Literature DB >> 10695814

Volumetric measurements of right cerebral hemisphere infarction: use of a semiautomatic MRI segmentation technique.

P Dastidar1, T Heinonen, J P Ahonen, M Jehkonen, G Molnár.   

Abstract

The applications of a new segmentation software, Anatomatic, in the evaluation of volumetric measurements of brain infarctions and the new Medimag 3D software in the evaluation of 3D image representation of infarctions are described. These programs are applied to magnetic resonance imaging. The aim of this study is to evaluate the use of these software packages in making accurate volumetric measurements in 40 patients with right cerebral infarctions, in determining the correlations between the quantitated lesions and neurological/neuropsychological dysfunctions and in creating realistic 3D views of the infarctions. Using Anatomatic, reproducible infarction volumes were achieved with ease and within a reasonably fast time. Medimag helped achieve realistic 3D representations of the infarctions. When compared, the semiautomatic segmentation proved to be much faster and yielded higher infarction volumes than the manual segmentation technique. Significantly positive correlations between the infarction volumes and neurological dysfunctions and neuropsychological deficit (neglect) helped to explain the effect of volumes on the clinical status of the patients.

Entities:  

Mesh:

Year:  2000        PMID: 10695814     DOI: 10.1016/s0010-4825(99)00022-0

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  6 in total

1.  Evaluation of octree regional spatial normalization method for regional anatomical matching.

Authors:  P Kochunov; J Lancaster; P Thompson; A Boyer; J Hardies; P Fox
Journal:  Hum Brain Mapp       Date:  2000-11       Impact factor: 5.038

2.  Correlation between Serum D-Dimer Level and Volume in Acute Ischemic Stroke.

Authors:  Young-Woo Park; Eun-Jeong Koh; Ha-Young Choi
Journal:  J Korean Neurosurg Soc       Date:  2011-08-31

3.  Diffusion tensor imaging correlates with lesion volume in cerebral hemisphere infarctions.

Authors:  Maija E Rossi; Eeva Jason; Silvia Marchesotti; Prasun Dastidar; Jyrki Ollikainen; Seppo Soimakallio
Journal:  BMC Med Imaging       Date:  2010-09-17       Impact factor: 1.930

4.  ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI.

Authors:  Bjoern H Menze; Heinz Handels; Mauricio Reyes; Oskar Maier; Janina von der Gablentz; Levin Ḧani; Mattias P Heinrich; Matthias Liebrand; Stefan Winzeck; Abdul Basit; Paul Bentley; Liang Chen; Daan Christiaens; Francis Dutil; Karl Egger; Chaolu Feng; Ben Glocker; Michael Götz; Tom Haeck; Hanna-Leena Halme; Mohammad Havaei; Khan M Iftekharuddin; Pierre-Marc Jodoin; Konstantinos Kamnitsas; Elias Kellner; Antti Korvenoja; Hugo Larochelle; Christian Ledig; Jia-Hong Lee; Frederik Maes; Qaiser Mahmood; Klaus H Maier-Hein; Richard McKinley; John Muschelli; Chris Pal; Linmin Pei; Janaki Raman Rangarajan; Syed M S Reza; David Robben; Daniel Rueckert; Eero Salli; Paul Suetens; Ching-Wei Wang; Matthias Wilms; Jan S Kirschke; Ulrike M Kr Amer; Thomas F Münte; Peter Schramm; Roland Wiest
Journal:  Med Image Anal       Date:  2016-07-21       Impact factor: 8.545

5.  Medical image analysis methods in MR/CT-imaged acute-subacute ischemic stroke lesion: Segmentation, prediction and insights into dynamic evolution simulation models. A critical appraisal.

Authors:  Islem Rekik; Stéphanie Allassonnière; Trevor K Carpenter; Joanna M Wardlaw
Journal:  Neuroimage Clin       Date:  2012-10-17       Impact factor: 4.881

6.  Automated segmentation of haematoma and perihaematomal oedema in MRI of acute spontaneous intracerebral haemorrhage.

Authors:  Stefan Pszczolkowski; Zhe K Law; Rebecca G Gallagher; Dewen Meng; David J Swienton; Paul S Morgan; Philip M Bath; Nikola Sprigg; Rob A Dineen
Journal:  Comput Biol Med       Date:  2019-01-29       Impact factor: 4.589

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.