Geometric distortion in magnetic resonance imaging systems assessed using an open-source plugin for scientific image analysis
作者： Takahiro Aoyama , Hidetoshi Shimizu , Ikuo Shimizu , Atsushi Teramoto , Naoki Kaneda
DOI: 10.1007/S12194-018-0477-Y
关键词:
摘要: Tumor locations are commonly delineated by referring to magnetic resonance (MR) images. However, MR images have geometric distortions that cannot be completely corrected. This study aimed investigate quantitatively uncorrectable error [residual (RE)] with the use of an open-source plugin for scientific image analysis. The RE values were calculated Fiji, which was enhanced Image J processing software. results obtained analysis agreed commercially available Obtaining detailed distortion data each facility and device could facilitate safe treatment because homogeneous field in imaging varies across devices over time. Therefore, using may accurate effective technique evaluating systems.
springer.com
sci-hub.se 参考文章(15)
Elisa Carrasco, María I. Calvo, Jesús Espada, DNA Labeling In Vivo: Quantification of Epidermal Stem Cell Chromatin Content in Whole Mouse Hair Follicles Using Fiji Image Processing Software Methods of Molecular Biology. ,vol. 1094, pp. 79- 88 ,(2014) , 10.1007/978-1-62703-706-8_7
Deming Wang, Wendy Strugnell, Gary Cowin, David M. Doddrell, Richard Slaughter, Geometric distortion in clinical MRI systems Part II: correction using a 3D phantom. Magnetic Resonance Imaging. ,vol. 22, pp. 1211- 1221 ,(2004) , 10.1016/J.MRI.2004.08.012
JasonK Rockhill, LiaM Halasz, Stereotactic radiosurgery and stereotactic radiotherapy for brain metastases. Surgical Neurology International. ,vol. 4, pp. 185- ,(2013) , 10.4103/2152-7806.111295
Amy Walker, Gary Liney, Peter Metcalfe, Lois Holloway, MRI distortion: considerations for MRI based radiotherapy treatment planning Australasian Physical & Engineering Sciences in Medicine. ,vol. 37, pp. 103- 113 ,(2014) , 10.1007/S13246-014-0252-2
Hyo-Sung Kwak, Seungbae Hwang, Gyung-Ho Chung, Ji-Soo Song, Eun-Jung Choi, Detection of small brain metastases at 3 T: comparing the diagnostic performances of contrast-enhanced T1-weighted SPACE, MPRAGE, and 2D FLASH imaging. Clinical Imaging. ,vol. 39, pp. 571- 575 ,(2015) , 10.1016/J.CLINIMAG.2015.02.010
Lesley N. Baldwin, Keith Wachowicz, Steven D. Thomas, Ryan Rivest, B. Gino Fallone, Characterization, prediction, and correction of geometric distortion in 3 T MR images Medical Physics. ,vol. 34, pp. 388- 399 ,(2007) , 10.1118/1.2402331
Jidi Sun, Jason Dowling, Peter Pichler, Fred Menk, David Rivest-Henault, Jonathan Lambert, Joel Parker, Jameen Arm, Leah Best, Jarad Martin, James W Denham, Peter B Greer, MRI simulation: end-to-end testing for prostate radiation therapy using geometric pelvic MRI phantoms Physics in Medicine and Biology. ,vol. 60, pp. 3097- 3109 ,(2015) , 10.1088/0031-9155/60/8/3097
Tatjana Seute, Pieter Leffers, Guul P.M. ten Velde, Albert Twijnstra, Detection of brain metastases from small cell lung cancer: consequences of changing imaging techniques (CT versus MRI). Cancer. ,vol. 112, pp. 1827- 1834 ,(2008) , 10.1002/CNCR.23361
Edmond A. Knopp, Stephan G. Wetzel, Vivian S. Lee, Glyn Johnson, Soonmee Cha, Andrew G. S. Tan, David Thomasson, Neil M. Rofsky, Three-Dimensional, T1-Weighted Gradient-Echo Imaging of the Brain with a Volumetric Interpolated Examination American Journal of Neuroradiology. ,vol. 23, pp. 995- 1002 ,(2002)
Yoichi Watanabe, Chung K. Lee, Bruce J. Gerbi, Geometrical accuracy of a 3-tesla magnetic resonance imaging unit in Gamma Knife surgery. Journal of Neurosurgery. ,vol. 105, pp. 190- 193 ,(2006) , 10.3171/SUP.2006.105.7.190