Literature DB >> 9747567

Semi-automatic tool for segmentation and volumetric analysis of medical images.

T Heinonen1, P Dastidar, P Kauppinen, J Malmivuo, H Eskola.   

Abstract

Segmentation software is described, developed for medical image processing and run on Windows. The software applies basic image processing techniques through a graphical user interface. For particular applications, such as brain lesion segmentation, the software enables the combination of different segmentation techniques to improve its efficiency. The program is applied for magnetic resonance imaging, computed tomography and optical images of cryosections. The software can be utilised in numerous applications, including pre-processing for three-dimensional presentations, volumetric analysis and construction of volume conductor models.

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Mesh：

Year:  1998        PMID： 9747567     DOI： 10.1007/bf02522473

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN： 0140-0118            Impact factor:   2.602


  9 in total

1.  An expert system for guiding image segmentation.

Authors:  Z P Hu; T Pun; C Pellegrini
Journal:  Comput Med Imaging Graph       Date:  1990 Jan-Feb       Impact factor: 4.790

2.  Segmentation of T1 MR scans for reconstruction of resistive head models.

Authors:  T Heinonen; H Eskola; P Dastidar; P Laarne; J Malmivuo
Journal:  Comput Methods Programs Biomed       Date:  1997-11       Impact factor: 5.428

3.  The neurologist as neuroimager.

Authors:  J Brillman; R Kasdan; L R Wechsler
Journal:  Neurology       Date:  1997-02       Impact factor: 9.910

4.  Automated brain segmentation from single slice, multislice, or whole-volume MR scans using prior knowledge.

Authors:  N Saeed; J V Hajnal; A Oatridge
Journal:  J Comput Assist Tomogr       Date:  1997 Mar-Apr       Impact factor: 1.826

5.  Interactive algorithms for the segmentation and quantitation of 3-D MRI brain scans.

Authors:  P A Freeborough; N C Fox; R I Kitney
Journal:  Comput Methods Programs Biomed       Date:  1997-05       Impact factor: 5.428

6.  3D reconstruction of the brain from magnetic resonance images using a connectivity algorithm.

Authors:  H E Cline; C L Dumoulin; H R Hart; W E Lorensen; S Ludke
Journal:  Magn Reson Imaging       Date:  1987       Impact factor: 2.546

7.  Validation of a detailed computer model for the electric fields in the brain.

Authors:  P Laarne; H Eskola; J Hyttinen; V Suihko; J Malmivuo
Journal:  J Med Eng Technol       Date:  1995 Mar-Jun

8.  Image segmentation: methods and applications in diagnostic radiology and nuclear medicine.

Authors:  P Suetens; E Bellon; D Vandermeulen; M Smet; G Marchal; J Nuyts; L Mortelmans
Journal:  Eur J Radiol       Date:  1993-06       Impact factor: 3.528

9.  Anterior temporal lobes and hippocampal formations: normative volumetric measurements from MR images in young adults.

Authors:  C R Jack; C K Twomey; A R Zinsmeister; F W Sharbrough; R C Petersen; G D Cascino
Journal:  Radiology       Date:  1989-08       Impact factor: 11.105
  9 in total
  10 in total

1.  Computerised volumetric analysis of lesions in multiple sclerosis using new semi-automatic segmentation software.

Authors:  P Dastidar; T Heinonen; T Vahvelainen; I Elovaara; H Eskola
Journal:  Med Biol Eng Comput       Date:  1999-01       Impact factor: 2.602

2.  Neuroelectromagnetic forward head modeling toolbox.

Authors:  Zeynep Akalin Acar; Scott Makeig
Journal:  J Neurosci Methods       Date:  2010-05-08       Impact factor: 2.390

3.  Early treatment response evaluation in patients with diffuse large B-cell lymphoma--a pilot study comparing volumetric MRI and PET/CT.

Authors:  Xingchen Wu; Prasun Dastidar; Hannu Pertovaara; Pasi Korkola; Ritva Järvenpää; Maija Rossi; Tiit Kööbi; Hannu Eskola; Pirkko-Liisa Kellokumpu-Lehtinen
Journal:  Mol Imaging Biol       Date:  2011-08       Impact factor: 3.488

4.  Development of identification of the central sulcus in brain magnetic resonance imaging.

Authors:  Norio Hayashi; Keita Sakuta; Kaori Minehiro; Masako Takanaga; Shigeru Sanada; Masayuki Suzuki; Tosiaki Miyati; Tomoyuki Yamamoto; Osamu Matsui
Journal:  Radiol Phys Technol       Date:  2010-09-29

5.  Segmentation of skull and scalp in 3-D human MRI using mathematical morphology.

Authors:  Belma Dogdas; David W Shattuck; Richard M Leahy
Journal:  Hum Brain Mapp       Date:  2005-12       Impact factor: 5.038

6.  Semiautomated volumetry of the cerebrum, cerebellum-brain stem, and temporal lobe on brain magnetic resonance images.

Authors:  Norio Hayashi; Shigeru Sanada; Masayuki Suzuki; Yukihiro Matsuura; Kazuhiro Kawahara; Hideo Tsujii; Tomoyuki Yamamoto; Osamu Matsui
Journal:  Radiat Med       Date:  2008-02-27

7.  A quantitative study of nanoparticle skin penetration with interactive segmentation.

Authors:  Onseok Lee; See Hyun Lee; Sang Hoon Jeong; Jaeyoung Kim; Hwa Jung Ryu; Chilhwan Oh; Sang Wook Son
Journal:  Med Biol Eng Comput       Date:  2015-11-20       Impact factor: 2.602

8.  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

9.  Non-Hodgkin lymphoma response evaluation with MRI texture classification.

Authors:  Lara C V Harrison; Tiina Luukkaala; Hannu Pertovaara; Tuomas O Saarinen; Tomi T Heinonen; Ritva Järvenpää; Seppo Soimakallio; Pirkko-Liisa I Kellokumpu-Lehtinen; Hannu J Eskola; Prasun Dastidar
Journal:  J Exp Clin Cancer Res       Date:  2009-06-22

10.  Adipsin Is Associated with Multiple Sclerosis: A Follow-Up Study of Adipokines.

Authors:  Renuka Natarajan; Sanna Hagman; Mari Hämälainen; Tiina Leppänen; Prasun Dastidar; Eeva Moilanen; Irina Elovaara
Journal:  Mult Scler Int       Date:  2015-11-08
  10 in total

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