) large asymmetrical lesions; 2) arbitrary initial rotation offsets; 3) low signal-to-noise ratio or high bias field. The iMSP algorithm is compared with an approach based on maximization of mutual information registration, and is found to exhibit superior performance under adverse conditions. Finally, no statistically significant difference is found between the midsagittal plane computed by the iMSPalgorithm and that estimated by two trained neuroradiologists.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 12/07/20 alle ore 09:42:53