A multi-metric registration strategy for the alignment of longitudinal brain images in pediatric oncology.
Survival of pediatric patients with brain tumor has increased over the past 20 years, and increasing evidence of iatrogenic toxicities has been reported. In follow-ups, images are acquired at different time points where substantial changes of brain morphology occur, due to childhood physiological de...
| Published in: | Medical & Biological Engineering & Computing Vol. 58; no. 4; pp. 843 - 856 |
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| Main Authors: | , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Apr2020
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=142718783&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 142718783 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Apr2020 vid: 58 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 142718783 142718783 NLM32048135 10.1007/s11517-019-02109-4 NLM32048135 142718783 ppf: 843 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A multi-metric registration strategy for the alignment of longitudinal brain images in pediatric oncology. aug: au: Montin, Eros Belfatto, Antonella Bologna, Marco Meroni, Silvia Cavatorta, Claudia Pecori, Emilia Diletto, Barbara Massimino, Maura Oprandi, Maria Chiara Poggi, Geraldina Arrigoni, Filippo Peruzzo, Denis Pignoli, Emanuele Gandola, Lorenza Cerveri, Pietro Mainardi, Luca affil: Department of Electronics Information and Bioengineering (DEIB), Politecnico di Milano, Milan, Italy sug: subj: Image Processing, Computer Assisted Methods Magnetic Resonance Imaging Methods Brain Neoplasms Retrospective Design Brain Neoplasms Radiotherapy Child Child, Preschool Scales Ferrans and Powers Quality of Life Index Child: 6-12 years Child, Preschool: 2-5 years ab: Survival of pediatric patients with brain tumor has increased over the past 20 years, and increasing evidence of iatrogenic toxicities has been reported. In follow-ups, images are acquired at different time points where substantial changes of brain morphology occur, due to childhood physiological development and treatment effects. To address the image registration complexity, we propose two multi-metric approaches (Mplus, Mdot), combining mutual information (MI) and normalized gradient field filter (NGF). The registration performance of the proposed metrics was assessed on a simulated dataset (Brainweb) and compared with those obtained by MI and NGF separately, using mean magnitude and mean angular errors. The most promising metric (Mplus) was then selected and tested on a retrospective dataset comprising 45 pediatric patients who underwent focal radiotherapy for brain cancer. The quality of the realignment was scored by a radiation oncologist using a perceived misalignment metric (PM). All patients but one were assessed as PM ≤ 2 (good alignment), but the remaining one, severely affected by hydrocephalus and pneumocephalus at the first MRI acquisition, scored PM = 5 (unacceptable). These preliminary findings suggest that Mplus might improve the registration accuracy in complex applications such as pediatric oncology, when data are acquired throughout the years of follow-up, and is worth investigating. Graphical abstract Graphical abstract showing the clinical workflow of the overall registration procedure including the three rigid steps, the fourth deformable step, the reference MRI and the registered MRI as well as the contoured ROIs. The registration performance is assessed by means of the Perceived Misalignment score (PM). pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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