Lumbar muscle and vertebral bodies segmentation of chemical shift encoding-based water-fat MRI: the reference database MyoSegmenTUM spine.
Background: Magnetic resonance imaging (MRI) is the modality of choice for diagnosing and monitoring muscular tissue pathologies and bone marrow alterations in the context of lower back pain, neuromuscular diseases and osteoporosis. Chemical shift encoding-based water-fat MRI allows for reliable det...
| Publicado en: | BMC Musculoskeletal Disorders Vol. 20; no. 1; pp. 1 - 8 |
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| Autores principales: | , , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
BioMed Central
4/9/2019
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| 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=135796257&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 135796257 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14712474 1CI5 jtl: BMC Musculoskeletal Disorders issn: 14712474 maglogo: N pubinfo: dt: 4/9/2019 vid: 20 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 135796257 135796257 NLM30961552 10.1186/s12891-019-2528-x NLM30961552 135796257 ppf: 1 ppct: 7 formats: tig: atl: Lumbar muscle and vertebral bodies segmentation of chemical shift encoding-based water-fat MRI: the reference database MyoSegmenTUM spine. aug: au: Burian, Egon Rohrmeier, Alexander Schlaeger, Sarah Dieckmeyer, Michael Diefenbach, Maximilian N. Syväri, Jan Klupp, Elisabeth Weidlich, Dominik Zimmer, Claus Rummeny, Ernst J. Karampinos, Dimitrios C. Kirschke, Jan S. Baum, Thomas affil: Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany sug: subj: Adipose Tissue Resource Databases Multifidus Muscles Musculoskeletal System Lumbar Vertebrae Magnetic Resonance Imaging Methods Aged Female Adult Adipose Tissue Metabolism Water Metabolism Middle Age Male Multifidus Muscles Metabolism Musculoskeletal System Metabolism Scales Aged: 65+ years Adult: 19-44 years Middle Aged: 45-64 years Female Male ab: Background: Magnetic resonance imaging (MRI) is the modality of choice for diagnosing and monitoring muscular tissue pathologies and bone marrow alterations in the context of lower back pain, neuromuscular diseases and osteoporosis. Chemical shift encoding-based water-fat MRI allows for reliable determination of proton density fat fraction (PDFF) of the muscle and bone marrow. Prior to quantitative data extraction, segmentation of the examined structures is needed. Performed manually, the segmentation process is time consuming and therefore limiting the clinical applicability. Thus, the development of automated segmentation algorithms is an ongoing research focus.Construction and Content: This database provides ground truth data which may help to develop and test automatic lumbar muscle and vertebra segmentation algorithms. Lumbar muscle groups and vertebral bodies (L1 to L5) were manually segmented in chemical shift encoding-based water-fat MRI and made publically available in the database MyoSegmenTUM. The database consists of water, fat and PDFF images with corresponding segmentation masks for lumbar muscle groups (right/left erector spinae and psoas muscles, respectively) and lumbar vertebral bodies 1-5 of 54 healthy Caucasian subjects. The database is freely accessible online at https://osf.io/3j54b/?view_only=f5089274d4a449cda2fef1d2df0ecc56 .Conclusion: A development and testing of segmentation algorithms based on this database may allow the use of quantitative MRI in clinical routine. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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