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Relevant bibliographies by topics / Schizophrenia Magnetic resonance imaging

Academic literature on the topic 'Schizophrenia Magnetic resonance imaging'

Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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Journal articles on the topic "Schizophrenia Magnetic resonance imaging"

1

Yurgelun-Todd, D. A., A. R. Sherwood, D. Kinney, and P. F. Renshaw. "Magnetic resonance imaging in schizophrenia." Biological Psychiatry 39, no. 7 (April 1996): 559. http://dx.doi.org/10.1016/0006-3223(96)84151-5.

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Pandurangi, AnandK, AnthonyL Pelonero, JayM Otero, and Lyn Nadel. "Magnetic resonance imaging in schizophrenia." Schizophrenia Research 2, no. 1-2 (January 1989): 127. http://dx.doi.org/10.1016/0920-9964(89)90163-1.

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Gur, Raquel E. "Magnetic Resonance Imaging in Schizophrenia." Archives of General Psychiatry 48, no. 5 (May 1, 1991): 407. http://dx.doi.org/10.1001/archpsyc.1991.01810290019002.

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Elfaki, Amani Abdelrazag, Abdelrazag Elfaki, Tahir Osman, Bunyamin Sahin, Abdelgani Elsheikh, Amira Mohamed, Anas Hamdoun, and Abdelrahman Mohammed. "STEREOLOGICAL EVALUATION OF BRAIN MAGNETIC RESONANCE IMAGES OF SCHIZOPHRENIC PATIENTS." Image Analysis & Stereology 32, no. 3 (November 12, 2013): 145. http://dx.doi.org/10.5566/ias.v32.p145-153.

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Advances in neuroimaging have enabled studies of specific neuroanatomical abnormalities with relevance to schizophrenia. This study quantified structural alterations on brain magnetic resonance (MR) images of patients with schizophrenia. MR brain imaging was done on 88 control and 57 schizophrenic subjects and Dicom images were analyzed with ImageJ software. The brain volume was estimated with the planimetric stereological technique. The volume fraction of brain structures was also estimated. The results showed that, the mean volume of right, left, and total hemispheres in controls were 551, 550, and 1101 cm³, respectively. The mean volumes of right, left, and total hemispheres in schizophrenics were 513, 512, and 1026 cm³, respectively. The schizophrenics’ brains were smaller than the controls (p < 0.05). The mean volume of total white matter of controls (516 cm³) was bigger than the schizophrenics’ volume (451 cm³), (p < 0.05). The volume fraction of total white matter was also lower in schizophrenics (p < 0.05). Volume fraction of the lateral ventricles was higher in schizophrenics (p < 0.05). According to the findings, the volumes of schizophrenics’ brain were smaller than the controls and the volume fractional changes in schizophrenics showed sex dependent differences. We conclude that stereological analysis of MR brain images is useful for quantifying schizophrenia related structural changes.

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Woodruff, P. W. R., G. D. Pearlson, M. J. Geer, P. E. Barta, and H. D. Chilcoat. "A computerized magnetic resonance imaging study of corpus callosum morphology in schizophrenia." Psychological Medicine 23, no. 1 (February 1993): 45–56. http://dx.doi.org/10.1017/s0033291700038836.

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SynopsisThe hypothesis tested was that, in schizophrenia, corpus callosum size would be reduced, particularly in the region responsible for communication between both temporal lobes. This is supported by knowledge of: (a) anatomical homotopicity and functional specialization of fibres within the corpus callosum; (b) evidence linking structural and functional deficits of the corpus callosum and left temporal lobe with schizophrenia; and (c) that temporal lobe neuronal fibres pass through the middle region of the corpus callosum. Brain area and corpus callosum areas, widths and length were measured on mid-sagittal MRI scans using a computer outlining method. Scans from 30 schizophrenics and 44 normal subjects were compared. Mid-sagittal brain area, corpus callosum area, length and anterior widths were reduced in the schizophrenic group compared with controls. A significant area difference between schizophrenics and controls was seen in the mid-corpus callosum which communicates between the temporal lobes, including the superior temporal gyri. In schizophrenics, corpus callosum area reduction was not accounted for by brain area shrinkage alone. Differences between the two groups were accounted for by comparisons between males only. These findings support the hypothesis and the possibility that localized abnormalities of bilaterally connected brain regions might have secondary effects on their homotopically distributed fibres within the corpus callosum.

