PURPOSE: A new approach to the segmentation of 3D CT images is proposed in an attempt to provide texture-based segmentation of organs or disease diagnosis. 3D extension of Haralick texture features was studied calculating co-occurrences of all voxels in a small cubic region around the voxel. RESULTS: For verification, the proposed method was tested on a set of abdominal 3D volumes of patients. Statistically, the improvement in segmentation was significant for most of the organs considered herein. CONCLUSIONS: The proposed method has potential application in medical image segmentation, including diagnosis of diseases.
PURPOSE: A new approach to the segmentation of 3D CT images is proposed in an attempt to provide texture-based segmentation of organs or disease diagnosis. 3D extension of Haralick texture features was studied calculating co-occurrences of all voxels in a small cubic region around the voxel. RESULTS: For verification, the proposed method was tested on a set of abdominal 3D volumes of patients. Statistically, the improvement in segmentation was significant for most of the organs considered herein. CONCLUSIONS: The proposed method has potential application in medical image segmentation, including diagnosis of diseases.
Authors: Nicolas A Pannetier; Theano Stavrinos; Peter Ng; Michael Herbst; Maxim Zaitsev; Karl Young; Gerald Matson; Norbert Schuff Journal: Magn Reson Med Date: 2015-03-11 Impact factor: 4.668
Authors: Michael R Folkert; Jeremy Setton; Aditya P Apte; Milan Grkovski; Robert J Young; Heiko Schöder; Wade L Thorstad; Nancy Y Lee; Joseph O Deasy; Jung Hun Oh Journal: Phys Med Biol Date: 2017-06-12 Impact factor: 3.609
Authors: Rebekah H Gensure; David J Foran; Vincent M Lee; Vyacheslav M Gendel; Salma K Jabbour; Darren R Carpizo; John L Nosher; Lin Yang Journal: Acad Radiol Date: 2012-07-26 Impact factor: 3.173
Authors: Yifan Hu; Zhengrong Liang; Bowen Song; Hao Han; Perry J Pickhardt; Wei Zhu; Chaijie Duan; Hao Zhang; Matthew A Barish; Chris E Lascarides Journal: IEEE Trans Med Imaging Date: 2016-01-18 Impact factor: 10.048