title: Self-Aligning Manifolds for Matching Disparate Medical Image Datasets.
abstract: Manifold alignment can be used to reduce the dimensionality of multiple medical image datasets into a single globally consistent low-dimensional space. This may be desirable in a wide variety of problems, from fusion of different imaging modalities for Alzheimer's disease classification to 4DMR reconstruction from 2D MR slices. Unfortunately, most existing manifold alignment techniques require either a set of prior correspondences or comparability between the datasets in high-dimensional space, which is often not possible. We propose a novel technique for the 'self-alignment' of manifolds (SAM) from multiple dissimilar imaging datasets without prior correspondences or inter-dataset image comparisons. We quantitatively evaluate the method on 4DMR reconstruction from realistic, synthetic sagittal 2D MR slices from 6 volunteers and real data from 4 volunteers. Additionally, we demonstrate the technique for the compounding of two free breathing 3D ultrasound views from one volunteer. The proposed method performs significantly better for 4DMR reconstruction than state-of-the-art image-based techniques.
authors.forename: Christian F
authors.initials: CF
authors.lastname: Baumgartner
authors.forename: Alberto
authors.initials: A
authors.lastname: Gomez
authors.forename: Lisa M
authors.initials: LM
authors.lastname: Koch
authors.forename: James R
authors.initials: JR
authors.lastname: Housden
authors.forename: Christoph
authors.initials: C
authors.lastname: Kolbitsch
authors.forename: Jamie R
authors.initials: JR
authors.lastname: McClelland
authors.forename: Daniel
authors.initials: D
authors.lastname: Rueckert
authors.forename: Andy P
authors.initials: AP
authors.lastname: King
mesh_terms: D000465:Algorithms; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D014463:Ultrasonography / Q000379:methods*