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Young, A. H., D. H. R. Blackwood, H. Roxborough, J. K. McQueen, M. J. Martin, and D. Kean. "A Magnetic Resonance Imaging Study of Schizophrenia: Brain Structure and Clinical Symptoms." British Journal of Psychiatry 158, no. 2 (February 1991): 158–64. http://dx.doi.org/10.1192/bjp.158.2.158.

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Thirty-one patients with schizophrenia and 33 normal control subjects underwent MRI. The BPRS was used to rate clinical symptoms and the NART to estimate premorbid IQ. All were right handed. The temporal lobe was significantly smaller on the left than the right in both the control and schizophrenic groups. The amygdala was smaller on the left than the right in controls but not in schizophrenics. The parahippocampal gyrus was smaller on the left side in the schizophrenic group but not in controls. In the schizophrenic group, ventricular enlargement and cerebral atrophy were significantly related to severity of symptoms. Patients with marked negative symptoms had a bilateral reduction in the size of the head of caudate and the two measures were significantly correlated. Patients with marked positive symptoms had larger VBRs and again the clinical and morphometric changes were significantly correlated. There were no morphometric differences between patients with short duration (two years or less) and chronic symptoms.

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Besson, J. A. O., F. M. Corrigan, G. R. Cherryman, and F. W. Smith. "Nuclear Magnetic Resonance Brain Imaging in Chronic Schizophrenia." British Journal of Psychiatry 150, no. 2 (February 1987): 161–63. http://dx.doi.org/10.1192/bjp.150.2.161.

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Patients with chronic schizophrenia were examined by nuclear magnetic resonance imaging of the brain. Subgroups of the syndrome with high positive or high negative symptom scores and ventricular dilatation were compared with each other and with normal controls in respect of regional spin lattice relaxation time (T1) changes. Significant differences were not observed between the schizophrenic subgroups and controls but there were significant differences between the subgroups themselves. The presence of tardive dyskinesia was associated with increased T1 of the basal ganglia. The significance of these results is discussed in relation to findings using other techniques.

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Young, Trevor, and Peter Williamson. "Brain Imaging in Functional Mental Disorders." Canadian Journal of Psychiatry 31, no. 7 (October 1986): 675–80. http://dx.doi.org/10.1177/070674378603100716.

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The application of brain imaging techniques to psychiatry is reviewed with respect to computerized tomography (CT), EEG topography, positron emission tomography (PET), and magnetic resonance imaging (MRI). While early computerized tomography studies have suggested structural abnormalities in schizophrenia, more recent studies have shown that most schizophrenics and patients with other disorders have normal CT scans. EEG topography and positron emission tomography have not been evaluated as fully as computerized tomography. However, preliminary studies indicate some functional abnormalities in schizophrenia and affective disorders compared to normal controls. Magnetic resonance imaging shows promise but has had only a limited application to date in psychiatry.

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Buckley, P. F., J. S. Lewin, L. Friedman, D. Wu, D. A. Miller, L. A. Thompson, S. K. Klein, et al. "Functional magnetic resonance imaging and schizophrenia." Biological Psychiatry 39, no. 7 (April 1996): 638. http://dx.doi.org/10.1016/0006-3223(96)84410-6.

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Sauer, Heinrich, and Hans-Peter Volz. "Functional magnetic resonance imaging and magnetic resonance spectroscopy in schizophrenia." Current Opinion in Psychiatry 13, no. 1 (January 2000): 21–26. http://dx.doi.org/10.1097/00001504-200001000-00005.

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Dissertations / Theses on the topic "Schizophrenia Magnetic resonance imaging"

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Harvey, Ian. "Magnetic resonance imaging in schizophrenia." Thesis, University of Edinburgh, 1991. http://hdl.handle.net/1842/19829.

