CT (Computed Tomography) Scans - A Level Physics

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  • Опубліковано 17 січ 2025

КОМЕНТАРІ • 198

  • @symoi1569
    @symoi1569 3 роки тому +38

    2021 and still the best video out there about CT calculation.
    Respect!

  • @tudorpopescu2061
    @tudorpopescu2061 8 років тому +34

    This explanation is simply the best one i have seen. you're doing a great job in explaining all these things. you are truly a life-saver

  • @sittoris
    @sittoris 9 років тому +169

    I have the same washing machine as you bro, according to the subtle background noise haha

  • @akosuafrimpong4465
    @akosuafrimpong4465 4 роки тому +6

    I honestly don’t know how to thank you enough. Your videos have been so easy to follow and understand. God bless you!!!

  • @Tim1Awesome
    @Tim1Awesome Рік тому +3

    After 11 years, 2023, this still helps people, thanks mate.

  • @DrPhysicsA
    @DrPhysicsA  12 років тому +32

    Indeed there is. Well spotted. On other videos you can also hear my dog bark and the kitchen clock which has a cow instead of a cuckoo.

    • @gateaspirant2383
      @gateaspirant2383 3 роки тому +1

      Does contrast between the tissues depends on the difference in average atomic number? (For CT)

  • @saraahmed632
    @saraahmed632 Рік тому +2

    I'm learning this in my third year physics degree and you have explained it way better than my professor

  • @ravindranathhospital1362
    @ravindranathhospital1362 3 роки тому +2

    An awesome explanation. I could not find many videos and I am glad I spent my time on this video. You just made it so simple.

  • @spottymaldoon
    @spottymaldoon 7 років тому

    What a very clever presentation - so often they are fudged and nobody, maybe including the presenter, comes out understanding. Thank you for this - and well done!

  • @thanidunawanjana8457
    @thanidunawanjana8457 6 років тому +2

    After all these years, it helped me to clear my doubts. Thank you!

  • @ironrace2004
    @ironrace2004 11 років тому +1

    I love the way you broke this down. Very easy to understand the basic principles.

  • @ayeshashaikh4433
    @ayeshashaikh4433 4 роки тому +3

    I wanna cry, I was so stressed about this (cause my physics prof sucks) but you made it so easy! Thank you so much!!

  • @DrPhysicsA
    @DrPhysicsA  12 років тому +2

    Hi. Thanks for comments. Have you seen my 2 videos on Electromagnetism?

  • @stevenlachowski1371
    @stevenlachowski1371 10 років тому +17

    To those of you who say the algorithm doesn't work for anything more than a 2x2 array: For this size, only 4 total scans are necessary. A larger array will require more scans at differing angles to get a better picture of the object being scanned.

    • @Photosounder
      @Photosounder 5 років тому

      But you also have to replace subtracting by 16 with proper ramp filtering.

    • @laxminepal8801
      @laxminepal8801 5 років тому

      णत़ो

    • @borntobereal2004
      @borntobereal2004 10 місяців тому

      our teacher gave us a problem for 4x4 array and l don't have any idea how to solve that. He didn't tell us anything, just gave us this video and now we have to solve it.

  • @anaarias6418
    @anaarias6418 11 років тому +4

    This is such a good explanation. This is exactly what I was looking for. Thanks a lot!

  • @Guilherme-d5d
    @Guilherme-d5d 10 місяців тому

    Perfect and clear explanation. By far the best one! Thank you so much for sharing.

  • @rajeswaribandyopadhyay8155
    @rajeswaribandyopadhyay8155 3 роки тому

    The best explanation I have ever seen kudos to your dedication

  • @apayappirathapann
    @apayappirathapann 10 років тому +4

    Our college teacher made us to watch this video.
    I became big fan of Dr.Physics. you're making me love physics. Thanks indeed for your help sir. Could you do more A2 past paper questions on your channel please. Thanks again. And I would much appriciate you if you could do a video for course work preparation.

  • @xiangyu711
    @xiangyu711 5 років тому +2

    The algorithm is fantastic! Thanks for explaining this!

  • @hammadali8879
    @hammadali8879 2 місяці тому +1

    Really appreciated ❤❤

  • @Rosehillcottage9
    @Rosehillcottage9 7 років тому +1

    Thank you so much for making this video, it wasn't completely clear to me before but now I fully understand!

  • @tatujoy9921
    @tatujoy9921 11 років тому

    A Vary simple easy to understand video about the basic tenets of CT scanning, Very very good

  • @kingmetsoo5234
    @kingmetsoo5234 11 місяців тому

    Education never gets old 11yrs ago I was in grade 3 but today you helped sir in my A Level thank you

  • @raguaviva
    @raguaviva 11 років тому +3

    fantastic, I never thought it was so simple, in fact I always thought it was magic!

