Question:
High resolution CT (HRCT) of the lung is a specialized CT technique for greater detail of the lung parenchyma. It utilizes:
High resolution CT (HRCT) of the lung is a specialized CT technique for greater detail of the lung parenchyma. It utilizes:
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HRCT needs thin slices, a small field of view, and a sharp bone-type reconstruction algorithm, not thick slices or a large field.
Updated On: Jul 8, 2026
- Special lung filters
- Thick collimation
- Bone algorithm for image reconstruction
- Large field of view
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The Correct Option is C
Solution and Explanation
Step 1: Understanding the Question:
HRCT of the lung is designed to bring out fine detail in the lung tissue, such as small nodules, interstitial thickening, and early fibrosis, that a routine chest CT can miss. We need the technical setting that makes this extra detail possible.
Step 2: Key Concept:
HRCT relies on three main technical features: very thin slice collimation (about 1 to 1.5 mm, not thick slices), a high spatial frequency reconstruction algorithm (commonly called a bone or sharp algorithm because it sharpens edges the way it is used for bone detail), and a small, targeted field of view over the area of interest rather than a large one.
Step 3: Detailed Explanation:
Thin collimation reduces partial volume averaging, letting small structures like the secondary pulmonary lobule be seen clearly, so option (B), thick collimation, is the opposite of what HRCT needs and is incorrect.
The bone or sharp reconstruction algorithm sharpens edges and boosts spatial resolution, which is exactly what is needed to see fine interstitial lines and small nodules, making option (C) correct.
A small field of view, not a large one, is used so pixel size shrinks and detail improves, so option (D) is incorrect.
"Special lung filters" is not a real, standard part of HRCT technique the way thin slices, sharp algorithm, and small field of view are, so option (A) is incorrect.
Step 4: Final Answer:
HRCT of the lung uses a bone (high spatial frequency, edge-sharpening) algorithm for image reconstruction, along with thin collimation and a small field of view.
\[ \boxed{\text{Bone algorithm for image reconstruction}} \]
HRCT of the lung is designed to bring out fine detail in the lung tissue, such as small nodules, interstitial thickening, and early fibrosis, that a routine chest CT can miss. We need the technical setting that makes this extra detail possible.
Step 2: Key Concept:
HRCT relies on three main technical features: very thin slice collimation (about 1 to 1.5 mm, not thick slices), a high spatial frequency reconstruction algorithm (commonly called a bone or sharp algorithm because it sharpens edges the way it is used for bone detail), and a small, targeted field of view over the area of interest rather than a large one.
Step 3: Detailed Explanation:
Thin collimation reduces partial volume averaging, letting small structures like the secondary pulmonary lobule be seen clearly, so option (B), thick collimation, is the opposite of what HRCT needs and is incorrect.
The bone or sharp reconstruction algorithm sharpens edges and boosts spatial resolution, which is exactly what is needed to see fine interstitial lines and small nodules, making option (C) correct.
A small field of view, not a large one, is used so pixel size shrinks and detail improves, so option (D) is incorrect.
"Special lung filters" is not a real, standard part of HRCT technique the way thin slices, sharp algorithm, and small field of view are, so option (A) is incorrect.
Step 4: Final Answer:
HRCT of the lung uses a bone (high spatial frequency, edge-sharpening) algorithm for image reconstruction, along with thin collimation and a small field of view.
\[ \boxed{\text{Bone algorithm for image reconstruction}} \]
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