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Howard, Robert John Michael Webster. "Magnetic resonance imaging of the brain in late paraphrenia." Thesis, Queen Mary, University of London, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243821.

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Alexander-Bloch, Aaron Felix. "Brain networks in magnetic resonance imaging studies of typical development and childhood-onset schizophrenia." Thesis, University of Cambridge, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.608247.

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Collinson, Simon Lowes. "Studies of cerebral laterality in early onset schizophrenia." Thesis, University of Oxford, 2001. http://ora.ox.ac.uk/objects/uuid:c1e832af-5a0b-4f72-89af-9f4a295246a2.

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Accumulating evidence suggests that schizophrenia is associated with altered cerebral laterality secondary to a deviation from normal brain development. A number of findings suggest that age of onset of psychosis and gender may have a significant bearing on the nature and extent of the deviation. In order to examine this, early onset patients (12-19 years of age) were compared to healthy controls and later onset patients in a series of studies using standard neuropsychological techniques, experimental divided visual field (DVF) measures and magnetic resonance imaging (MRI). Specific attention was directed to examining the influence of sex and age of onset on hemispheric specialisation. In the neuropsychological studies, early onset patients (n=35) demonstrated significant impairment of intellectual functioning relative to normal adolescents (n=35) but no significant VIQ-PIQ discrepancy. Earlier age of onset was significantly correlated with reduced VIQ and FSIQ. Early onset patients showed significant reduction in hand skill, increased incidence of non-right eye preference and crossed hand-eye dominance. In addition, patients demonstrated reduced right ear advantage (REA) in dichotic listening and inability to modulate ear advantage by directing attention. In the DVF experiments, early onset patients (n=20) demonstrated normal lateralisation in phonological word recognition but sexually dimorphic anomalies in lexico-semantic processing relative to normal controls (n=20). Males showed impairment in imageable word recognition whereas females were more impaired in emotional word recognition. In both cases, the observed anomalies implicated a disturbance in the semantic network subserved by left hemisphere ventromedial and superior temporal heteromodal cortex. In MRI investigations, early onset patients (n=33) had smaller cerebral hemispheres and larger lateral ventricles than controls (n=32). Male patients showed reduction of leftward asymmetry in temporal lobe volume and female patients showed reversal of rightward asymmetry. Significant correlations were found between left ventricular brain ratio and reaction time to phonological word processing. Together, the combined results indicate that early onset schizophrenia is associated with a significant but selective alteration of cerebral laterality, that age of onset is likely to be a determinant of this alteration and that, to some extent, these changes are mediated by gender. The results are discussed within the context of neurodevelopmental aetiology.

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Currie, James. "Neuroeconomics investigation of decision-making in schizophrenia using functional magnetic resonance imaging." Thesis, University of Aberdeen, 2017. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=235437.

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Leung, Mei-kei, and 梁美琪. "MRI brain abnormality in first episode schizophrenia before and after treatment." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43572303.

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Michael, Andrew M. "Imaging schizophrenia : data fusion approaches to characterize and classify /." Online version of thesis, 2009. http://hdl.handle.net/1850/9673.

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Gradin, Iade Victoria B. "Major depression and schizophrenia : investigation of neural mechanisms using neuroimaging and computational modeling of brain function." Thesis, University of Aberdeen, 2011. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=184011.