  • @csy_-oi5tk
    @csy_-oi5tk 5 років тому +27

    I finally understand why my physics lecturer is a pure rubbish after watching this 👍

    • @russellazure9316
      @russellazure9316 5 років тому +5

      My teacher literally just plays this video in class as if it was 'his' lecture

  • @antua38
    @antua38 12 років тому +1

    Awesome video, gonna use the example on my oral radiology test next week.

  • @Photosounder
    @Photosounder 5 років тому +1

    Doing an offset (subtracting 16) at the end is actually here a way of doing a high pass filter. Since there are only two possible frequencies for each axis, then subtracting lowers DC (frequency 0) which makes the other frequency (nyquist) relatively higher. Only works in this particular case.

  • @KanchanaAturupane
    @KanchanaAturupane 9 років тому +2

    thank you DrPhysicsA.... no one could've explained that any better

  • @aditimishra5853
    @aditimishra5853 Рік тому

    Realyyyy very veryyyyyy much thank you sir for this wonderful explanation thank you so much...... no one literally no one explained like you

  • @ClassicContent
    @ClassicContent 12 років тому

    Ah yes I've explored your page thank you very much. Understanding is the key, I think I'll have a greater chance of getting an A in the summer because of your helpful videos!

  • @saeedkamoon6466
    @saeedkamoon6466 4 роки тому +1

    very good presentation it easy, simple and clear..... thank you

  • @hanaa_-_
    @hanaa_-_ 7 років тому

    i just did this today at school.thank you soo much i understand it way better now!
    keep up the good work,you got another sub :)

  • @DrPhysicsA
    @DrPhysicsA  11 років тому

    I'm not sure which part of the video you are referring to, but I suspect I mean the ability and extent of the Xray to penetrate the material through which it is passing.

  • @AlexLilley
    @AlexLilley 8 років тому

    Thanks for this. My Year 13's and me are very grateful!!

  • @kokitoz
    @kokitoz 11 років тому

    Thank you very much, I've laways searched for a physics explaination like this!

  • @rf4085
    @rf4085 3 роки тому

    Fantastic video. Thank you sir. Your students are very fortunate to have a great teacher. Happy new year.

  • @Sigmamenhealth
    @Sigmamenhealth 8 років тому +19

    0:25 its Dota

  • @yahiaaymen7876
    @yahiaaymen7876 4 роки тому

    2020 and this video is still amazingly useful

  • @bluespike1482
    @bluespike1482 10 років тому

    Now I know way more than I need to. Thank you!

  • @almasmahir2091
    @almasmahir2091 Рік тому

    You are indeed a legend,boss

  • @calvinlwz231294
    @calvinlwz231294 11 років тому +2

    Sir, I don't understand why a deduction of 2X2 box with 7 7 9 9 is made? Is there a more complicated explanation to this?

  • @ctoumi2
    @ctoumi2 10 років тому

    Excellent tutorial - Better than my Imperial College lecturers.

  • @jakeb358
    @jakeb358 10 років тому

    That's awesome it really helps you understand stuff like this better

  • @Roboticdock
    @Roboticdock 10 років тому +1

    Thank you for sharing your knowledge. I appreciate it!

  • @Chinese_Story132
    @Chinese_Story132 Рік тому

    Thank you so much! such a clear explanation!

  • @khurramsarfraz3489
    @khurramsarfraz3489 11 років тому +1

    wow thanks alot sir. You even explain better than my college teacher! :D

  • @confirmhandle
    @confirmhandle 7 років тому +2

    What kind of computer of processor would a CT scanner use to add all this up? So much computation needed for just one voxel, insane !

    • @Ihaveanamenowtaken
      @Ihaveanamenowtaken 6 років тому +1

      Any processor that can do floating point operations will do. But if you want fast results, you need a decent processor. Any entry-level processor and some nice memory would work quite well.

  • @ChillingMysteriesTV
    @ChillingMysteriesTV 2 роки тому

    super clear cut explanation. thank you

  • @MikeAdorff
    @MikeAdorff 11 років тому +1

    First class explaination!
    Thank you!

  • @wajeihrajpoot1448
    @wajeihrajpoot1448 10 років тому +1

    awsum.... but i have a question why cat-scanner shows "fanned-out" array of x-ray beams....directed through patients?

  • @hazifahn
    @hazifahn Рік тому

    Thank you for explaining!

  • @phyzjqk
    @phyzjqk 9 років тому

    Awesome vid. The first step is the Radon transform

  • @surenthar6032
    @surenthar6032 4 роки тому +1

    Y it's 16 to subtract and 3 to divide??

  • @marcisrancans
    @marcisrancans 10 років тому

    WAJEIH RAJPOOT, fanned out x-ray beam is used to gather full slice data at particular moment of exposure for greater resolution. First xray machines in fact used single focused beam to gather data, but as computer data processing capabilities rise, it was possible to use fan-type beam and use detector array insted of just one.

