2D MRI liver slices with navigator frames. A training and test data set for image based 4D MRI reconstruction. (Part II)

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dc.contributor.authorGulamhussene, Gino
dc.contributor.authorMeyer, Anneke
dc.contributor.authorRak, Marko
dc.contributor.authorLübeck, Cindy
dc.contributor.authorOmari, Jazan
dc.contributor.authorPech, Maciej
dc.contributor.authorHansen, Christian
dc.date.accessioned2021-06-24T08:15:59Z
dc.date.available2021-06-24T08:15:59Z
dc.date.issued2021
dc.descriptionThis data contains fully anonymized MRI data of the abdomens of 20 healthy subjects as basis to reconstruct 4D MRIs of the breathing motion of the subjects’ abdomen. This data publication uses the same protocol and is a continuation (part 2) of the data publication “2D MRI liver slices with navigator frames. A test data set for image based 4D MRI reconstruction” (https://doi.org/10.24352/UB.OVGU-2019-093)de_DE
dc.descriptionThe data is organized in three layers of directories.
dc.descriptionThe first layer of directories follows the naming convention YYYY-MM-DD_PPPP.zip, denoting the day of the session (YYYY-MM-DD) and an anonymized ID (PPPP) of the imaged subject.
dc.descriptionInside each zip there are four folders:
dc.description- Nav_+_Data -> contains the interleaved sequences.
dc.description- Nav_Pur_1 -> both Nav_Pur folders contain a reference navigator sequence.
dc.description- Nav_Pur_2 -> both Nav_Pur folders contain a reference navigator sequence.
dc.description- StarVibe_1 -> contains slices of a 3D Volume from the subjects abdomen
dc.descriptionSome subjects contain only the star vibe data, as the other data is published in Part one already.
dc.descriptionUse the PPPP identifierer to identify the same subject in all parts of the data publication
dc.description- Part one: "2D MRI liver slices with navigator frames. A test data set for image based 4D MRI reconstruction" (https://doi.org/10.1371/journal.pone.0235175)
dc.description- Part two: "2D MRI liver slices with navigator frames. a test data set for image based 4D MRI reconstruction. Part II" (https://doi.org/10.24352/UB.OVGU-2021-071)
dc.descriptionAll DICOM file names contain the following parts:
dc.descriptionPPPP_XXX_XXXX.MR.GULAMHUSSENE_LEBER.SSSS.NNNN.YYYY.MM.DD
dc.descriptionPPPP is an anonymize subject ID (unique and shared across data sets like Part I of this data set)
dc.descriptionMR.GULAMHUSSENE_LEBER is the name of the study
dc.descriptionSSSS is the sequence number
dc.descriptionNNNN is the image number in the sequence (ATTANTION: this is not the acquisition order, use the DICOM tag AcquisitionTime to infer the acquisition order)
dc.descriptionYYYY.MM.DD is the date of acquisition
dc.descriptionThe interleaved sequences are an alternating succession of navigator and data frames. Each data frame was imaged 166ms after the previous and 166ms before the following navigator frame.
dc.descriptionEach interleaved sequence images another data slice.
dc.descriptionThe navigator frames in the interleaved as well as in the reference sequences are imaged in the same slice position (scanner coordinates).
dc.description.abstractThis data contains fully anonymized MRI data of the abdomens of 20 healthy subjects as basis to reconstruct 4D MRIs of the breathing motion of the subjects’ abdomen. This data publication uses the same protocol and is a continuation (part 2) of the data publication “2D MRI liver slices with navigator frames. A test data set for image based 4D MRI reconstruction” (https://doi.org/10.24352/UB.OVGU-2019-093)de_DE
dc.identifier.citationTBAde_DE
dc.identifier.urihttp://open-science.ub.ovgu.de/xmlui/handle/684882692/88
dc.identifier.urihttps://doi.org/10.24352/UB.OVGU-2021-071
dc.language.isoende_DE
dc.publisherOtto-von-Guericke-Universität Magdeburgde_DE
dc.relation.urihttps://doi.org/10.24352/UB.OVGU-2019-093
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectTraining datade_DE
dc.subject4D-MRIde_DE
dc.subjectself-gatedde_DE
dc.subjectrespiratory motionde_DE
dc.subjectretrospective stackingde_DE
dc.subjectdeep learningde_DE
dc.title2D MRI liver slices with navigator frames. A training and test data set for image based 4D MRI reconstruction. (Part II)de_DE
dc.typeDatasetde_DE

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