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Depression and schizophrenia are common psychiatric disorders that can be disabling and chronic. This thesis aimed to further elucidate the underlying neural substrates using functional magnetic resonance imaging (fMRI) based studies. Hypothesized impairments in reinforcement learning in depression and schizophrenia were investigated, as were the neural correlates of abnormalities of social information processing in schizophrenia. Computational models of reinforcement learning are based on the concept of a 'prediction error' (PE, discrepancy between the expected and actual outcome) signal to update predictions of rewards and improve action selection. It has been argued that the firing of dopamine neurons encode a reward PE signal that mediates the learning of associations and the attribution of motivational salience to reward-related stimuli. Using model-based fMRI, the encoding of neural PE signals in patients with depression and schizophrenia were investigated. Consistent with hypotheses, patients exhibited different abnormalities in neural PE signals, with the degree of abnormality correlating with increased anhedonia/psychotic symptoms in depression/schizophrenia. These findings are consistent with the suggestion that a disruption in the encoding of PE signals contributes to anhedonia symptoms in depression by disrupting learning and the acquisition of salience of rewarding events. In schizophrenia, abnormal PE signals may contribute to psychosis by promoting aberrant perceptions and abnormal associations. In a different study, the neural responses to social exclusion in schizophrenia were investigated. Schizophrenia patients failed to modulate activity in the medial prefrontal cortex with the degree of exclusion, unlike controls. This highlights the neural substrates of putatively impaired social information processing in schizophrenia. Overall, these findings are consistent with proposals that psychiatric syndromes reflect different disorders of neural valuation. This perspective may help bridge the gap between the biological and phenomenological levels of understanding of depression and schizophrenia, hopefully contributing in the long term to the development of more effective treatments.

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Goodby, Emmeline. "Cognitive and magnetic resonance imaging endophenotypes of psychosis measured in first episode patients and their unaffected first degree relatives." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610467.

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Deng, Yi, and 鄧藝. "From neuroimaging to proteomics in schizophrenia." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43278516.

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Books on the topic "Schizophrenia Magnetic resonance imaging"

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Kim, Chae-jin. Kinŭngjŏk noe yŏngsang ŭl iyong han chŏngsin punyŏlbyŏng ŭi chŏngsŏ-inji pokhap changae pyŏngtʻae saengni kyumyŏng =: Investigation of the pathophysiology of complex emotion-cognition dysfunctions in schizophrenia using the functional neuroimaging techniques. [Seoul]: Pogŏn Pokchibu, 2007.

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A, Nasrallah Henry, and Pettegrew Jay W, eds. NMR spectroscopy in psychiatric brain disorders. Washington, DC: American Psychiatric Press, 1995.

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Leon, Partain C., ed. Magnetic resonance imaging. 2nd ed. Philadelphia, Pa: Saunders, 1988.

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Prasad, Pottumarthi V., ed. Magnetic Resonance Imaging. Totowa, NJ: Humana Press, 2006. http://dx.doi.org/10.1385/1597450103.

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Zuurbier, Ria, Johan Nahuis, Sija Geers-van Gemeren, José Dol-Jansen, and Tom Dam, eds. Magnetic Resonance Imaging. Houten: Bohn Stafleu van Loghum, 2017. http://dx.doi.org/10.1007/978-90-368-1934-3.

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Sigal, Robert, D. Doyon, Ph Halimi, and H. Atlan. Magnetic Resonance Imaging. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73037-5.

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Brown, Robert W., Yu-Chung N. Cheng, E. Mark Haacke, Michael R. Thompson, and Ramesh Venkatesan, eds. Magnetic Resonance Imaging. Chichester, UK: John Wiley & Sons Ltd, 2014. http://dx.doi.org/10.1002/9781118633953.

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Vlaardingerbroek, Marinus T., and Jacques A. den Boer. Magnetic Resonance Imaging. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03800-0.

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Vlaardingerbroek, Marinus T., and Jacques A. den Boer. Magnetic Resonance Imaging. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05252-5.

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Vlaardingerbroek, Marinus T., and Jacques A. den Boer. Magnetic Resonance Imaging. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-662-03258-9.

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Book chapters on the topic "Schizophrenia Magnetic resonance imaging"

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Andreasen, N. C., H. A. Nasrallah, J. C. Ehrhardt, W. M. Grove, S. C. Olson, J. A. Coffman, and J. H. W. Crossett. "Magnetic resonance imaging: applications in psychiatry." In Etiopathogenetic Hypotheses of Schizophrenia, 117–22. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3207-4_12.

