Comparison of Manual and Automatic Section Positioning of Brain MR Images

Benner, Thomas; Wisco, Jonathan J.; Kouwe, André van der; Fischl, Bruce; Vangel, Mark; Hochberg, Fred H.; Sorensen, A. Gregory

doi:10.1148/radiol.2391050221

Cited by 47 publications

(43 citation statements)

References 23 publications

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“…To our knowledge, MRI with automatic section prescription and scanning has up to now not been evaluated in the same patients pre-and postoperatively, while follow-up MR examinations of glioma patients represent one of the most common routine clinical applications. Compared with manual section prescription, the variation of section planning using automatic planscan alignment in our study population was similar to or smaller than the values that are reported in the literature (2,4).…”

Section: Discussionsupporting

confidence: 86%

“…holds true for determining the reduction of examination and processing times using ASP; although we could not compare the time frames of manual and automatic scanning directly (except by doubling all of the sequences which is impracticable when examining patients), manual planning of all sequences of a given protocol will take longer in almost all cases than the acquisition of the ASP localizer dataset and subsequent automatic propagation of the ASP planscans, especially when precise alignment is required or if the patient is in an unusual position (2). A quantitative assessment of the variance between ASP planscans and an additional postacquisition registration of the pre-and postoperative images has not been performed, see, for example, Cachier et al (16).…”

Section: Discussionmentioning

confidence: 99%

“…However, in patients with intracranial mass lesions shape deviations occur that may affect the efficacy of automatic planning (2).…”

mentioning

confidence: 99%

“…It is already known that automatic section planning exhibits less variation than manual MRI planning (2). Most MR imagers do not allow manual rotational corrections in the acquisition plane (as it is possible for ASP), hence, for example, midline errors cannot be corrected by the MR technician in several cases.…”

mentioning

confidence: 99%

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Pre‐ and postoperative MR brain imaging with automatic planning and scanning software in tumor patients: An intraindividual comparative study at 3 Tesla

Nelles¹,

Gieseke²,

Urbach³

et al. 2009

Magnetic Resonance Imaging

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Purpose:To evaluate the feasibility of automatic planning and scanning of brain MR imaging (MRI) protocols on a clinical 3 Tesla system in tumor patients before and after neurosurgical intervention. Materials and Methods:Twenty-nine patients with intraaxial lesions were examined with automated planscan software pre-and postoperatively. MR section geometries were determined using intensity-based three-dimensional registration and an extraction of landmarks. The technique involved an active shape model to match the boundaries of anatomical structures and typical shape variations. Insufficient geometries were corrected manually by a trained operator. Results:In 29/29 of the preoperative and 47/58 MRI sessions in total, no manual interaction was necessary. Predominantly minor corrections were necessary in 11/29 postoperative sessions, with critical corrections (Ն 3-mm offcenter change or Ն 5°in alignment of the stacks) in 3/58 sessions. Mean offcenter correction was 1.41 mm (range, 0 -7.33 mm), mean angle change toward the midline or commissural line was 1.43°(range, 0 -8.05°). Conclusion:Automatic planning and scanning before and after brain surgery yields robust results in most of the patients with substantial shape deviations. The dimensions of necessary geometry corrections are predominantly small. These results are promising to minimize interscan variability in longitudinal studies.

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Section: Discussionsupporting

confidence: 86%

Section: Discussionmentioning

confidence: 99%

“…However, in patients with intracranial mass lesions shape deviations occur that may affect the efficacy of automatic planning (2).…”

mentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Pre‐ and postoperative MR brain imaging with automatic planning and scanning software in tumor patients: An intraindividual comparative study at 3 Tesla

Nelles¹,

Gieseke²,

Urbach³

et al. 2009

Magnetic Resonance Imaging

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“…All scans were 3D sagittal acquisitions with 128 contiguous slices (imaging matrix = 256x192, in-plane resolution = 1mm, and slice thickness = 1.33mm). In each Siemens scan session, the acquisitions were automatically aligned to a standardized anatomical atlas to ensure consistent slice prescription across scans (van der Kouwe et al, 2005;Benner et al, 2006).…”

