title: Multi-channel MRI segmentation of eye structures and tumors using patient-specific features.
abstract: Retinoblastoma and uveal melanoma are fast spreading eye tumors usually diagnosed by using 2D Fundus Image Photography (Fundus) and 2D Ultrasound (US). Diagnosis and treatment planning of such diseases often require additional complementary imaging to confirm the tumor extend via 3D Magnetic Resonance Imaging (MRI). In this context, having automatic segmentations to estimate the size and the distribution of the pathological tissue would be advantageous towards tumor characterization. Until now, the alternative has been the manual delineation of eye structures, a rather time consuming and error-prone task, to be conducted in multiple MRI sequences simultaneously. This situation, and the lack of tools for accurate eye MRI analysis, reduces the interest in MRI beyond the qualitative evaluation of the optic nerve invasion and the confirmation of recurrent malignancies below calcified tumors. In this manuscript, we propose a new framework for the automatic segmentation of eye structures and ocular tumors in multi-sequence MRI. Our key contribution is the introduction of a pathological eye model from which Eye Patient-Specific Features (EPSF) can be computed. These features combine intensity and shape information of pathological tissue while embedded in healthy structures of the eye. We assess our work on a dataset of pathological patient eyes by computing the Dice Similarity Coefficient (DSC) of the sclera, the cornea, the vitreous humor, the lens and the tumor. In addition, we quantitatively show the superior performance of our pathological eye model as compared to the segmentation obtained by using a healthy model (over 4% DSC) and demonstrate the relevance of our EPSF, which improve the final segmentation regardless of the classifier employed.
authors.affiliation: Radiology Department, CIBM, Lausanne University and University Hospital, Lausanne, Switzerland.|Ophthalmic Technology Group, ARTORG Center Univ. of Bern, Bern, Switzerland.
authors.forename: Carlos
authors.initials: C
authors.lastname: Ciller
authors.affiliation: Ophthalmic Technology Group, ARTORG Center Univ. of Bern, Bern, Switzerland.
authors.forename: Sandro
authors.initials: S
authors.lastname: De Zanet
authors.affiliation: Biomedical Image Analysis Group, Imperial College London, London, United Kingdom.
authors.forename: Konstantinos
authors.initials: K
authors.lastname: Kamnitsas
authors.affiliation: Radiology Department, CIBM, Lausanne University and University Hospital, Lausanne, Switzerland.
authors.forename: Philippe
authors.initials: P
authors.lastname: Maeder
authors.affiliation: Biomedical Image Analysis Group, Imperial College London, London, United Kingdom.
authors.forename: Ben
authors.initials: B
authors.lastname: Glocker
authors.affiliation: Unit of Pediatric Ocular Oncology, Jules Gonin Eye Hospital, Lausanne, Switzerland.
authors.forename: Francis L
authors.initials: FL
authors.lastname: Munier
authors.affiliation: Biomedical Image Analysis Group, Imperial College London, London, United Kingdom.
authors.forename: Daniel
authors.initials: D
authors.lastname: Rueckert
authors.affiliation: Radiology Department, CIBM, Lausanne University and University Hospital, Lausanne, Switzerland.|Signal Processing Laboratory, Ećole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
authors.forename: Jean-Philippe
authors.initials: JP
authors.lastname: Thiran
authors.affiliation: Radiology Department, CIBM, Lausanne University and University Hospital, Lausanne, Switzerland.|Signal Processing Laboratory, Ećole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
authors.forename: Meritxell
authors.initials: M
authors.lastname: Bach Cuadra
authors.affiliation: Ophthalmic Technology Group, ARTORG Center Univ. of Bern, Bern, Switzerland.
authors.forename: Raphael
authors.initials: R
authors.lastname: Sznitman
mesh_terms: D000465:Algorithms; D003315:Cornea / Q000033:anatomy & histology / Q000000981:diagnostic imaging; D005123:Eye / Q000033:anatomy & histology / Q000000981:diagnostic imaging*; D005134:Eye Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D007908:Lens, Crystalline / Q000000981:diagnostic imaging; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008953:Models, Anatomic; D012590:Sclera / Q000033:anatomy & histology / Q000000981:diagnostic imaging; D014822:Vitreous Body / Q000033:anatomy & histology / Q000000981:diagnostic imaging