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Deicken, R. F. "Functional Magnetic Resonance Imaging and Magnetic Resonance Spectroscopy in Schizophrenia." In Search for the Causes of Schizophrenia, 307–22. Heidelberg: Steinkopff, 1999. http://dx.doi.org/10.1007/978-3-642-47076-9_22.

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Tost, Heike, Shabnam Hakimi, and Andreas Meyer-Lindenberg. "Magnetic Resonance Imaging Biomarkers in Schizophrenia Research." In The Handbook of Neuropsychiatric Biomarkers, Endophenotypes and Genes, 123–44. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-1-4020-9831-4_6.

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Rossi, A., P. Stratta, M. Casacchia, M. Gallucci, and R. Passariello. "Nuclear magnetic resonance imaging in schizophrenia: a preliminary study." In Etiopathogenetic Hypotheses of Schizophrenia, 141–46. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3207-4_15.

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Frangou, Sophia, and René S. Kahn. "Gray Matter Involvement in Schizophrenia: Evidence from Magnetic Resonance Imaging Studies." In Neuroimaging in Schizophrenia, 27–53. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35206-6_2.

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Anderson, A. W., X. Hong, L. R. Arlinghaus, M. Tumuklu, Thornton-Wells, R. E. Hoffman, S. Park, and H. Y. Meltzer. "Magnetic Resonance Imaging of Schizophrenia and Alzheimer’s Disease." In IFMBE Proceedings, 23–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12020-6_6.

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Rossi, A., P. Stratta, V. Di Michele, M. Gallucci, A. Splendiani, R. Passariello, and M. Casacchia. "Brain morphology in schizophrenia by magnetic resonance imaging." In Plasticity and Morphology of the Central Nervous System, 13–19. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0851-2_2.

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Nasrallah, H. A. "Magnetic Resonance Imaging of the Brain: Clinical and Research Applications in Schizophrenia." In Search for the Causes of Schizophrenia, 257–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-74881-3_20.

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Clari, Rosarito, Robert K. McNamara, and Philip R. Szeszko. "Omega-3 Polyunsaturated Fatty Acids and Antioxidants for the Treatment of Schizophrenia: A Role for Magnetic Resonance Imaging." In Neuroimaging in Schizophrenia, 367–83. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35206-6_19.

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Colombo, C., G. Calabrese, S. Livian, G. Scotti, and S. Scarone. "Normal Size of Temporal Areas in a Group of Schizophrenic Patients: A Magnetic Resonance Imaging Study." In Imaging of the Brain in Psychiatry and Related Fields, 37–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77087-6_5.

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Conference papers on the topic "Schizophrenia Magnetic resonance imaging"

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VITA, ANTONIO, MASSIMILIANO DIECI, GIAN MARCO GIOBBIO, MARGHERITA COMAZZI, ALBERTO CAPUTO, and GIORDANO INVERNlZZI. "MAGNETIC RESONANCE IMAGING FINDINGS IN SCHIZOPHRENIA: RELATIONSHIPS WITH LANGUAGE AND THOUGHT DISORDERS, SYMPTOMATOLOGY AND COGNITIVE PERFORMANCE." In IX World Congress of Psychiatry. WORLD SCIENTIFIC, 1994. http://dx.doi.org/10.1142/9789814440912_0059.

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Fullerton, Ph.D., Gary D. "Imaging with magnetic resonance." In The fourth mexican symposium on medical physics. AIP, 2000. http://dx.doi.org/10.1063/1.1328942.

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Hengerer, A. "Molecular Magnetic Resonance Imaging." In 2nd International University of Malaya Research Imaging Symposium (UMRIS) 2005: Fundamentals of Molecular Imaging. Kuala Lumpur, Malaysia: Department of Biomedical Imaging, University of Malaya, 2005. http://dx.doi.org/10.2349/biij.1.1.e7-53.

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Bajo, A., M. J. Ledesma-Carbayo, C. Santa Marta, E. Perez David, M. A. Garcia-Fernandez, M. Desco, and A. Santos. "Cardiac motion analysis from magnetic resonance imaging: Cine magnetic resonance versus tagged magnetic resonance." In 2007 34th Annual Computers in Cardiology Conference. IEEE, 2007. http://dx.doi.org/10.1109/cic.2007.4745426.