Section: Mri Data Acquisitionmentioning

confidence: 99%

Detection of cortical thickness correlates of cognitive performance: Reliability across MRI scan sessions, scanners, and field strengths

et al. 2008

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In normal humans, relationships between cognitive test performance and cortical structure have received little study, in part, because of the paucity of tools for measuring cortical structure. Computational morphometric methods have recently been developed that enable the measurement of cortical thickness from MRI data, but little data exist on their reliability. We undertook this study to evaluate the reliability of an automated cortical thickness measurement method to detect correlates of interest between thickness and cognitive task performance. Fifteen healthy older participants were scanned four times at two-week intervals on three different scanner platforms. The four MRI datasets were initially treated independently to investigate the reliability of the spatial localization of findings from exploratory whole-cortex analyses of cortical thickness-cognitive performance correlates. Next, the first dataset was used to define cortical ROIs based on the exploratory results that were then applied to the remaining three datasets to determine whether the relationships between cognitive performance and regional cortical thickness were comparable across different scanner platforms and Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. NIH Public Access Author ManuscriptNeuroimage. Author manuscript; available in PMC 2009 January 1. Published in final edited form as:Neuroimage. 2008 January 1; 39(1): 10-18. NIH-PA Author ManuscriptNIH-PA Author Manuscript NIH-PA Author Manuscript field strengths. Verbal memory performance was associated with medial temporal cortical thickness, while visuomotor speed/set-shifting was associated with lateral parietal cortical thickness. These effects were highly reliable-in terms of both spatial localization and magnitude of absolute cortical thickness measurements-across the four scan sessions. Brain-behavior relationships between regional cortical thickness and cognitive task performance can be reliably identified using an automated data analysis system, suggesting that these measures may be useful as imaging biomarkers of disease or performance ability in multi-center studies in which MRI data are pooled.

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Structural Differences in Adult Orbital and Ventromedial Prefrontal Cortex Predicted by Infant Temperament at 4 Months of Age

Schwartz

Kunwar²,

Greve³

et al. 2010

Arch Gen Psychiatry

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Context The term temperament refers to a biologically based predilection for a distinctive pattern of emotions, cognitions, and behaviours first observed in infancy or early childhood. High reactive infants are characterized at 4 months by vigorous motor activity and crying in response to unfamiliar visual, auditory, and olfactory stimuli, whereas low reactive infants show low motor activity and low vocal distress to the same stimuli. High reactive infants are biased to become behaviorally inhibited in the second year of life, defined by timidity with unfamiliar people, objects and situations. In contrast, low reactive infants are biased to develop into uninhibited children who spontaneously approach novel situations. Objective To examine whether differences in the structure of ventromedial or orbitofrontal cerebral cortex at age 18 years are associated with high or low reactivity at 4 months of age. Design Structural MRI in a cohort of 18-year olds enrolled in a longitudinal study. Temperament was determined at 4 months of age by direct observation in the laboratory. Setting Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital Participants 76 subjects who were high reactive or low reactive infants at 4 months of age. Main Outcome Measures Cortical thickness Results Adults with a low reactive infant temperament, compared with those categorized as high reactive, showed greater thickness in left orbitofrontal cortex. Subjects categorized as high reactive in infancy, compared with those previously categorized as low reactive, showed greater thickness in right ventromedial prefrontal cortex. This is the first demonstration that temperamental differences measured at 4 months of age have implications for the architecture of human cerebral cortex lasting into adulthood. Understanding the developmental mechanisms that shape these differences may offer new ways to understand mood and anxiety disorders as well as the formation of adult personality.

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Comparison of Manual and Automatic Section Positioning of Brain MR Images

Cited by 47 publications

References 23 publications

Pre‐ and postoperative MR brain imaging with automatic planning and scanning software in tumor patients: An intraindividual comparative study at 3 Tesla

Pre‐ and postoperative MR brain imaging with automatic planning and scanning software in tumor patients: An intraindividual comparative study at 3 Tesla

Detection of cortical thickness correlates of cognitive performance: Reliability across MRI scan sessions, scanners, and field strengths

Structural Differences in Adult Orbital and Ventromedial Prefrontal Cortex Predicted by Infant Temperament at 4 Months of Age

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