Multiresolution image registration for multimodal brain images and fusion for better neurosurgical planning

Nandish, S; Prabhu, K. Gopalakrishna; Rajagopal, KV

doi:10.1016/j.bj.2017.09.002

Cited by 23 publications

(12 citation statements)

References 4 publications

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“…In this section, we focus on registration and fusion of MRI. For literature including alternative imaging modalities such as CT and ventriculography, see [ 190 , 191 ].…”

Section: Registration and Image Fusionmentioning

confidence: 99%

Methodological Considerations for Neuroimaging in Deep Brain Stimulation of the Subthalamic Nucleus in Parkinson’s Disease Patients

Isaacs

Keuken

Alkemade

et al. 2020

JCM

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Deep brain stimulation (DBS) of the subthalamic nucleus is a neurosurgical intervention for Parkinson’s disease patients who no longer appropriately respond to drug treatments. A small fraction of patients will fail to respond to DBS, develop psychiatric and cognitive side-effects, or incur surgery-related complications such as infections and hemorrhagic events. In these cases, DBS may require recalibration, reimplantation, or removal. These negative responses to treatment can partly be attributed to suboptimal pre-operative planning procedures via direct targeting through low-field and low-resolution magnetic resonance imaging (MRI). One solution for increasing the success and efficacy of DBS is to optimize preoperative planning procedures via sophisticated neuroimaging techniques such as high-resolution MRI and higher field strengths to improve visualization of DBS targets and vasculature. We discuss targeting approaches, MRI acquisition, parameters, and post-acquisition analyses. Additionally, we highlight a number of approaches including the use of ultra-high field (UHF) MRI to overcome limitations of standard settings. There is a trade-off between spatial resolution, motion artifacts, and acquisition time, which could potentially be dissolved through the use of UHF-MRI. Image registration, correction, and post-processing techniques may require combined expertise of traditional radiologists, clinicians, and fundamental researchers. The optimization of pre-operative planning with MRI can therefore be best achieved through direct collaboration between researchers and clinicians.

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“…In this section, we focus on registration and fusion of MRI. For literature including alternative imaging modalities such as CT and ventriculography, see [ 190 , 191 ].…”

Section: Registration and Image Fusionmentioning

confidence: 99%

Methodological Considerations for Neuroimaging in Deep Brain Stimulation of the Subthalamic Nucleus in Parkinson’s Disease Patients

Isaacs

Keuken

Alkemade

et al. 2020

JCM

View full text Add to dashboard Cite

show abstract

“…Nandish et al. [14] test approaches to fuse CT and MRI images. Their findings could be applied to improve neurosurgical planning.…”

Section: Also In This Issuementioning

confidence: 99%

Microbes are off the menu: Defective macrophage phagocytosis in COPD

Walton¹

2017

Biomedical Journal

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In this issue of the Biomedical Journal, we learn about the pathophysiology of chronic obstructive pulmonary disease and how defective macrophage phagocytosis may lead to the build up of microbes and pollutants in inflamed lungs. We also focus on new findings that may take us a step closer to full automation in diagnostic bacteriology laboratories. Finally, we highlight the anti-tumor properties of microalgae and the application of algorithms to predict human emotion from electrocardiogram.

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“…Image registration has been applied extensively in many fields, such as biomedical image analysis, remote sensing, computer vision, and pattern matching [12]. Biomedical imaging involves different modalities, with different physics [13]. Each modality provides different information that are complementary to each other, and registration of multiple images is often required to combine the complementary information [13].…”

Section: Introductionmentioning

confidence: 99%

“…Biomedical imaging involves different modalities, with different physics [13]. Each modality provides different information that are complementary to each other, and registration of multiple images is often required to combine the complementary information [13]. In medical pattern recognition, it is often necessary to align all images in an atlas.…”

Section: Introductionmentioning

confidence: 99%

Anatomical Point-of-Interest Detection in Head MRI Using Multipoint Feature Descriptor

Chen

et al. 2020

IEEE Access

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Automatic detection of specific anatomical points of interest (POIs) in head magnetic resonance imaging (MRI) is a technical bottleneck in medical image registration and big data analysis for head diseases. A technique for automatically retrieving POIs in head MRI scans is explored in this study. A Haar-like feature of the image is introduced to generate the feature description vector of the POI, and the most appropriate standard vector is selected from multiple marked images. A fixed five-point joint feature description is proposed for solid POI detection, and an adaptive three-point joint feature description is proposed for cavity POI detection. A total of 516 head MRI volumes were used for anatomical point detection. A solid point detection experiment was conducted using the POIs of the right/left internal acoustic pore (RIA/LIA). The POIs of the right/left ascending segment of the internal carotid artery in the posterior cavernous sinus (RAS/LAS) were used in a cavity point detection experiment. The experimental results show that the accuracies of the solid point detection for LIA and RIA are 81.8% and 84.7%, respectively. Those of cavity point detection for LAS and RAS are 66.7% and 76.2%. The performance of the proposed method is better than those of BRIEF and SIFT algorithm. The proposed method can facilitate the marking of anatomical points for doctors, thus providing technical support for head image automatic registration and big data analysis for head diseases.

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Multiresolution image registration for multimodal brain images and fusion for better neurosurgical planning

Cited by 23 publications

References 4 publications

Methodological Considerations for Neuroimaging in Deep Brain Stimulation of the Subthalamic Nucleus in Parkinson’s Disease Patients

Methodological Considerations for Neuroimaging in Deep Brain Stimulation of the Subthalamic Nucleus in Parkinson’s Disease Patients

Microbes are off the menu: Defective macrophage phagocytosis in COPD

Anatomical Point-of-Interest Detection in Head MRI Using Multipoint Feature Descriptor

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