A comparative study of segmentation techniques for the quantification of brain subcortical volume.
Manual tracing of magnetic resonance imaging (MRI) represents the gold standard for segmentation in clinical neuropsychiatric research studies, however automated approaches are increasingly used due to its time limitations. The accuracy of segmentation techniques for subcortical structures has not b...
| Publicado en: | Brain Imaging & Behavior Vol. 12; no. 6; pp. 1678 - 1696 |
|---|---|
| Autores principales: | , , , , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Dec2018
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=133675200&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 133675200 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 19317557 3GSC jtl: Brain Imaging & Behavior issn: 19317557 maglogo: N pubinfo: dt: Dec2018 vid: 12 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 133675200 133675200 NLM29442273 133675200 10.1007/s11682-018-9835-y NLM29442273 133675200 ppf: 1678 ppct: 18 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A comparative study of segmentation techniques for the quantification of brain subcortical volume. aug: au: Akudjedu, Theophilus N. Nabulsi, Leila Makelyte, Migle Scanlon, Cathy Hehir, Sarah Casey, Helen Ambati, Srinath Kenney, Joanne O'Donoghue, Stefani McDermott, Emma Kilmartin, Liam Dockery, Peter McDonald, Colm Hallahan, Brian Cannon, Dara M. affil: Centre for Neuroimaging & Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, Psychiatry & Anatomy, School of Medicine,College of Medicine Nursing and Health Sciences, National University of Ireland Galway, H91TK33, Galway, Ireland sug: subj: Brain Magnetic Resonance Imaging Methods Image Processing, Computer Assisted Methods Adult Brain Anatomy and Histology Middle Age Body Weights and Measures Mental Disorders Young Adult Female Male Human Brain Pathology Software Mental Disorders Pathology Information Science Adolescence Validation Studies Comparative Studies Evaluation Research Multicenter Studies Scales Adult: 19-44 years Middle Aged: 45-64 years Adolescent: 13-18 years Female Male ab: Manual tracing of magnetic resonance imaging (MRI) represents the gold standard for segmentation in clinical neuropsychiatric research studies, however automated approaches are increasingly used due to its time limitations. The accuracy of segmentation techniques for subcortical structures has not been systematically investigated in large samples. We compared the accuracy of fully automated [(i) model-based: FSL-FIRST; (ii) patch-based: volBrain], semi-automated (FreeSurfer) and stereological (Measure®) segmentation techniques with manual tracing (ITK-SNAP) for delineating volumes of the caudate (easy-to-segment) and the hippocampus (difficult-to-segment). High resolution 1.5 T T1-weighted MR images were obtained from 177 patients with major psychiatric disorders and 104 healthy participants. The relative consistency (partial correlation), absolute agreement (intraclass correlation coefficient, ICC) and potential technique bias (Bland-Altman plots) of each technique was compared with manual segmentation. Each technique yielded high correlations (0.77-0.87, p < 0.0001) and moderate ICC's (0.28-0.49) relative to manual segmentation for the caudate. For the hippocampus, stereology yielded good consistency (0.52-0.55, p < 0.0001) and ICC (0.47-0.49), whereas automated and semi-automated techniques yielded poor ICC (0.07-0.10) and moderate consistency (0.35-0.62, p < 0.0001). Bias was least using stereology for segmentation of the hippocampus and using FreeSurfer for segmentation of the caudate. In a typical neuropsychiatric MRI dataset, automated segmentation techniques provide good accuracy for an easy-to-segment structure such as the caudate, whereas for the hippocampus, a reasonable correlation with volume but poor absolute agreement was demonstrated. This indicates manual or stereological volume estimation should be considered for studies that require high levels of precision such as those with small sample size. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|