Comparison of manual and computer-assisted measurement of cochlear nerve obtained from magnetic resonance imaging

2017 ◽  
Vol 23 (3) ◽  
pp. 171
Author(s):  
Rajeswaran Rangasami ◽  
S Jeevakala ◽  
ABrintha Therese
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Cochlear Nerve ◽  
Computer Assisted ◽  
Resonance Imaging

Surface-Coil Magnetic Resonance Imaging of the Internal Auditory Canal and the Inner Ear Preliminary Report

1995 ◽  
Vol 104 (10) ◽  
pp. 776-782 ◽  
Author(s):  
Iwao Honjo ◽  
Eri Naito ◽  
Yasushi Natto ◽  
Haruo Takahashi ◽  
Kazumasa Nishimura ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Inner Ear ◽  
Internal Auditory Canal ◽  
Surface Coil ◽  
Cochlear Nerve ◽  
Acquisition Time ◽  
Computer Assisted ◽  
Resonance Imaging ◽  
Eighth Nerve

Parasagittal surface-coil magnetic resonance imaging of the internal auditory canal and the inner ear was performed. We used T2-weighted fast spin-echo sequences to visualize the inner ear and the individual nerves in the internal auditory canal with high contrast in a short acquisition time. Computer-assisted quantitative measurement of the nerves was performed to estimate the cross-sectional areas and the diameters of the nerves. The average diameters of the facial nerve, the cochlear nerve, and the vestibular nerve of normal-hearing individuals were, respectively, 1.1 ± 0.2 mm (mean ± SD), 1.2 ± 0.2 mm, and 1.5 ± 0.2 mm. In the cerebellopontine angle, the average diameter of the eighth nerve was 1.8 ± 0.2 mm. Two patients with unilateral and bilateral hearing loss were also presented. In the patient with unilateral deafness, the cochlear nerve of the diseased side was not identified and the eighth cranial nerve diameter was smaller than that of the normal side. In the patient with bilateral deafness, fibrosis of the inner ear and atrophy of the eighth nerve were demonstrated in the ear with posttraumatic deafness. The present method may represent a new approach to the assessment of pathologic processes involving the inner ear and the nerves in the internal auditory canal.

Cochlear nerve anomalies in paediatric single-sided deafness – prevalence and implications for cochlear implantation strategies

2020 ◽  
pp. 1-4
Author(s):  
K Pollaers ◽  
A Thompson ◽  
J Kuthubutheen
Keyword(s):  
Magnetic Resonance Imaging ◽  
Hearing Loss ◽  
Magnetic Resonance ◽  
Sensorineural Hearing Loss ◽  
Cochlear Nerve ◽  
Sensorineural Hearing ◽  
Resonance Imaging ◽  
Bilateral Sensorineural Hearing Loss ◽  
Single Sided Deafness ◽  
Cochlear Nerve Hypoplasia

Abstract Objective To determine the prevalence of cochlear nerve anomalies on magnetic resonance imaging in patients with unilateral or bilateral sensorineural hearing loss. Methods A retrospective case series was conducted at a tertiary referral centre. The inclusion criteria were paediatric patients with bilateral or unilateral sensorineural hearing loss, investigated with magnetic resonance imaging. The primary outcome measure was the rate of cochlear nerve hypoplasia or aplasia. Results Of the 72 patients with unilateral sensorineural hearing loss, 39 per cent (28 cases) had absent or hypoplastic cochlear nerves on the affected side. Fifteen per cent (11 cases) had other abnormal findings on magnetic resonance imaging. Eighty-four patients had bilateral sensorineural hearing loss, of which cochlear nerve hypoplasia or aplasia was identified only in 5 per cent (four cases). Other abnormal findings were identified in 14 per cent (12 cases). Conclusion Paediatric patients with unilateral sensorineural hearing loss are more likely to have cochlear nerve anomalies than those patients with bilateral sensorineural hearing loss. This has important implications regarding cochlear implantation for patients with single-sided deafness.

Bony cochlear nerve canal and internal auditory canal measures predict cochlear nerve status

2017 ◽  
Vol 131 (8) ◽  
pp. 676-683 ◽  
Author(s):  
E Tahir ◽  
M D Bajin ◽  
G Atay ◽  
B Ö Mocan ◽  
L Sennaroğlu
Keyword(s):  
Magnetic Resonance Imaging ◽  
Computed Tomography ◽  
Magnetic Resonance ◽  
Temporal Bone ◽  
Internal Auditory Canal ◽  
Cochlear Nerve ◽  
Resonance Imaging ◽  
Canal Stenosis ◽  
Canal Diameter ◽  
Canal Atresia

AbstractObjectives:The bony cochlear nerve canal is the space between the fundus of the internal auditory canal and the base of the cochlear modiolus that carries cochlear nerve fibres. This study aimed to determine the distribution of bony labyrinth anomalies and cochlear nerve anomalies in patients with bony cochlear nerve canal and internal auditory canal atresia and stenosis, and then to compare the diameter of the bony cochlear nerve canal and internal auditory canal with cochlear nerve status.Methods:The study included 38 sensorineural hearing loss patients (59 ears) in whom the bony cochlear nerve canal diameter at the mid-modiolus was 1.5 mm or less. Atretic and stenotic bony cochlear nerve canals were examined separately, and internal auditory canals with a mid-point diameter of less than 2 mm were considered stenotic. Temporal bone computed tomography and magnetic resonance imaging scans were reviewed to determine cochlear nerve status.Results:Cochlear hypoplasia was noted in 44 out of 59 ears (75 per cent) with a bony cochlear nerve canal diameter at the mid-modiolus of 1.5 mm or less. Approximately 33 per cent of ears with bony cochlear nerve canal stenosis also had a stenotic internal auditory canal and 84 per cent had a hypoplastic or aplastic cochlear nerve. All patients with bony cochlear nerve canal atresia had cochlear nerve deficiency. The cochlear nerve was hypoplastic or aplastic when the diameter of the bony cochlear nerve canal was less than 1.5 mm and the diameter of the internal auditory canal was less than 2 mm.Conclusion:The cochlear nerve may be aplastic or hypoplastic even if temporal bone computed tomography findings indicate a normal cochlea. If possible, patients scheduled to receive a cochlear implant should undergo both computed tomography and magnetic resonance imaging of the temporal bone. The bony cochlear nerve canal and internal auditory canal are complementary structures, and both should be assessed to determine cochlear nerve status.

