Literature DB >> 19269786

Semi-automated method for brain hematoma and edema quantification using computed tomography.

A Bardera1, I Boada, M Feixas, S Remollo, G Blasco, Y Silva, S Pedraza.   

Abstract

In this paper, a semi-automated method for brain hematoma and edema segmentation, and volume measurement using computed tomography imaging is presented. This method combines a region growing approach to segment the hematoma and a level set segmentation technique to segment the edema. The main novelty of this method is the strategy applied to define the propagation function required by the level set approach. To evaluate the method, 18 patients with brain hematoma and edema of different size, shape and location were selected. The obtained results demonstrate that the proposed approach provides objective and reproducible segmentations that are similar to the manually obtained results. Moreover, the processing time of the proposed method is about 4 min compared to the 10 min required for manual segmentation.

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Year:  2009        PMID: 19269786     DOI: 10.1016/j.compmedimag.2009.02.001

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  14 in total

1.  Digitally quantifying cerebral hemorrhage using Photoshop and Image J.

Authors:  Xian Nan Tang; Ari Ethan Berman; Raymond Alan Swanson; Midori Anne Yenari
Journal:  J Neurosci Methods       Date:  2010-05-07       Impact factor: 2.390

2.  Detection and quantification of intracerebral and intraventricular hemorrhage from computed tomography images with adaptive thresholding and case-based reasoning.

Authors:  Yuanxiu Zhang; Mingyang Chen; Qingmao Hu; Wenhua Huang
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-08-23       Impact factor: 2.924

3.  Segmentation and quantification of intra-ventricular/cerebral hemorrhage in CT scans by modified distance regularized level set evolution technique.

Authors:  K N Bhanu Prakash; Shi Zhou; Tim C Morgan; Daniel F Hanley; Wieslaw L Nowinski
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-09       Impact factor: 2.924

4.  Automatic detection of the existence of subarachnoid hemorrhage from clinical CT images.

Authors:  Yonghong Li; Jianhuang Wu; Hongwei Li; Degang Li; Xiaohua Du; Zhijun Chen; Fucang Jia; Qingmao Hu
Journal:  J Med Syst       Date:  2010-09-09       Impact factor: 4.460

5.  Automatic Quantification of Computed Tomography Features in Acute Traumatic Brain Injury.

Authors:  Saurabh Jain; Thijs Vande Vyvere; Vasilis Terzopoulos; Diana Maria Sima; Eloy Roura; Andrew Maas; Guido Wilms; Jan Verheyden
Journal:  J Neurotrauma       Date:  2019-02-01       Impact factor: 5.269

6.  The Modified Graeb Score: an enhanced tool for intraventricular hemorrhage measurement and prediction of functional outcome.

Authors:  Timothy C Morgan; Jesse Dawson; Danielle Spengler; Kennedy R Lees; Chanel Aldrich; Nishant K Mishra; Karen Lane; Terence J Quinn; Marie Diener-West; Christopher J Weir; Peter Higgins; Mark Rafferty; Katie Kinsley; Wendy Ziai; Issam Awad; Matthew R Walters; Daniel Hanley
Journal:  Stroke       Date:  2013-01-31       Impact factor: 7.914

7.  Automated Segmentation and Severity Analysis of Subdural Hematoma for Patients with Traumatic Brain Injuries.

Authors:  Negar Farzaneh; Craig A Williamson; Cheng Jiang; Ashok Srinivasan; Jayapalli R Bapuraj; Jonathan Gryak; Kayvan Najarian; S M Reza Soroushmehr
Journal:  Diagnostics (Basel)       Date:  2020-09-30

8.  Computer-assisted delineation of hematoma from CT volume using autoencoder and Chan Vese model.

Authors:  Manas Kumar Nag; Saunak Chatterjee; Anup Kumar Sadhu; Jyotirmoy Chatterjee; Nirmalya Ghosh
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-10-30       Impact factor: 2.924

9.  Automatic segmentation of cerebral infarcts in follow-up computed tomography images with convolutional neural networks.

Authors:  Renan Sales Barros; Manon L Tolhuisen; Anna Mm Boers; Ivo Jansen; Elena Ponomareva; Diederik W J Dippel; Aad van der Lugt; Robert J van Oostenbrugge; Wim H van Zwam; Olvert A Berkhemer; Mayank Goyal; Andrew M Demchuk; Bijoy K Menon; Peter Mitchell; Michael D Hill; Tudor G Jovin; Antoni Davalos; Bruce C V Campbell; Jeffrey L Saver; Yvo B W E M Roos; Keith W Muir; Phil White; Serge Bracard; Francis Guillemin; Silvia Delgado Olabarriaga; Charles B L M Majoie; Henk A Marquering
Journal:  J Neurointerv Surg       Date:  2019-12-23       Impact factor: 5.836

Review 10.  Automated Detection and Screening of Traumatic Brain Injury (TBI) Using Computed Tomography Images: A Comprehensive Review and Future Perspectives.

Authors:  Vidhya V; Anjan Gudigar; U Raghavendra; Ajay Hegde; Girish R Menon; Filippo Molinari; Edward J Ciaccio; U Rajendra Acharya
Journal:  Int J Environ Res Public Health       Date:  2021-06-16       Impact factor: 3.390

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