Transformation of Computed Tomography and Magnetic Resonance Images

1994 ◽  
Vol 63 (1-4) ◽  
pp. 172-176 ◽  
Author(s):  
E. Ružický ◽  
M. Šramka ◽  
V. Jankovič
2019 ◽  
Vol 47 (3) ◽  
pp. 1210-1220 ◽  
Author(s):  
Pujun Guan ◽  
Zihang Chen ◽  
Lei Chu ◽  
Li Zhen ◽  
Li Zhang ◽  
...  

Objectives Extranodal NK/T-cell lymphoma is reportedly a rare but emerging type of lymphoma in adolescents. The present study was performed to specify its imaging characteristics. Methods Our hospital’s picture archiving and communication systems were searched from January 2009 to December 2016. We identified 13 patients aged <18 years with pathologically confirmed extranodal NK/T-cell lymphoma in the head and neck region. The computed tomography and magnetic resonance images were reviewed to summarize the imaging characteristics of extranodal NK/T-cell lymphoma in adolescents. Results The mean age at onset was 15.2 ± 1.46 years (range, 12–17 years) with a male:female ratio of 1.17:1.00. Most of the patients (n = 10) displayed nasal cavity and/or paranasal involvement. The tumor was homogeneous in both computed tomography and magnetic resonance images and showed slight enhancement. No calcification or liquefactive necrosis was observed. Adjacent structures were usually involved. Conclusion Suggestive imaging characteristics could acquaint specialists with extranodal NK/T-cell lymphoma in adolescents, facilitating improved early recognition of the diagnosis and helping to improve the patient’s outcome.


1997 ◽  
Vol 2 (6) ◽  
pp. 333-339 ◽  
Author(s):  
Manuel Desco ◽  
Jesus López ◽  
Felipe A. Calvo ◽  
Andrés Santos ◽  
Juan A. Santos ◽  
...  

2011 ◽  
Vol 21 (4) ◽  
pp. 465-467 ◽  
Author(s):  
Funda Öztunç ◽  
Bülent Koca ◽  
İbrahim Adaletli

AbstractGeneralised lymphangiomatosis is a rare disease that is characterized by widespread bony and soft tissue involvement of lymphangioma. Radiological evaluation is crucial because the site and extent of the lymphangioma are important prognostic factors. The computed tomography, ultrasonography and magnetic resonance images showed sharply defined, non-enhanced cystic lesions involving the mediastinum, bones, spleen, lung, and lower neck. We report here a case that was referred to us for investigation of marked cardiomegaly.


2014 ◽  
Vol 10 (4) ◽  
pp. 506-513 ◽  
Author(s):  
Lennart Henning Stieglitz ◽  
Christian Ayer ◽  
Kaspar Schindler ◽  
Markus Florian Oertel ◽  
Roland Wiest ◽  
...  

Abstract BACKGROUND: Accurate projection of implanted subdural electrode contacts in presurgical evaluation of pharmacoresistant epilepsy cases by invasive electroencephalography is highly relevant. Linear fusion of computed tomography and magnetic resonance images may display the contacts in the wrong position as a result of brain shift effects. OBJECTIVE: A retrospective study in 5 patients with pharmacoresistant epilepsy was performed to evaluate whether an elastic image fusion algorithm can provide a more accurate projection of the electrode contacts on the preimplantation magnetic resonance images compared with linear fusion. METHODS: An automated elastic image fusion algorithm (AEF), a guided elastic image fusion algorithm (GEF), and a standard linear fusion algorithm were used on preoperative magnetic resonance images and postimplantation computed tomography scans. Vertical correction of virtual contact positions, total virtual contact shift, corrections of midline shift, and brain shifts caused by pneumocephalus were measured. RESULTS: Both AEF and GEF worked well with all 5 cases. An average midline shift of 1.7 mm (SD, 1.25 mm) was corrected to 0.4 mm (SD, 0.8 mm) after AEF and to 0.0 mm (SD, 0 mm) after GEF. Median virtual distances between contacts and cortical surface were corrected by a significant amount, from 2.3 mm after linear fusion algorithm to 0.0 mm after AEF and GEF (P &lt; .001). Mean total relative corrections of 3.1 mm (SD, 1.85 mm) after AEF and 3.0 mm (SD, 1.77 mm) after GEF were achieved. The tested version of GEF did not achieve a satisfying virtual correction of pneumocephalus. CONCLUSION: The technique provided a clear improvement in fusion of preimplantation and postimplantation scans, although the accuracy is difficult to evaluate.


2020 ◽  
pp. 197140092097283
Author(s):  
Kerem Ozturk ◽  
Anthony Spano ◽  
David Nascene

Background and purpose There are great variations in how different technologists create the different imaging planes that can make a precise comparison of computed tomography and magnetic resonance imaging difficult. We aimed to identify a reference line for the coronal images on a computed tomography topography parallel to the posterior borderline of the brainstem (PB), matching standard coronal magnetic resonance imaging planes. Methods We retrospectively reviewed computed tomography topography images of 80 consecutive patients to determine a computed tomography plane to match the PB on magnetic resonance imaging. These included the tuberculum sella (TS)–anterior arch of the C1 vertebra (C1), TS–tip of dens axis (D), dorsum sellae (DS)–C1 and DS–D. We compared these methods of prescribing the coronal computed tomography plane to coronal magnetic resonance imaging planes by measuring the angles between TS–C1 and PB, TS–M and PB, DS–C1 and PB, DS–D and PB on midsagittal brain magnetic resonance images. Bland–Altman plots were created to assess intra-observer reliability. Results The angles between the PB line and each topogram-determined line are as follows: TS–C1, 10.40° ± 4.86°; TS–D, 22.46° ± 5.23°; DS–C1, 3.01° ± 3.16°; and DS–D, 11.53° ± 4.10°. The mean angles between the DS–C1 and the PB lines were significantly smaller than the mean angle between any other line (DS–D, TS–C1, or TS–D, all P < 0.001). Intra-observer agreement regarding the angular position of the reformatted coronal images on the lateral scout image was excellent (intraclass correlation coefficient >0.900, P < 0.05). Conclusions The DS–C1 is almost parallel to the PB and easily identifiable on the lateral scout topography of brain computed tomography. Utilising the DS–C1 line as the baseline for brain computed tomography could allow better corroboration with coronal magnetic resonance imaging angulation.


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