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Soumekh, Mehrdad. "Spatiotemporal spiral magnetic resonance imaging." In Medical Imaging '99, edited by John M. Boone and James T. Dobbins III. SPIE, 1999. http://dx.doi.org/10.1117/12.349564.

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Carlson, Joseph W., Larry E. Crooks, M. Arakawa, D. M. Goldhaber, David M. Kramer, and Leon Kaufman. "Switched-field magnetic resonance imaging." In Medical Imaging VI, edited by Rodney Shaw. SPIE, 1992. http://dx.doi.org/10.1117/12.59381.

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Kramer, David M., John Coleman, Leon Kaufman, and Leila D. Mattinger. "Variable-parameter magnetic resonance imaging." In Medical Imaging VI, edited by Rodney Shaw. SPIE, 1992. http://dx.doi.org/10.1117/12.59380.

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Othman, Shadi F., Huihui Xu, Thomas J. Royston, and Richard L. Magin. "Microscopic magnetic resonance elastography (μMRE) applications." In Medical Imaging, edited by Amir A. Amini and Armando Manduca. SPIE, 2005. http://dx.doi.org/10.1117/12.595691.

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Fitzsimmons, Jeffrey R., George R. Duensing, and David M. Peterson. "Magnetic resonance imaging at high magnetic fields." In 26th AIPR Workshop: Exploiting New Image Sources and Sensors, edited by J. Michael Selander. SPIE, 1998. http://dx.doi.org/10.1117/12.300053.

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Mezrich, R. "Advances In Magnetic Resonance Imaging." In Electro International, 1991. IEEE, 1991. http://dx.doi.org/10.1109/electr.1991.718176.

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Reports on the topic "Schizophrenia Magnetic resonance imaging"

1

Russek, Stephen E. Magnetic Resonance Imaging Biomarker Calibration Service:. Gaithersburg, MD: National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.sp.250-100.

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2

Schweizer, M. Developments in boron magnetic resonance imaging (MRI). Office of Scientific and Technical Information (OSTI), November 1995. http://dx.doi.org/10.2172/421332.

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Schmidt, D. M., and M. A. Espy. Low-field magnetic resonance imaging of gases. Office of Scientific and Technical Information (OSTI), November 1998. http://dx.doi.org/10.2172/674672.

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Bronskill, Michael J., Paul L. Carson, Steve Einstein, Michael Koshinen, Margit Lassen, Seong Ki Mun, William Pavlicek, et al. Site Planning for Magnetic Resonance Imaging Systems. AAPM, 1986. http://dx.doi.org/10.37206/19.

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Budakian, Raffi. Nanometer-Scale Force Detected Nuclear Magnetic Resonance Imaging. Fort Belvoir, VA: Defense Technical Information Center, January 2013. http://dx.doi.org/10.21236/ada591583.

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Haslam, Philip. Multiparametric magnetic resonance imaging of the prostate gland. BJUI Knowledge, March 2021. http://dx.doi.org/10.18591/bjuik.0731.

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Schmidt, D. M., J. S. George, S. I. Penttila, and A. Caprihan. Nuclear magnetic resonance imaging with hyper-polarized noble gases. Office of Scientific and Technical Information (OSTI), October 1997. http://dx.doi.org/10.2172/534499.

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Botto, R. E., and G. D. Cody. Magnetic resonance imaging of solvent transport in polymer networks. Office of Scientific and Technical Information (OSTI), February 1995. http://dx.doi.org/10.2172/26588.

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Diegert, C. Innovative computing for diagnoses from medical, magnetic-resonance imaging. Office of Scientific and Technical Information (OSTI), January 1997. http://dx.doi.org/10.2172/477671.

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Ivankov, A. P., and P. V. Selivyerstov. Magnetic resonance imaging for subchondral insufficiency fracture of knee. OFERNIO, February 2022. http://dx.doi.org/10.12731/ofernio.2022.24949.

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