BMC Medical Imaging (BMC Med Imag)

Publisher: BioMed Central

Journal description

BMC Medical Imaging publishes original research articles in the use, development, and evaluation of imaging techniques to diagnose and manage disease.

Current impact factor: 1.31

Impact Factor Rankings

2015 Impact Factor Available summer 2016
2014 Impact Factor 1.312
2013 Impact Factor 0.983

Additional details

5-year impact 0.00
Cited half-life 4.50
Immediacy index 0.10
Eigenfactor 0.00
Article influence 0.00
Website BMC Medical Imaging website
Other titles BMC medical imaging, BioMed Central medical imaging, Medical imaging
ISSN 1471-2342
OCLC 48748135
Material type Document, Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publisher details

BioMed Central

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
    • Publisher's version/PDF may be used
    • Eligible UK authors may deposit in OpenDepot
    • Creative Commons Attribution License
    • Copy of License must accompany any deposit.
    • All titles are open access journals
    • 'BioMed Central' is an imprint of 'Springer Verlag (Germany)'
  • Classification
    ​ green

Publications in this journal

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    ABSTRACT: Contributing reviewers The editors of BMC Medical Imaging would like to thank all our reviewers who have contributed to the journal in Volume 14 (2014).
    BMC Medical Imaging 12/2015; 15(1). DOI:10.1186/s12880-015-0043-6
  • BMC Medical Imaging 12/2015; 15(1). DOI:10.1186/s12880-015-0084-x
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    ABSTRACT: Positron emission tomography scanners collect measurements of a patient’s in vivo radiotracer distribution. The system detects pairs of gamma rays emitted indirectly by a positron-emitting radionuclide (tracer), which is introduced into the body on a biologically active molecule, and the tomograms must be reconstructed from projections. The reconstruction of tomograms from the acquired PET data is an inverse problem that requires regularization. The use of tightly packed discrete detector rings, although improves signal-to-noise ratio, are often associated with high costs of positron emission tomography systems. Thus a sparse reconstruction, which would be capable of overcoming the noise effect while allowing for a reduced number of detectors, would have a great deal to offer. In this study, we introduce and investigate the potential of a homotopic non-local regularization reconstruction framework for effectively reconstructing positron emission tomograms from such sparse measurements. Results obtained using the proposed approach are compared with traditional filtered back-projection as well as expectation maximization reconstruction with total variation regularization. A new reconstruction method was developed for the purpose of improving the quality of positron emission tomography reconstruction from sparse measurements. We illustrate that promising reconstruction performance can be achieved for the proposed approach even at low sampling fractions, which allows for the use of significantly fewer detectors and have the potential to reduce scanner costs.
    BMC Medical Imaging 12/2015; 15(1). DOI:10.1186/s12880-015-0052-5
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    ABSTRACT: Aortic valve area (AVA) estimation in patients with aortic stenosis may be obtained using several methods. This study was undertaken to verify the cardiovascular magnetic resonance (CMR) planimetry of aortic stenosis by comparing the findings with invasive catheterization, transthoracic (TTE) as well as tranesophageal echocardiography (TEE) and anatomic CMR examination of autopsy specimens. Our study was performed in eight patients with aortic valve stenosis. Aortic stenosis was determined by TTE and TEE as well as catheterization and CMR. Especially, after aortic valve replacement, the explanted aortic valves were examined again with CMR ex vivo model. The mean AVA determined in vivo by CMR was 0.75 ± 0.09 cm(2) and ex vivo by CMR was 0.65 ± 0.09 cm(2) and was closely correlated (r = 0.91, p < 0.001). The mean absolute difference between AVA derived by CMR ex vivo and in vivo was -0.10 ± 0.04 cm(2). The mean AVA using TTE was 0.69 ± 0.07 with a significant correlation between CMR ex vivo (r = 0.85, p < 0.007) and CMR in vivo (r = 0.86, p < 0.008). CMR ex vivo and in vivo had no significant correlation with AVA using Gorlin formula by invasive catheterization or using planimetry by TEE. In this small study using an ex vivo aortic valve stenosis model, the aortic valve area can be reliably planimetered by CMR in vivo and ex vivo with a well correlation between geometric AVA by CMR and the effective AVA calculated by TTE.
    BMC Medical Imaging 12/2015; 15(1). DOI:10.1186/s12880-015-0076-x
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    ABSTRACT: Background Post processing for brain spectra has a great influence on the fit quality of individual spectra, as well as on the reproducibility of results from comparable spectra. This investigation used pairs of spectra, identical in system parameters, position and time assumed to differ only in noise. The metabolite amplitudes of fitted time domain spectroscopic data were tested on reproducibility for the main brain metabolites. Methods Proton spectra of white matter brain tissue were acquired with a short spin echo time of 30 ms and a moderate repetition time of 1500 ms at 1.5 T. The pairs were investigated with one time domain post-processing algorithm using different parameters. The number of metabolites, the use of prior knowledge, base line parameters and common or individual damping were varied to evaluate the best reproducibility. Results The protocols with most reproducible amplitudes for N-acetylaspartate, creatine, choline, myo-inositol