2023
DOI: 10.21037/qims-23-232
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Targeted magnetic resonance imaging (tMRI) of small changes in the T1 and spatial properties of normal or near normal appearing white and gray matter in disease of the brain using divided subtracted inversion recovery (dSIR) and divided reverse subtracted inversion recovery (drSIR) sequences

Ya-Jun Ma,
Dina Moazamian,
John D. Port
et al.

Abstract: This review describes targeted magnetic resonance imaging (tMRI) of small changes in the T 1 and the spatial properties of normal or near normal appearing white or gray matter in disease of the brain. It employs divided subtracted inversion recovery (dSIR) and divided reverse subtracted inversion recovery (drSIR) sequences to increase the contrast produced by small changes in T 1 by up to 15 times compared to conventional T 1 -weighted invers… Show more

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Cited by 4 publications
(9 citation statements)
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“…AI is a very advantageous tool in the fight against skin cancer 44 . Esteva et al,'s research revealed that AI's discriminative skills were comparable to those of dermatologists and those without specialized training 45 . Using DL methods like convolutional neural networks, AI was used to categorize and diagnose various skin disorders by analyzing a large library of roughly 130,000 photos of over 2000 skin ailments 44,45 .…”
Section: Ai In the Detection And Diagnosis Of Skin Cancermentioning
confidence: 96%
See 1 more Smart Citation
“…AI is a very advantageous tool in the fight against skin cancer 44 . Esteva et al,'s research revealed that AI's discriminative skills were comparable to those of dermatologists and those without specialized training 45 . Using DL methods like convolutional neural networks, AI was used to categorize and diagnose various skin disorders by analyzing a large library of roughly 130,000 photos of over 2000 skin ailments 44,45 .…”
Section: Ai In the Detection And Diagnosis Of Skin Cancermentioning
confidence: 96%
“…Esteva et al,'s research revealed that AI's discriminative skills were comparable to those of dermatologists and those without specialized training 45 . Using DL methods like convolutional neural networks, AI was used to categorize and diagnose various skin disorders by analyzing a large library of roughly 130,000 photos of over 2000 skin ailments 44,45 . This technological breakthrough enables the development of diagnostic tools that are efficient, precise, and easily accessible.…”
Section: Ai In the Detection And Diagnosis Of Skin Cancermentioning
confidence: 96%
“…The description is included to make this paper self-contained and to provide a basis for the interpretation of dSIR images as well as the discussion of their features. More detailed descriptions of dSIR sequences and images are included in previous papers [15,16].…”
Section: Theorymentioning
confidence: 99%
“…No abnormalities were seen on their T 2 -FLAIR images, but extensive changes were seen in the white matter of their cerebral and cerebellar hemispheres using divided Subtracted Inversion Recovery (dSIR) sequences. These sequences are sensitive to changes in T 1 and may show ten or more times the contrast seen with conventional inversion recovery (IR) sequences when imaging small increases in T 1 from normal levels due to disease [15].…”
Section: Introductionmentioning
confidence: 99%
“…In 2022 and 2023 we described the dSIR technique, which is even more sensitive to small changes in T 1 [19,20]. This sequence takes two images obtained using the IR technique and generates a third image by performing a voxel-by-voxel division of their difference by their sum.…”
Section: Imaging Of Msmentioning
confidence: 99%