Usability of unbiased nonlocal means for de-noising intraoperative magnetic resonance images in neurosurgery

Author:

Mizukuchi Takashi,Fujii Masazumi,Hayashi Yuichiro,Tsuzaka Masatoshi

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Radiology, Nuclear Medicine and imaging,General Medicine,Surgery,Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering

Reference16 articles.

1. Kubben PL, ter Meulen KJ, Schijns OEMG, ter Laak-Poort MP, van Overbeeke JJ, van Santbrink H (2011) Intraoperative MRI-guided resection of glioblastoma multiforme: a systematic review. Lancet Oncol 12:1062–1070

2. Foroglou N, Zamani A, Black P (2009) Intra-operative MRI (iop-MR) for brain tumor surgery. Br J Neurosurg 23:14–22

3. Knauth M, Wirtz CR, Tronnier VM, Aras N, Kunze S, Sartor K (1999) Intraoperative MR imaging increases the extent of tumor resection in patients with high-grade gliomas. Am J Neuroradiol 20:1642–1646

4. Shinohara C, Muragaki Y, Maruyama T et al (2008) Long-term prognostic assessment of 185 newly diagnosed gliomas–Grade III glioma showed prognosis comparable to that of grade II glioma. Jpn J Clin Oncol 38:730–733

5. Takashi M, Masatoshi M (2013) Evaluation and quality assurance of the image quality of an intraoperative magnetic resonance image. ECR, EPOS. doi: 10.1594/ecr2013/C-1673

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