and the combined Glx line of glutamate and glutamine in lesion free white matter have the following common features: common damping of the main metabolites, a baseline using only the points of the first 10 ms, no additional lipid/macromolecule lines and Glx is taken as the sum of separately fitted glutamate and glutamine. This parameter set is different to the one delivering the best individual fit results. Discussion All spectra were acquired in “lesion free” (no lesion signs found in MR imaging) white matter. Spectra of brain lesions, for example tumors, can be drastically different. Thus the results are limited to lesion free brain tissue. Nevertheless the application to studies is broad, because small alterations in brain biochemistry of lesion free areas had been detected nearby tumors, in patients with multiple sclerosis, drug abuse or psychiatric disorders. Conclusion Main metabolite amplitudes inside healthy brain can be quantified with a normalized root mean square deviation around 5 % using CH3 of creatine as reference. Only the reproducibility of myo-inositol is roughly twice as bad. The reproducibility should be similar using other references like internal or external water for an absolute concentration evaluation and are not influenced by relaxation corrections with literature values.
    BMC Medical Imaging 12/2015; 15(1). DOI:10.1186/s12880-015-0085-9
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    ABSTRACT: Ossifying metaplasia is an unusual feature of urothelial carcinoma, with only a few cases reported. The largest series included 17 cases and was published in 1991. The mechanism of ossification is unknown and hypotheses of osteogenic precursor cells, inducing bone formation, are proposed. A 75 year-old patient was treated for a high grade transitional cell carcinoma of the bladder by surgery, chemotherapy and radiotherapy. Histology showed foci of bone metaplasia, both at the periphery of the tumor, and in a lymph node metastasis. 1 year later, a heterotopic bone formation was discovered in the right retroperitoneal space, near the lumbar spine, increasing rapidly in size during follow-up. Several imaging exams were performed (2 CT, 1 MRI, 1 Pet-CT), but in the absence of typical features of sarcoma, diagnosis remained unclear. Histology of a CT-guided percutaneous biopsy showed urothelial carcinoma and mature lamellar bone. Integration of these findings with the radiological description of extraosseous localization was consistent with a diagnosis of osseous metaplasia of an urothelial carcinoma metastasis. The absence of bone atypia in both the primary and metastases argues against sarcomatoid urothelial carcinoma with osteosarcomatous differentiation. Osseous metaplasia of an urothelial carcinoma metastasis is unusual, and difficult to distinguish from radiotherapy induced sarcoma, or from sarcomatoid carcinoma. Rapid progression, sheathing of adjacent structures such as vessels (like inferior vena cava in our case) and nerves and bony feature of lymph node metastases necessitate histological confirmation and rapid treatment. Our case illustrates this disease and evaluates the imaging features. In addition we discuss the differential diagnosis of osseous retroperitoneal masses.
    BMC Medical Imaging 12/2015; 15(1):30. DOI:10.1186/s12880-015-0072-1
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    ABSTRACT: Background Pelvic incidence (PI) has been linked to several degenerative processes within the spinopelvic system. Acetabular retroversion is a recognised risk factor for osteoarthritis of the hip. We therefore hypothesised that these two factors might be part of a specific anatomical variant associated with degenerative changes. This study was performed to clarify this issue. Methods The pelvic incidence was measured on 589 computertomographical data sets acquired between 2008 and 2010. For 220 patients a 2D rendering in an antero-posterior view of the CT data set was performed to evaluate the parameters of acetabular retroversion. Those included the prominence of the ischial spine sign (PRISS), the cross-over sign (COS) and the posterior wall sign (PWS). Between 477 and 478 hips were evaluated depending on the parameter of retroversion. Results The mean pelvic incidence was significantly lower in hips positive for the PRISS and the PWS. However, there were no significant differences between hips positive or negative for the COS. Discussion As hypothesised, the lower PI values in PWS and PRISS positive hips suggest a link between PI and retroversion of the acetabulum. Whether this is of any clinical relevance remains, however, unknown. Conclusion Acetabular retroversion is linked to PI. In hips where the prominence of the ischial spine sign and/or the posterior wall sign was present, the mean pelvic incidence value was lower.
    BMC Medical Imaging 09/2015; 15(1). DOI:10.1186/s12880-015-0080-1
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    ABSTRACT: Background: Paragangliomas (PGs) are neuroendocrine tumors derived embryonically from the neural crest cells of the autonomic nervous system. Approximately 3 % of all paragangliomas occur in the head and neck area. Head and neck paragangliomas (HNPGs) are rare and highly vascularized tumors, the majority of which are benign. Multiple HNPGs with hepatic paraganglioma are exceedingly rare. Case presentation: We report a 59-year-old male patient with a 40-year history of an enlarged mass at the right side of the neck and two months of epigastric discomfort. Neck physical examination revealed a 6 × 6 cm, ovoid, firm mass on the right side of the neck. A pre-contrast computed tomography (CT) scan of the head and neck revealed bilateral heterogeneous soft tissue masses at the bifurcation of the carotid artery with indistinct