  • @ClassicContent
    @ClassicContent 12 років тому

    Hello Doctor Physics, thank you for the fantastic videos.
    Is there any chance you would be able to make a video on Magnetic Fields? or recommend any links or other videos?

  • @aditimishra5853
    @aditimishra5853 Рік тому

    Wonderfullllllllllll physicssss lovelyyy explanation sir

  • @AntiProtonBoy
    @AntiProtonBoy 12 років тому

    I never knew about the initial subtraction part after accumulating the values in the voxels. I assumed you just compute the average (ie div by 4).

  • @variaresgaming5639
    @variaresgaming5639 3 місяці тому

    Thanku so much for explaining it really help me in radiology subject

  • @prathameshmandke5966
    @prathameshmandke5966 5 років тому

    Hey,
    Thanks for the clear and concise explanation.
    I have 2 queries.
    1. Are the computed voxel values directly interpretated as image pixel intensities which is what we see as the CT image?
    2. As per my understanding, the detector will record the intensities of the received beam whereas the numbers that you mention in the voxel's are attenuation coefficients. So, more the attenuation coefficient or a voxel lesser will be the intensity recorded. What exactly do the summed values 7, 9, etc. represent? Are they the attenuation coefficients or the intensities recorded by the detector?
    Thanks in advance!

  • @prasadanatekar
    @prasadanatekar 11 років тому

    Great way of explaining!
    Thank you.

  • @ishratmaqbool303
    @ishratmaqbool303 2 роки тому

    Really appreciable...thank you Sir could you please mention the name of this book in which this method is given please Sir ... Humble request...

  • @kokitoz
    @kokitoz 11 років тому +1

    Thank you very much, I've laways searched for a physics explaination like this! is there an algoritm for more block greater than 2x2? thanks again!

  • @zakirullah4088
    @zakirullah4088 5 років тому

    Great! explained very well. Thanks

  • @ActiveStorage
    @ActiveStorage 12 років тому

    whoever came up with this algorithm was a smart cookie

  • @blub232324
    @blub232324 12 років тому

    Is there a washing maschine running in the background?

  • @jesusalbertogonzalezcanas7415
    @jesusalbertogonzalezcanas7415 9 років тому +27

    at 0:30 is that the dota 2 logo? hahaha

  • @silverreyes7912
    @silverreyes7912 8 років тому

    at 10:07 do we just divide by a common factor; such as for the this example the common factor was 3?

  • @hbale18
    @hbale18 11 років тому

    Thanks for the simple explanation. What is the reasoning behind subtracting the sum total of 7 and 9 from the table before the final result?

    • @DrPhysicsA
      @DrPhysicsA  11 років тому +1

      Can you remind me the time on the video at which this occurs please?

    • @juanesarango
      @juanesarango 9 років тому +1

      hbale18 The idea is to substract the whole atenuation of the initial body (in this case the initial table). Which is 16 in every emission direction: 7+9=16, 4+11+1=16, 4+12=16, 3+5+8=16...

  • @Nishchalab
    @Nishchalab 10 років тому

    You are brilliant. Thank you!

  • @mosab643
    @mosab643 3 роки тому +1

    Who came up with the formula?

  • @savindurathnayake8618
    @savindurathnayake8618 3 роки тому

    Helps a lot man thank you ❤️

  • @hannahnelly1193
    @hannahnelly1193 7 років тому

    This was really helpful. Thanks!

  • @deltaslayer1132
    @deltaslayer1132 10 років тому +3

    Thx for the awesome vid, but I'm not sure what method this is for image reconstruction? Filtered Back Projection (FBP) or the iterative method? It's helps me a lot if you or someone knew! :)

    • @juanesarango
      @juanesarango 9 років тому +2

      DeltaSlayer Hi, It's the Filtered Back Projection (FBP) method!

    • @harrymarquis9691
      @harrymarquis9691 7 років тому +3

      Hi, I think more precisely it is the simple back projection method. The filtered method applies some form of filtering (such as convolution) on the projected profiles before it is back projected. Correct me if i'm wrong :) Cheers

  • @adrianobueno6984
    @adrianobueno6984 3 роки тому

    Nice explanation, thank you! One question: how to get from voxels to pixels to produce the image of that slice?

    • @gateaspirant2383
      @gateaspirant2383 3 роки тому

      Does contrast between the tissues depends on the difference in average atomic number? (For CT)

  • @lananhnguyen3336
    @lananhnguyen3336 3 роки тому

    how did you do it can you share with me , thank you

  • @kennykobau
    @kennykobau 11 років тому

    Why do we have to rotate it in 4 directions? can it done in any other number of directions?

