Validation of a fully automatic method for the routine selection of the anterior and posterior commissures in magnetic resonance images

Stereotactic and Functional Neurosurgery

Volumn 87, Issue 3, 2009, Pages 148-154

  Pallavaram, Srivatsan ^b   Dawant, Benoit M ^b   Koyama, Tatsuki ^a   Yu, Hong ^a   Neimat, Joseph ^a   Konrad, Peter E ^a   D'haese, Pierre François ^b  

^a VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

^b VANDERBILT UNIVERSITY   (United States)

Author keywords

Anterior and posterior commissures; Atlas; Automatic selection; Deep brain stimulation; Intersurgeon variability; Nonrigid registration

Indexed keywords

ACCURACY; ARTICLE; BRAIN COMMISSURE; CONTROLLED STUDY; HUMAN; IMAGE ANALYSIS; IMAGING SYSTEM; MAJOR CLINICAL STUDY; NUCLEAR MAGNETIC RESONANCE IMAGING; VALIDATION STUDY;

DEEP BRAIN STIMULATION; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; RETROSPECTIVE STUDIES; SEPTAL NUCLEI; STEREOTAXIC TECHNIQUES;

EID: 62849122263     PISSN: 10116125     EISSN: None     Source Type: Journal    
DOI: 10.1159/000209295     Document Type: Article

References (13)

1. D'Haese P-F, Cetinkaya E, Konrad PE, Kao C, Dawant BM: Computer-Aided Placement of Deep Brain Stimulators: From Planning to Intraoperative Guidance, IEEE Trans Med Imaging 2005; 11:1469-1478.
2. Pallavaram S, Yu H, Spooner J, D'Haese P-F, Bodenheimer B, Konrad PE, Dawant BM: Inter-surgeon variability in the selection of anterior and posterior commissures and its potential effects on target localization. Ste- reotact Funct Neurosurg 2008;2:113-119.
3. Schaltenbrand G, Wahren W: Atlas for Stereotaxy of the Human Brain. Stuttgart, Thieme, 1977.
4. Pallavaram S, Yu H, Spooner J, D'Haese P-F, Koyama T, Bodenheimer B, Konrad PE, Dawant BM: Automated selection of anterior and posterior commissures based on a de- formable atlas and its evaluation based on manual selections by neurosurgeons. SPIE Med Imaging 2007;28:65091C.1-95091C.9.
5. Anbazhagan P, Carass A, Bazin P-L, Prince JL: Automatic estimation of midsagittal plane and AC-PC alignment based on non- rigid registration. IEEE Int Symp on Biomed Imaging, Arlington, 2006, pp 828-831.
6. Rhode GK, Aldroubi A, Dawant BM: The adaptive bases algorithm for intensity-based nonrigid image registration. IEEE Trans Med Imaging 2003; 11:1470-1479.
7. Maes F, Collignon A, Suetens P: Multimo- dality image registration by maximization of mutual information. IEEE Trans Med Imaging 1997;2:187-198.
8. Wells WM, Viola P, Atsumi H, Nakajima S, Kikinis R: Multi-modal volume registration by maximization of mutual information. Med Image Analysis 1996;1:35-51.
9. Rohlfing T, Russakoff DB, Maurer CR: Performance-based classifier combination in atlas-based image segmentation using Expectation-Maximization parameter estimation. IEEE Trans Med Imaging 2004;8:983-994.
10. Warfield SK, Zou KH, Wells WM: Simultaneous Truth and Performance Level Estimation (STAPLE): an algorithm for the validation of image segmentation. IEEE Trans Med Imaging 2004;7:903-921.
11. Guimond A, Meunier J, Thirion JP: Average brain models: a convergence study, Comput Vis Image Underst 2000;9:192-210.
12. D'Haese P-F, Pallavaram S, Kao C, Konrad PE, Dawant BM: Automatic selection of DBS target points using multiple electrophysio- logical atlases. Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv. 2005; 8: 427-434.
13. R Development Core Team: R. A Language and Environment for Statistical Computing. Vienna, R Foundation for Statistical Computing, 2008.