DOI: 10.14704/nq.2018.16.1.1178

Identification of Glioma Pseudoprogression Based on Gabor Dictionary and Sparse Representation Model

Xiaomei Li, Gongwen Xu, Qianqian Cao, Wen Zou, Ying Xu, Ping Cong

Abstract


This paper aims to find an effective clinical means to separate glioma pseudoprogression from true recurrence. To this end, the sparse representation method was introduced into the field of medical image processing. The key solution is to combine the training samples into a redundant dictionary. With the sparse decomposition algorithm, the test samples were represented by the combination of the sparse linear coefficients of training samples. Then, a suitable classifier was generated for the classification of sparse atoms. Finally, the author carried out a case study and proved that our method can effectively diagnose pseudoprogression in glioma, and enjoys a good prospect of clinical application.

Keywords


Glioma, Radiotherapy (RT), Temozolomide (TMZ) CHEmotherapy, Pseudoprogression, Gabor Dictionary, Sparse Representation Model

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References


Al-Kofahi Y, Lassoued W, Lee W. Improved automatic detection and segmentation of cell nuclei in histopathology images. IEEE Transactions on Biomedical Engineering 2010;5(4):841-52.

Aus HM, Harms H, Haucke M. Leukemia-related morphological features in blast cells. Cytometry 1986; 7(4):365-370.

Chamberlain MC, Glantz MJ, Chalmers L, Van Horn A, Sloan AE. Early necrosis following concurrent Temodar and radiotherapy in patients with glioblastoma. Journal of neuro-Oncology 2007; 82(1):81-83.

Choi YJ, Kim HS, Jahng GH, Kim SJ, Suh DC. Pseudoprogression in patients with glioblastoma: added value of arterial spin labeling to dynamic susceptibility contrast perfusion MR imaging. Acta Radiologica 2013; 54(4):448-54.

Da Cruz LH, Rodriguez I, Domingues RC, Gasparetto EL, Sorensen AG. Pseudoprogression and pseudoresponse: imaging challenges in the assessment of posttreatment glioma. American Journal of Neuroradiology 2011; 32(11):1978-85.

Gao SH, Tsang IWH, Chia LT. Kernel Sparse Representation for Image Classification and Face Recognition. Lecture Notes in Computer Science 2010; 63(14):1-14.

Glaudemans AW, Enting RH, Heesters MA, Dierckx RA, van Rheenen RW, Walenkamp AM, Slart RH. Value of 11C-methionine PET in imaging brain tumours and metastases. European Journal of Nuclear Medicine and Molecular İmaging 2013; 40(4):615-35.

Gunjur A, Lau E, Taouk Y, Ryan G. Early post‐treatment pseudo‐progression amongst glioblastoma multiforme patients treated with radiotherapy and temozolomide: A retrospective analysis. Journal of Medical İmaging and Radiation Oncology 2011; 55(6):603-10.

Jeon HJ, Kong DS, Park KB, Lee JI, Park K, Kim JH, Kim ST, Lim DH, Kim WS, Nam DH. Clinical outcome of concomitant chemoradiotherapy followed by adjuvant temozolomide therapy for glioblastaomas: single-center experience. Clinical Neurology and Neurosurgery 2009;111(8):679-82.

Knudsen‐Baas KM, Moen G, Fluge Ø, Storstein A. Pseudoprogression in high‐grade glioma. Acta Neurologica Scandinavica 2013; 127(s196): 31-37.

Luo H, Puthusserypady S. A sparse Bayesian method for determination of flexible design matrix for fMRI data analysis. IEEE Transactions on Circuits and Systems I: Regular Papers 2005; 52(12):2699-2706.

Macdonald DR, Cascino TL, Schold Jr SC, Cairncross JG. Response criteria for phase II studies of supratentorial malignant glioma. Journal of Clinical Oncology 1990; 8(7): 1277-80.

Sanghera P, Rampling R, Haylock B, Jefferies S, McBain C, Rees JH, Soh C, Whittle IR. The concepts, diagnosis and management of early imaging changes after therapy for glioblastomas. Clinical Oncology 2012; 24(3): 216-27.

Song X, Jiao L. A Multi-Label Learning Algorithm Based on Sparse Representation. Pattern Recognition and Artificial Intelligence 2012; 25(1):124-29.

Stupp R, Mason WP, Van Den Bent MJ, Weller M, Fisher B, Taphoorn MJ, Belanger K, Brandes AA, Marosi C, Bogdahn U, Curschmann J. Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. New England Journal of Medicine 2005; 352(10): 987-96.

Sun Y, Wu M, Wei Z, Xiao L, Feng C. EEG Spike Detection Using Sparse Representation. Acta Electronica Sinica 2009; 37(9):1971-78.

Taal W, Brandsma D, de Bruin HG, Bromberg JE, Swaak-Kragten AT, Sillevis Smitt PAE, van Es CA, van den Bent MJ. Incidence of early pseudoprogression in a cohort of malignant glioma patients treated with chemoirradiation with temozolomide. Cancer 2008; 113(2):405-10.

Wan SY, Wang X, He S, Wang C. Brain tumor segmentation based on morphological multi-scale modification. Journal of Computer Applications 2014; 34(2):593-96.

Wright J, Yang AY, Ganesh A, Sastry SS, Ma Y. Robust face recognition via sparse representation. IEEE Transactions on Pattern Analysis and Machine İntelligence 2009; 31(2):210-27.

Yaman E, Buyukberber S, Benekli M, Oner Y, Coskun U, Akmansu M, Ozturk B, Kaya AO, Uncu D, Yildiz R. Radiation induced early necrosis in patients with malignant gliomas receiving temozolomide. Clinical Neurology and Neurosurgery 2010;112(8):662-67.

Yu X. The Research of Brain Tumor Image Processing Based on Sparse Representation Model. Anhui University 2013; 5:6-11.


Supporting Agencies

This work was supported in part by the Key Research and Development Foundation of Shandong Province (2016GGX101035), the Development Projects of Science and Technology of Jinan (201602151), the Second Hospital of Shandong University Youth Research Fund(S2



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