  • @paulshallard6053
    @paulshallard6053 11 років тому

    this algorithm works fine for this particular 2x2 matrix but if you scale it up to 3x3 using the numbers 1-9 it fails resulting in negative intensities?

  • @chaymm
    @chaymm Рік тому

    ima need this with a 3x3, have never been asked to do one below a 3x3.

  • @edlee345
    @edlee345 9 років тому

    thanks for sharing such helpful video ! Much appreciated :)

  • @Dr3aash
    @Dr3aash 11 років тому

    Can you please do a series on op-amps? If already done please refer it to me. Thanks.

    • @DrPhysicsA
      @DrPhysicsA  11 років тому

      There is a video on logic gates in the A-level revision playlist which covers an introduction to op amps

  • @zatulmutalif3230
    @zatulmutalif3230 11 років тому

    sir what do you mean by when you said 'INTENSITY' of the x ray??

  • @frankamoscatelli983
    @frankamoscatelli983 6 років тому

    Very nice description. But I think you need to emphasize that you solver the *forward* problem. That is, given the voxel absorption values, find the absorptions of the 4 beams. Actually going into hospital and getting a CT scan and reconstructing the voxel values from it is the *inverse* problem. Is the inverse solution unique? Often they are not.

  • @oneinabillion654
    @oneinabillion654 5 років тому +1

    Hi, one of the question mentioned "background reading". May I know what that is?

  • @adnanalkurdi4823
    @adnanalkurdi4823 8 років тому +2

    is he washing ? or is it a blender?

  • @Hussainfhs
    @Hussainfhs 3 роки тому

    Please explain Iterative reconstruction

  • @becizaistrup2920
    @becizaistrup2920 3 роки тому

    Very good video! Thank you very much :D

    • @gateaspirant2383
      @gateaspirant2383 3 роки тому

      Does contrast between the tissues depends on the difference in average atomic number? (For CT)

  • @shockingvideos5225
    @shockingvideos5225 9 років тому +1

    respected sir there is a point in the syllabus that understand how the image of 8-voxel can be developed using CT scan
    You explained 4-voxel, please explain it

  • @srinivasan7892
    @srinivasan7892 2 роки тому

    I still can't understand why you did the sum only for three projection(why did you left remaining projection) and dividing your fellow answer with three? CT scan doesn't stop with scanning three projection right?? it scans the whole body,it means it pixel value changes throughout the 360° right? so you can't divide it with three..will you divide it with 6??

  • @patricktan7120
    @patricktan7120 5 років тому

    Why is the background reading the sum of attenuation for one scan??? And why is everything divided by 3 in the final step?????

  • @NEILALEXANDERMADRIGAL
    @NEILALEXANDERMADRIGAL 5 років тому

    What do you call this kind of CT reconstruction?? Because we have different kinds of CT reconstruction - Back projection, Iterative, and Analytic Method. What is this kind?

  • @messapatingy
    @messapatingy 5 років тому

    How does this scale from a 2 by 2 to an N by N grid?

  • @ericthecyclist
    @ericthecyclist 6 років тому

    I'm puzzled by the apparent additive nature of the voxels rather than multiplicative. If I shine a light through a two filters that individually block out 50% of the light, I'd expect that combining the two would block out 1 - .5*.5 = 75% of the light, not 100%. Do XRays operate differently, or is the percentage of X rays blocked so small that using addition is an acceptable approximation for multiplication?

    • @yurifranken
      @yurifranken Рік тому

      these numbers are in a logarithmic scale, adding logarithms of numbers is the same as multiplying the numbers

  • @JuiceBoxBoiii
    @JuiceBoxBoiii 6 років тому

    Thank you! Great revision video. ^_^

  • @reychill91
    @reychill91 8 років тому +3

    by the way, are you boiling water when you were doing the video?

    • @tudorpopescu2061
      @tudorpopescu2061 8 років тому +1

      sounded like a washing machine

    • @confirmhandle
      @confirmhandle 7 років тому

      Sounds like a CT scanner gantry ramping up to speed and back down!

  • @fredericzoni365
    @fredericzoni365 11 років тому

    Is that an simplification for the filtered back projection (FBR)?

  • @gateaspirant2383
    @gateaspirant2383 3 роки тому

    Does contrast between the tissues depends on the difference in average atomic number? (For CT)

  • @Arnob127
    @Arnob127 8 років тому

    thanks a loooooooot, sir! you r a life saver

    • @gateaspirant2383
      @gateaspirant2383 3 роки тому

      Does contrast between the tissues depends on the difference in average atomic number? (For CT)

  • @thiruvasagam8682
    @thiruvasagam8682 8 років тому

    thank you for these information

  • @roentgentech684
    @roentgentech684 2 роки тому

    Thank You So Much

  • @turturicagabriel9435
    @turturicagabriel9435 8 років тому

    What is the name of this method ?