Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Convolution Properties II01:17

Convolution Properties II

The important convolution properties include width, area, differentiation, and integration properties.
The width property indicates that if the durations of input signals are T1 and T2, then the width of the output response equals the sum of both durations, irrespective of the shapes of the two functions. For instance, convolving two rectangular pulses with durations of 2 seconds and 1 second results in a function with a width of 3 seconds.
The area property asserts that the area under the...
Position-effect Variegation02:32

Position-effect Variegation

In 1928, a German botanist Emil Heitz observed the moss nuclei with a DNA binding dye. He observed that while some chromatin regions decondense and spread out in the interphase nucleus, others do not. He termed them euchromatin and heterochromatin, respectively. He proposed that the heterochromatin regions reflect a functionally inactive state of the genome. It was later confirmed that heterochromatin is transcriptionally repressed, and euchromatin is transcriptionally active chromatin.
Convolution Properties I01:20

Convolution Properties I

Convolution computations can be simplified by utilizing their inherent properties.
The commutative property reveals that the input and the impulse response of an LTI (Linear Time-Invariant) system can be interchanged without affecting the output:
Aliasing01:18

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...
Upsampling01:22

Upsampling

Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
Downsampling01:20

Downsampling

When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Multiscale connectivity framework for working memory network in paediatric acute lymphoblastic leukaemia survivors.

Brain communications·2026
Same author

Cohort profile: the Resilient Minds national study of mental health and cognitive resilience in community dwelling adults aged 18 to 93.

Frontiers in digital health·2026
Same author

FVE and HDA9 form a complex to promote thermomorphogenesis by reducing H2A.Z deposition through histone deacetylation.

The Plant cell·2026
Same author

Targeted editing of H3K27me3 reveals its significance in the photoperiodic control of FLOWERING LOCUS T.

Plant physiology·2025
Same author

Comparing Whole-Body Diffusion-weighted MRI to Conventional Imaging: Staging Pediatric Bone and Soft-Tissue Sarcomas.

Radiology. Imaging cancer·2025
Same author

Drought inhibits thermomorphogenesis via salicylic acid-mediated suppression of ELF3 phase separation.

The Plant journal : for cell and molecular biology·2025

Related Experiment Video

Updated: May 29, 2026

High-Contrast and Fast Photorheological Switching of a Twist-Bend Nematic Liquid Crystal
06:24

High-Contrast and Fast Photorheological Switching of a Twist-Bend Nematic Liquid Crystal

Published on: October 31, 2019

QUIPSS II with window-sliding saturation sequence (Q2WISE).

Ruitian Song1, Ralf B Loeffler, Claudia M Hillenbrand

  • 1Department of Radiological Sciences, St. Jude Children's Research Hospital, Memphis, TN, USA.

Magnetic Resonance in Medicine
|September 29, 2011
PubMed
Summary

A new MRI technique, quantitative imaging of perfusion using a single subtraction II with window-sliding saturation sequence (Q2WISE), reduces specific absorption rates while accurately measuring brain and kidney perfusion. This method offers a safer alternative to Q2TIPS for perfusion imaging.

More Related Videos

SIVQ-LCM Protocol for the ArcturusXT Instrument
07:37

SIVQ-LCM Protocol for the ArcturusXT Instrument

Published on: July 23, 2014

Related Experiment Videos

Last Updated: May 29, 2026

High-Contrast and Fast Photorheological Switching of a Twist-Bend Nematic Liquid Crystal
06:24

High-Contrast and Fast Photorheological Switching of a Twist-Bend Nematic Liquid Crystal

Published on: October 31, 2019

SIVQ-LCM Protocol for the ArcturusXT Instrument
07:37

SIVQ-LCM Protocol for the ArcturusXT Instrument

Published on: July 23, 2014

Area of Science:

  • Magnetic Resonance Imaging
  • Medical Physics
  • Physiology

Background:

  • Quantitative perfusion imaging is crucial for diagnosing various medical conditions.
  • Existing methods like quantitative imaging of perfusion using a single subtraction II with thin-slice TI(1) periodic saturation (Q2TIPS) can increase specific absorption rates.
  • Minimizing specific absorption rates is essential for patient safety during MRI scans.

Purpose of the Study:

  • To develop and evaluate a novel MRI technique, quantitative imaging of perfusion using a single subtraction II with window-sliding saturation sequence (Q2WISE).
  • To assess Q2WISE's ability to maintain accurate perfusion measurements while reducing specific absorption rates compared to Q2TIPS.
  • To validate Q2WISE for brain and kidney perfusion assessment in healthy volunteers.

Main Methods:

  • Development of the Q2WISE sequence, replacing multiple thin saturation pulses with a window-sliding pattern of two thin and one thick pulse.
  • Implementation of Q2WISE and Q2TIPS on a 3 Tesla MRI scanner.
  • Measurement of brain and kidney perfusion rates in eight healthy volunteers using both sequences.

Main Results:

  • Q2WISE effectively maintains a sharp slice profile while significantly reducing specific absorption rates compared to Q2TIPS.
  • Mean brain perfusion values were 75 ± 17 mL/100 g/min for Q2WISE and 74 ± 13 mL/100 g/min for Q2TIPS.
  • Mean kidney perfusion values were 308 ± 48 mL/100 g/min for Q2WISE and 299 ± 43 mL/100 g/min for Q2TIPS, showing excellent agreement between methods.

Conclusions:

  • Q2WISE is a viable hybrid technique combining benefits of Q2TIPS and quantitative imaging of perfusion using a single subtraction II.
  • Q2WISE provides accurate perfusion measurements in the brain and kidneys with reduced specific absorption rates.
  • This technique is suitable for applications where specific absorption rate reduction is critical.