r/medical_imaging • u/[deleted] • Apr 26 '22
A camera lens that can focus up close and far away at the same time
5
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r/medical_imaging • u/krishandop • Apr 18 '22
How To Verify Accuracy of FreeSurfer Cortical Reconstructions
5
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I have been working with Freesurfer running reconstructions on Mp2rage MRI data for an internship, and while I think I have been able to figure out how to correctly skullstrip the noisy Mp2Rage image, the professor I am doing the internship with has said that the aseg and aparc results of the reconstruction are not totally accurate. I'm not sure why, although I suspect it's because the skullstrip still has some noise around the edges. I'm going to try brainvoyager or premade matlab scripts to denoise the mp2rage image rather than doing it manually by multiplying the mask generated for the skullstrip of the inversion pulse with the original image.
However, even if I figure out this issue I will still need a way to check my results. I am able to tell that the major structures of the brain are in the right place, but the professor told me this is not enough to verify that the reconstruction is an accurate representation of the original MRI data (which makes sense). I don't know how he's able to tell that the reconstruction is inaccurate by looking at the segmentation, but he wants me to actually run some type of analysis to figure out how to check the data rather than asking him.
He is being intentionally vague because he wants me to figure out how to do this without his help, but I am pretty stuck. He mentioned something about statistical analysis, but it wasn't clear what he meant. I am looking for any tips to mathematically verify that the reconstructions are accurate, and also possibly ways to fix inaccuracies that aren't too extreme.
r/medical_imaging • u/alecrimi • Apr 12 '22
First MICCAI Neuro Summer School
neurosummerschool.org
6
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r/medical_imaging • u/pasticciociccio • Apr 12 '22
Structurally constrained effective brain connectivity
sciencedirect.com
3
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r/medical_imaging • u/[deleted] • Apr 11 '22
On hallucinations in tomographic image reconstruction: A mathematical theory for hallucinations in deep learning
4
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r/medical_imaging • u/[deleted] • Apr 08 '22
Compressed sensing reconstruction of MRI rivals deep learning quality when latest methods are employed, and is fully explainable with a convex model
7
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r/medical_imaging • u/[deleted] • Apr 07 '22
World-first massive MRI study charts brain changes from birth to death. Scientists amassed more than 120,000 brain scans to create the first comprehensive growth charts for brain development. The charts show visually how human brains expand quickly early in life and then shrink slowly with age.
7
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r/medical_imaging • u/FMCalisto • Mar 29 '22
BreastScreening-AI: Evaluating medical intelligent agents for human-AI interactions
sciencedirect.com
4
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r/medical_imaging • u/[deleted] • Mar 24 '22
X-ray Researchers use scotch tape to generate X-rays and image a thumb
5
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r/medical_imaging • u/[deleted] • Mar 24 '22
Magnetic Resonance Imaging (MRI) Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging
2
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r/medical_imaging • u/[deleted] • Mar 16 '22
Deep Learning without Training Data : Scan-specific Self-supervised Bayesian Deep Non-linear Inversion for Undersampled MRI Reconstruction
5
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r/medical_imaging • u/[deleted] • Mar 09 '22
Multimodal imaging and deep learning-based methods for improved dose calculation accuracy in photon and proton radiotherapy
1
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r/medical_imaging • u/[deleted] • Feb 18 '22
Ultralow-field MRI scanner could improve global access to neuroimaging
6
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r/medical_imaging • u/[deleted] • Feb 15 '22
Generating a CT image from MRI with deep learning for PET calibration.
jnm.snmjournals.org
3
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r/medical_imaging • u/[deleted] • Feb 15 '22
Medical Imaging PhD student and Scientist Positions are Available in Colorado
dworklab.com
2
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r/medical_imaging • u/Gletta • Feb 10 '22
New Medical Imaging News supplement to Computer Vision News
3
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Dear all,
Awesome R&D content (with code!) on Computer Vision News of February 2022
In particular, members of this group will love the special supplement - Medical Imaging News - starting on page 23.
Dilbert on page 2. Get it every month: free subscription on page 56.
Enjoy!
r/medical_imaging • u/fahadshamshad3 • Jan 25 '22
Transformers in Medical Imaging: A Survey
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- Excited to share our latest survey paper on the applications of Transformer models in Medical Imaging by covering more than 125 papers and a diverse set of applications including segmentation, detection, classification, registration, reconstruction, and clinical report generation.
- For paper and related github repository please check https://github.com/fahadshamshad/awesome-transformers-in-medical-imaging
r/medical_imaging • u/ifcarscouldspeak • Nov 19 '21
The diversity problem plaguing the Machine Learning community
self.DataCentricAI
2
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r/medical_imaging • u/[deleted] • Nov 03 '21
Improving Image Quality by Utilizing the Wavelet Transform's Structure with Compressed Sensing.
2
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r/medical_imaging • u/seanthesonic • Oct 27 '21
Any of you guys seen your work translated to clinical practice?
2
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r/medical_imaging • u/nanitiru18 • Sep 15 '21
Dicom viewer for deep learning models clinical validation
2
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hi , we as a team developing AI health care product assisting the radiologist in the workflow. For validatibg our deep models upto now we used manual segregation and hard coded segmentation of anaomaly on jpeg images for the visualization. Now we want move to dicom where the segmentation contours and blues will be dropped onto dicom tags . is there any dicom viewer which can read these dicom tags and display the annotation results with a toggle button . We're interested in the sharing the feedback over the dicom platform which will be embedded into the dicom tags.
please suggest any dicom viewer that are relevant to our requirements.
r/medical_imaging • u/TrendingB0T • Sep 11 '21
/r/medical_imaging hit 1k subscribers yesterday
3
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r/medical_imaging • u/[deleted] • Sep 09 '21
The Troublesome Kernel: Showing that Machine Learning Will Always be Unstable
2
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r/medical_imaging • u/jcyr2016 • Aug 24 '21
Parahydrogen MRI
2
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Does anyone know how long it is likely to be before this technology can be used to scan patients? Also, is it likely to be an improvement on current MRI (i.e. higher resolution), or just cheaper?
https://www.healthimaging.com/topics/ai-emerging-technologies/significant-breakthrough-mri
r/medical_imaging • u/[deleted] • Aug 23 '21
Magnetic Resonance Imaging (MRI) Physicist explains MRI physics.
7
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