border, the size of which was 2.4 cm × 2.6 cm on the left and 5.4 cm × 4.3 cm on the right. The lesions were intensely and heterogeneously enhanced with the internal and external carotid arteries surrounded and pushed anteriorly after contrast administration. Magnetic resonance imaging (MRI) showed a hyperintense signal on T2 weighted images compared to the surrounding muscle tissue and an intense contrast enhancement on T1 weighted images. Digital subtraction angiography (DSA) exhibited a highly vascularized masses that occupied and deformed both sides of the carotid bifurcation. As for the hepatic mass, non-contrasted CT imaging of the upper abdomen showed a 6.1 cm × 5.5 cm × 5.8 cm low density mass in the liver with indistinct border. On late arterial phase, the mass showed slight enhancement with an enlarged hepatic artery pushed around the lesion. MR imaging of the lesion in the liver demonstrated low signal intensity on T1 weighted images but heterogeneous high signal intensity on T2 weighted images. On diffusion weighted images, the mass showed high signal intensity whereas low signal intensity was seen on the image of apparent diffusion coefficient (ADC). Moreover, the contrast-enhanced MRI showed that the lesion was intensely but heterogeneously enhanced. Conclusion: Multiple HNPGs with hepatic paraganglioma are exceedingly rare. Advanced medical imaging modalities such as ultrasound (US), CT, MR, DSA and (123)I-metaiodobenzylguanidine ((123)I-MIBG) are helpful in the evaluation of the patients with PGs. Increased awareness of their concomitant occurrence and familiarity with their characteristic features are critical for clinicians and radiologists to avoid diagnostic and therapeutic pitfalls and to facilitate the early diagnosis.
    BMC Medical Imaging 09/2015; 15(1):38. DOI:10.1186/s12880-015-0082-z
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    ABSTRACT: Comparison of imaging measurement devices in the absence of a gold-standard comparator remains a vexing problem; especially in scenarios where multiple, non-paired, replicated measurements occur, as in image-guided radiotherapy (IGRT). As the number of commercially available IGRT presents a challenge to determine whether different IGRT methods may be used interchangeably, an unmet need conceptually parsimonious and statistically robust method to evaluate the agreement between two methods with replicated observations. Consequently, we sought to determine, using an previously reported head and neck positional verification dataset, the feasibility and utility of a Comparison of Measurement Methods with the Mixed Effects Procedure Accounting for Replicated Evaluations (COM3PARE), a unified conceptual schema and analytic algorithm based upon Roy's linear mixed effects (LME) model with Kronecker product covariance structure in a doubly multivariate set-up, for IGRT method comparison. An anonymized dataset consisting of 100 paired coordinate (X/ measurements from a sequential series of head and neck cancer patients imaged near-simultaneously with cone beam CT (CBCT) and kilovoltage X-ray (KVX) imaging was used for model implementation. Software-suggested CBCT and KVX shifts for the lateral (X), vertical (Y) and longitudinal (Z) dimensions were evaluated for bias, inter-method (between-subject variation), intra-method (within-subject variation), and overall agreement using with a script implementing COM3PARE with the MIXED procedure of the statistical software package SAS (SAS Institute, Cary, NC, USA). COM3PARE showed statistically significant bias agreement and difference in inter-method between CBCT and KVX was observed in the Z-axis (both p - value<0.01). Intra-method and overall agreement differences were noted as statistically significant for both the X- and Z-axes (all p - value<0.01). Using pre-specified criteria, based on intra-method agreement, CBCT was deemed preferable for X-axis positional verification, with KVX preferred for superoinferior alignment. The COM3PARE methodology was validated as feasible and useful in this pilot head and neck cancer positional verification dataset. COM3PARE represents a flexible and robust standardized analytic methodology for IGRT comparison. The implemented SAS script is included to encourage other groups to implement COM3PARE in other anatomic sites or IGRT platforms.
    BMC Medical Imaging 08/2015; 15(1):35. DOI:10.1186/s12880-015-0074-z
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    ABSTRACT: Background: The objective of this study was to investigate whether three-dimensional (3D) single inversion-recovery prepared steady-state free precession (IR-SSFP) could characterize the coronary artery wall. Methods: IR-SSFP was scanned on a 1.5-T MR scanner with a five element cardiac coil. One hundred and twenty-one subjects with known or suspected coronary artery disease who had undergone X-ray coronary angiography (XCA) underwent coronary artery wall imaging using IR-SSFP sequences. In each coronary segment, the detection of the coronary wall was categorized, and contrast (signal of plaque minus signal of blood in the aorta divided by the signal of plaque plus signal of blood in the aorta) was calculated. Results: 422 of 517 segments (82%) were successfully visualized, and the detection scores tended to be higher at the proximal coronary artery when compared with other segments of the coronary artery. High contrast (contrast≥0.75) areas were observed in 62 of 218 segments with ≥50% coronary artery stenosis by XCA but also in 25 of 299 segments without ≥50% coronary stenosis. Conclusions: IR-SSFP provided good visualization of the coronary wall. This approach represents a promising noninvasive strategy for the assessment of the coronary artery wall.
    BMC Medical Imaging 07/2015; 15(1):26. DOI:10.1186/s12880-015-0071-2