Cochlear nerve diameter in normal hearing ears using high-resolution magnetic resonance imaging

2009 ◽  
Vol 119 (10) ◽  
pp. 2042-2045 ◽  
Author(s):  
Eric M. Jaryszak ◽  
Nimish A. Patel ◽  
Morgan Camp ◽  
Anthony A. Mancuso ◽  
Patrick J. Antonelli
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
High Resolution ◽  
Normal Hearing ◽  
Cochlear Nerve ◽  
Resonance Imaging

scholarly journals Reproducibility of the Amygdalohippocampal Volumetry on Magnetic Resonance Imaging: Manual and Image Analyzer Measurements Versus Computer Assisted Measurement.

1995 ◽  
Vol 13 (2) ◽  
pp. 105-112
Author(s):  
Tohru Hoshida ◽  
Toshisuke Sakaki ◽  
Tetsuya Morimoto ◽  
Hiroshi Hashimoto ◽  
Shinichiro Kurokawa ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Computer Assisted ◽  
Image Analyzer ◽  
Resonance Imaging

scholarly journals Multimodal brain magnetic resonance imaging and perfusion computer assisted tomography scanning in evaluation of cerebroprotective efficacy of antihypertensive therapy

2009 ◽  
Vol 15 (3) ◽  
pp. 280-284
Author(s):  
E. V. Fedorenko ◽  
H. -J. Wittsack ◽  
A. M. Russina ◽  
N. L. Afanasieva ◽  
V. M. Gulyaev ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Blood Pressure ◽  
Magnetic Resonance ◽  
Systolic Blood Pressure ◽  
Antihypertensive Therapy ◽  
Computer Assisted ◽  
Diagnostic Study ◽  
Resonance Imaging ◽  
Computer Assisted Tomography ◽  
The Brain

A multimodal diagnostic study of the brain was carried out in 22 patients with arterial hypertension (mean systolic blood pressure 152,8 ± 7,6 mm Hg, mean diastolic blood pressure 94,6 ± 5,2 mm Hg), without cardiovascular events in anamnesis. Magnetic resonance imaging (MRI) imaging and dynamic contrast-enhanced perfusion X-ray computer assisted tomography scan (DynCT) of the brain were performed at admission and after six months of antihypertensive treatment. Based on the MRI and DynCT visual data the extent of periventricular oedema, dimensions of liquor system and regional cerebral blood flow (as ml/min/100 g tissue) were quantified. The quantitative MRI and DynCT indices were analyzed regarding the decrease of blood pressure. Significant decrease of periventricular oedema and improvement in perfusion of basal ganglii area were observed in patients demonstrated decrease in systolic blood pressure for 12-28 mm Hg. The degree of the blood pressure decrease was not associated with the significant MRI and DynCT data improvement. Hencefore, we conclude that the brain MRI and perfusion DynCT data can be employed for evaluation of cerebroprotective effects of antihypertensive therapy.

scholarly journals Intelligent Computer-Aided Prostate Cancer Diagnosis Systems: State-of-the-Art and Future Directions

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Rachid Sammouda ◽  
Abdu Gumaei ◽  
Ali El-Zaart
Keyword(s):  
Magnetic Resonance Imaging ◽  
Prostate Cancer ◽  
Magnetic Resonance ◽  
Cancer Diagnosis ◽  
Near Infrared ◽  
Computer Assisted ◽  
Resonance Imaging ◽  
Prostate Cancer Diagnosis ◽  
Detailed Review ◽  
Computer Aided

Prostate Cancer (PCa) is one of the common cancers among men in the world. About 16.67% of men will be affected by PCa in their life. Due to the integration of magnetic resonance imaging in the current clinical procedure for detecting prostate cancer and the apparent success of imaging techniques in the estimation of PCa volume in the gland, we provide a more detailed review of methodologies that use specific parameters for prostate tissue representation. After collecting over 200 researches on image-based systems for diagnosing prostate cancer, in this paper, we provide a detailed review of existing computer-aided diagnosis (CAD) methods and approaches to identify prostate cancer from images generated using Near-Infrared (NIR), Mid-Infrared (MIR), and Magnetic Resonance Imaging (MRI) techniques. Furthermore, we introduce two research methodologies to build intelligent CAD systems. The first methodology applies a fuzzy integral method to maintain the diversity and capacity of different classifiers aggregation to detect PCa tumor from NIR and MIR images. The second methodology investigates a typical workflow for developing an automated prostate cancer diagnosis using MRI images. Essentially, CAD development remains a helpful tool of radiology for diagnosing prostate cancer disease. Nonetheless, a complete implementation of effective and intelligent methods is still required for the PCa-diagnostic system. While some CAD applications work well, some limitations need to be solved for automated clinical PCa diagnostic. It is anticipated that more advances should be made in computational image analysis and computer-assisted approaches to satisfy clinical needs shortly in the coming years.

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